Graduate School of Social and Political Studies

Degree Title: Taught Masters in Social Research

 

Examination Number: 3134133

Matriculation Number: 0231341

Gregory Butler

 

 

 

Dissertation Title:

Sustainability and Transport: The Case for an Increased Role for Cycling

 

 

 

 

Word Count: 14,989 Excluding Title Page, Abstract, References, and Appendices.

 

 

I hereby declare that this dissertation is my own work and all references have been cited as appropriate:

 

 

 

Gregory Butler
Abstract: One of the key environmental debates occurring at present involves the role of the automobile, and our continued ability to depend on it as a foundational transportation system. The car appears to be a lightning rod for controversy.  Often, the solution for the problems posed by automobile domination is public transit.   There certainly is a strong case to be made for increased public transportation; however, this dissertation examines the hypothesis that cycling is also particularly suited to play a central role in the urban transportation system.  This paper examines some of the criticism against cars – in particular their possible role in contributing to global warning, as well as accusations that they damage the fabric of civic life.  The case for cycling is then examined, first by looking at some of its positive aspects, and later by attempting to determine its ability to serve as a significant urban transportation mode.  This later examination involves some historical analysis, but primarily is carried out by comparing characteristics of cyclists at the local (York) and national level in the United Kingdom.

 


Acknowledgement: No piece of academic work can stand on its own, and certainly my dissertation is no exception.  I would like to thank first, Dr. Bob Hodgart for his many insights into possible approaches for the study of my topic, for his excellent comments on ways to improve the presentation of my findings and most specifically for his generosity with his time. 

 

Secondly, I would like to thank my course convenor Dr. Andrew Thompson as well as the lecturers and support staff at Edinburgh University for helping me to access resources needed for my research.

 

Third, I would like to thank Dr. Philippe Crabbé, Dr. Richard Day and Dr. Martin Daly for their willingness to serve as references for my studies at Edinburgh.  Also I wish to acknowledge the taxpayers of Canada for permitting me the opportunity to leave my job in Ottawa for a year of research and the taxpayers of the United Kingdom and the staff of the Census Microdata Unit at Manchester University who provided free of charge the data which was central to my research.  I hope the final result in some small way justifies their investment in me.

 

Finally, and most importantly, I would like to thank the cast of friends, family and teachers without whom none of my academic work would have been possible.  From storing boxes, offering prayer or encouragement, to the Herculean task of getting some knowledge of mathematics into my thick skull, I am in their debt.

 

I would like to dedicate the work that I have done for my dissertation to three people in particular.  First, to my late grandmother Ida Conner who made my studies possible, secondly to my grandfather A.M Butler from whom I learned the importance of using what gifts one possesses for the common good, and finally to my great grandfather Harold Butler who fell in love with Edinburgh during the First World War and who wanted to go to university.
Table of Contents

1.0 Introduction.. 1

2.0 Literature Review... 3

2.1 Differing views about the nature of sustainability. 3

2.2 Deep Ecology, Sustainable Development and Market solutions. 4

2.3 Greenhouse Gas Emissions. 8

2.4 Urban Life, Industrialisation and the Car. 12

2.5 The Automobile - Public Transportation Mix. 13

2.6 Additional Criticisms of automobile Dependency. 16

2.7 The Bicycle as Transport 19

2.8 Prior Work on Cycling in the United Kingdom.. 21

2.9 Conclusion. 22

3.0 Methodology for Studying Cycling – York and the UK.. 23

3.1 Introduction. 23

3.2 Overview of data to be employed and why. 23

3.3 Key Variables. 24

3.4 Chi-square Analysis. 26

3.5 Understanding Cycling at Local and National Levels. 28

3.6 Working with Sample Data. 30

4.0 Results. 31

4.1 Introduction. 31

4.2 Gender. 31

4.3 Age. 33

4.4 Ethnicity. 35

4.5 Social Class. 36

4.6 Housing Tenure. 37

4.7 Travel Distance. 39

4.8 Commuter Efficiency. 40

5.0 Conclusions. 43

5.1 Stabilising Greenhouse Gases Requires Significant Action. 43

5.2 Urban Travel in the Developed World Contributes to Carbon Emissions. 43

5.3 Cycling Could Alleviate Some Problems Created by Automobiles. 44

5.4 Demographically, Urban Cyclists are not a Fringe Group. 44

5.5 Cycling Appears to be Consistent with Economic Wellbeing. 45

5.6 Cycling is not the Preserve of the Young. 45

5.7 Cycling Appears to be Appropriate for Many Urban Commuters. 46

5.8 The UK Appears to Have Room to Grow in Cycle Usage. 47

5.9 Cycling and Urban Planning Are Inter-dependent 47

5.10 Summary. 48

5.11 Next steps. 49

6.0 References. 51

Appendices. 55

Appendix A Alternative Cities to York for Investigation. 55

Appendix B  The Two Percent Sample. 57

Appendix C  Variations in the Population of Cyclists. 59

Appendix D Efficiency and Public Transportations. 61

Appendix E Home Tenure by Region. 63

 


Table of Figures

 

Figure 1. 9

Figure 2. 11

Figure 3. 11

Figure 4. 13

Figure 5. 14

Figure 6. 15

Figure 7. 29

Figure 8. 32

Figure 9. 33

Figure 10. 34

Figure 11. 35

Figure 12. 36

Figure 13. 36

Figure 14. 37

Figure 15. 38

Figure 16. 39

Figure 17. 40

Figure 18. 40

Figure 19. 41

Figure 20. 56

Figure 21. 58

Figure 22. 63

 


1.0 Introduction

 

A debate about the structure of the city is currently underway in the academic and popular press and this is partially connected with the future of urban and industrial society.  Much of the debate revolves around the pervasive use of the automobile. In particular, the effects on human well being which result from automobile dependent cities.   Automobiles are cited for causing a number of harmful effects including contributions to greenhouse gases, urban sprawl, and leisure time lost to the daily commute.  This later concern has a number of consequences.  Long commutes of perhaps one hour each way in an automobile mean less time for family, community and political engagement as well as lost time for exercise and other forms of leisure.  Even for individuals who travel shorter distances, the cost of maintaining an automobile uses a significant portion of a middle-class person’s disposable income.

 

This dissertation will examine cycling as a possible solution to the urban transport problem of how to move large numbers of people over the often short concentrated distances of the city.  The research question I have set for myself is, “Can the bicycle address some of the problems associated with auto dependency in modern cities?”.  Traditionally, public transit is cast as the alternative to private automobiles in the city.  This dissertation attempts to shine some light on cycling as a lower cost and often overlooked form of urban transport.

 

The case for cycling can be made on a number of grounds.  Cycling is relatively inexpensive, it emits little or no pollution, and it is quiet.  Cycling moves at a slower pace than cars and public transport travelling at high speed, but it can be the fastest mode of transport over short distances (Tolley and Turton 1995: 211).  Bikes are relatively cheap and easy to maintain and repair.  They are easy to store and require less room to park in the city centre.  Moreover, bikes are a source of exercise.  Even in situations where someone travels 30 or more minutes by bike to get to and from work, the commuting time is combined with moderate aerobic activity. 

 

In this paper, I propose to examine some of these advantages for cycling although my discussion in the first part of the dissertation focuses more on setting the stage for cycling by examining problems with current urban transport.  In particular, I will review some of the theories framing debate on the concept of sustainability.  I will also look at the pollution argument for cycling by examining some of the issues surrounding greenhouse gas emissions.  I will then examine the role that the automobile plays in contributing to pollutants such as carbon dioxide and many others, as well as considering some of the criticisms levelled against it as undermining public and private life. 

 

In the later two thirds of the paper, I begin examining cycling directly.  I will touch on some of the community and health benefits of cycling, and I will look in some detail at the historical role of cycling as a way of demonstrating that at one time it played a far greater role in urban transport than it does today.  More significantly, I will carry out a comparison of cycling at both the local and the national level by comparing cycling in the English City of York to cycling in the UK as a whole.  This comparison will be an effort to investigate whether cycling in its modern form is primarily a fringe activity or whether it is a broadly based and popular means of travel with further room for expansion.

 

 Two subtexts run through this dissertation.  The first is that there is a potential threat to human well being and our environment posed by our dependence on automobiles for so many of our travel journeys.  Generally, there appear to be three categories of response to the perceived threat to the environment posed by our industrialised modern life.  These responses can be categorised as the market response, the sustainable development response, and the deep ecology response.  In addition to defining these concepts, I will try to put these responses in context, first by examining them in greater detail and then by examining how well they hold up against real world data for energy consumption in the transportation sector and in greenhouse gas emissions.  The second subtext is that the current mix of urban public transportation options available is not the most optimal.  At times I may appear to be critical of public transportation; however, my intent is merely to place the spotlight on cycling.

 


2.0 Literature Review

 

2.1 Differing views about the nature of sustainability

 

The concept of sustainability is controversial since it is not clear what it is we wish to sustain.  There are a number of candidates: material wellbeing, economic growth, or the maintenance of the ecosystem.  In concepts such as sustainable development, a combination of all three goals is usually sought. Sustainable development is an intermediate environmental framework which, I will argue, does not trust the market alone to solve environmental problems, but rather suggests that by government intervention the goals of ecological sustainability and economic growth can be achieved.  Overlapping at one extreme with sustainable development advocates are those who trust the market to solve environmental problems and who would resist putting restrictions on growth for ecological goals.  Overlapping on the other side of the sustainable development spectrum is the deep ecology movement.  This group appears to be less concerned or enamoured with the state of modern industrial society and would see ecological sustainability as the primary goal over and above economic considerations.

 

A review of sustainability could be framed against a backdrop of water pollution, the loss of bio-diversity of plants or animals or the management of agriculture resources.  I propose to discuss sustainability in the context of the built environment with a particular emphasis on climate change (considered one of the central battlegrounds of the environmental debate ( Lomborg 2001: 258)) and transportation.  I will also briefly discuss personal transportation in light of the challenges to civil society and population health.  This detour is important for examining the argument that efforts to alter society in response to environmental concerns do not simply involve costs, but also convey benefits. 

 

The classic villain in this narrative is often said to be the automobile and the high output of greenhouse gasses associated with it as a means of travel. Increased public transport is often put forward as the solution.  I hope to demonstrate that cycling, of all modes of transport, has the best combination of permitting travel of up to 10 kilometres while producing few or no emissions of harmful greenhouse gases (presumably some emissions result from the production of bicycles in factories).

 

Commuting to and from work is only one contributor to overall greenhouse gas emissions.  National greenhouse gas reduction initiatives such as those planned in Canada (Government of Canada 2002) propose multi-sector approaches to the problem. They recommend reducing emissions by private automobiles, the trucking and airline industries, as well as in non-transportation sectors of the economy such as industrial and commercial activities, home heating, energy production as well as agricultural activities.

2.2 Deep Ecology, Sustainable Development and Market solutions.

 

Although I will use the deep ecology movement as a catchall phrase, the group is hardly uniform.  Within the category, I will include the Green movement as well as those who use the phrase eco-socialist.  All of these groups share in common a willingness to make deep cuts in current industrial activities in their efforts to ensure that  society functions in balance with the ecological systems of the planet.  My conception of deep ecology is therefore broader than the more common definition which is often associated with “New Age” philosophies (Sessions 1995:291) and therefore involves an overlap with some proponents of “sustainable development”.  I will have more to say about this overlap later.

 

Saral Sarkar, as an eco-socialist, explicitly calls for a reduction in the scale of economic production in Western developed countries, arguing that only a strong centralised socialist state could produce such a necessary effect.  The prescription he proposes is indeed a radical one.  “For conventional economists, the contraction process would be similar to an ever-worsening recession, and the low-level steady state a great crisis without end.  There can be no doubt that in such a situation the whole economy would have to be socialised, beginning with nationalisations.” (Sarkar 1999: 214).  Arguing that our current lifestyle cannot be sustained at the current rate of production, he suggests a future less dependent on oil and mass production and more dependent on human labour.  In effect, his program calls for sustained recessions as we shrink our economies down to a more sustainable level.

 

Sarkar is an economist and speaks in the language of GDP.  The deep ecology movement is also represented by a social and political theory.  An example of this is found in the writing of Arne Naess.  Naess tends to characterise the environmentally concerned community as being composed of deep ecologists and shallow ecologists (Naess 1995: 71).  Naess lumps the growth oriented proponents who trust in the market for solutions to environmental problems together with others who argue for a more interventionist sustainable development.  Discussing what he sees as the shallow ecology response to pollution Naess says, “Technology seeks to purify the air and water and to spread pollution more evenly.  Laws limit permissible pollution. Polluting industries are preferably exported to developing countries.”  He goes on to say that,  “The deep approach … calls for a high priority fight against the economic conditions and the technology responsible for producing the acid rain.”

 

Naess and Sarkar can perhaps be criticised for taking too narrow a view of the state of the ecological movement. They characterise the industrial society as requiring a radical change befitting the crisis that they see the world facing.  The sustainable development proponents would more likely see themselves as occupying a middle and moderate position, recognising the need for change which is consistent with modern industrialised society.  Moreover, the deep ecology and green movement is criticised often as being utopian and having a too uncritical view of the presumed benign behaviour of pre-industrial society.  Roy Allen (1986) attempts to demystify the ecologists program by providing examples of areas of potential conflict between proponents of a deep ecology platform and the actual behaviours of the aboriginal and pre-industrial groups on whom they model their visions of a sustainable balance between people and environment.

 

Perhaps more mainstream among individuals concerned with the environment are proponents of sustainable development.  One way to understand the sustainable development movement is to look at one of its key objectives – achieving the targets set out in the Kyoto agreement.  Kyoto is an international agreement whereby developed nations agree to limit their green house gas emissions to targeted amounts linked to 1990 levels[1].  Proponents argue that such moves are possible without damaging economic growth.  The Canadian government, with a target of reducing emissions to 96 percent of 1990 levels, claims, “By acting now Canadian companies and individuals can get ahead of the curve and create a sustainable competitive advantage.  The development of new products and services, in turn, will stimulate economic growth, expand exports and create jobs for Canadians.”  (Government of Canada 2002: 2).  In this example sustainability is defined as sustaining the advances of the industrial revolution, while development involves the ongoing creation of wealth at the same time as reducing the level of pollution from human activities. 

 

Agreement about the definition of sustainable development is not universal, however.  Sharachchandra Lélé points out that the development aspect of the sustainable development project need not be sustained growth of material consumption, but he does argue that proponents are hard pressed to define the concept without expressing it in terms related to continued economic growth.  (Lélé 1991: 609).

 

Bouts of enthusiasm by national governments such as Canada’s for sustainable development perhaps overplay the optimistic possibilities of a sustainable future.  Lélé is certainly more cautious. He suggests that development may need to be divorced from growth in GDP.  Throughout his paper he cites examples to suggest that development is more about increased social welfare rather than pure economic growth.  Lélé points out the difficulty of defining even such a term as social welfare (Lélé 1991: 609).   Given the divergent ideas about the nature of sustainable development it is clear that the term is an umbrella for a broad spectrum of views, that at the margins overlaps with deep ecology and market approaches to reductions in environmental harm.  I would argue that sustainable development is distinguished by a commitment to economic growth as it is currently defined in economic terms such as GDP, combined with an interventionist approach by government to meet sustainable ecological objectives.

 

Distinct, and critical of both the deep ecology and sustainable development arguments is the market approach to dealing with adverse industrial effects.  The market approach is characterised as seeing continued economic growth as the most likely means of solving environmental problems. Ultimately the argument appears to be that the threat to economic growth by costly efforts to regulate greenhouse gases is of far greater concern than the threat of greenhouse gas emissions to civilisation.  By allowing the economy to grow naturally, they suggest society is more likely in the future to be able to afford to deal with the ramifications of global warming than by spending money now on dubious solutions to a very real problem ( Lomborg 2001:322-323).

 

Spelling out their position on global warming and greenhouse gas emissions, the American oil company Exxon argues that although they are concerned about greenhouse gases, a clear picture about how to proceed does not exist (Exxon Mobile Corporation 2001).  They state, “Although there is no consensus about long-term climate trends and what causes them, it is clear that the weather is always changing.”  Further they oppose efforts such as the Kyoto agreement stating “Like many other companies, we do not believe Kyoto is the right approach.”  Exxon’s criticism includes concerns that the most rapid growth in the future will occur in developing countries which are not required to accept constraints on their growth or greenhouse gas emissions (Exxon Mobile Corporation 2001).   Opposition also comes from government leaders who suggest that the Kyoto agreement threatens economic growth with little environmental benefit (Klein 2003). 

 

It seems, therefore, that the Kyoto accord illustrates a dividing line which separates the various schools of thought concerning climate change.  The deep ecologists put forward arguments which suggest that they do not feel that it goes far enough and is therefore likely to be ineffective.  Industrial expansion proponents also feel that it will be ineffective but see it causing more harm than good, while sustainable development proponents argue for targeted goals.

 

The market approach to dealing with the problems of pollution appears to recommend a hands-off strategy.  Accordingly the issue in question is whether the goals of sustainable development and deep ecology advocates are attainable and which group more accurately advocates the most appropriate solutions.  By examining cycling as one activity championed by deep ecologists and sustainable development advocates I hope to provide some insight into the effectiveness of these two group’s recommended changes for alleviating social problems.  Western cities populated by masses of cyclists going about their business is no doubt a nightmare scenario for oil, and automobile producing provinces and companies, and likely dismissed as too optimistic and simplistic a solution by many less radical proponents of sustainable development.  As such, it seems an ideal testing ground for examining how to deal with some of the unfortunate side effects of industrialisation and modernity.

2.3 Greenhouse Gas Emissions

 

Some (Lomborg 2001:258) argue that global warming due to climate change, “has become the overriding environmental concern since the 1990s.”  Certainly, if world CO2 levels were too high in 1990 then the situation seems destined to get worse.  Figure 1 shows the growth of CO2 emissions[2] as a time series chart.  The figure compares Global CO2 levels for all countries where data is available to growth in CO2 emissions in wealthy Organisation for Economic Co-operation and Development (OECD) countries.  The data are drawn from the 2003 World Bank World Development Indicators (World Bank 2003).  There are a number of observations which can be drawn from this chart.  The first is that output of carbon dioxide has been tending to grow at a much slower rate in the Western developed world than in the whole world.  This suggests that, although the West has traditionally been the principal producer of greenhouse gases, the development process underway in the rest of the world is rapidly reducing its share of the total output.  The graph also demonstrates the threat posed from the developing world adopting a development path similar to that followed in the industrialised countries.

 

It is also apparent that a levelling, and even slight reductions, in human CO2 output levels have been occurring since the early and mid 1990s.  While this might seem like grounds for optimism, it should be remembered that during this period, massive re-orderings were taking place in the global economy.  In the early 1990s, the Soviet Union collapsed with the closure of many state run factories, and a decrease in economic activity.  Japan spent much of the 1990s in a state of recession and sluggish growth.  Latin America underwent a number of crises, and Africa struggled with the AIDS epidemic.  In North America and Europe, high tech and telecommunications became major industries.

 

Therefore, while the levelling of CO2 emissions may suggest room for optimism, I would argue instead that we have merely reached a temporary plateau.  While growth of CO2 may continue to slow in the West in response to our relatively stable built environments, the restructuring in the developed world suggests that CO2 emissions are only temporarily halted.  Many countries are restructuring inefficient economies at present, with the prospect of returning to market based growth, with higher wages and greater individual wealth and consumption.  It is at this point that CO2 output levels threaten to rise dramatically.  If the same patterns of automobile and highway usage, and the same patterns of the built environment are adopted by rising numbers of middle-class consumers in the developing world as was done in the OECD, then CO2 levels will surely rise further.

 

Figure 1

 

Figure 2 examines the CO2 emissions that would be necessary if there were a concerted effort to maintain total world CO2 emissions within the levels established as part of the Kyoto agreement but on an equalised and global basis.  This agreement seeks to establish CO2 emissions among Western developed nations at often reduced levels relative to their 1990 levels while allowing the developing nations to expand into the created emission space (United Nations 1992). World emission levels at or below the 1990 amounts are recommended as being necessary for stabilising CO2 levels (Houghton et. al. 1997: 151). Therefore, in the table I have used the 1990 world level (approximately 16 billion tonnes) as a hypothetical levelling point for total world emissions.  However, it should be understood that CO2 levels were a concern long before 1990, and their effects were being felt for much lower levels.  This would suggest that should a stable level of allowable CO2 emissions be articulated, it is likely to be less rather than more than the 1990 level.

 

As the chart shows, for a world population of 6 billion people, the average CO2 emissions should be 2.73 tonnes per capita.  This is a startling amount.  Figure 3 shows Organisation for Economic Co-operation and Development (OECD) countries’ per capita emission levels.  Note that in 1999 the United States emitted nearly twenty tonnes per capita.  In fact every OECD country emits more CO2 gas than might be allotted to them if CO2 emissions were distributed on an equal basis. It is therefore difficult to envision a single developed country which we could visit in order to observe the type of structure needed to live within the constraints recommended for slowing greenhouse gases.  Even Sweden emits more than twice the amount of greenhouse gas that is recommended despite its best efforts to produce a sustainable society.   Considering the projected growth of world population to levels of perhaps 8 billion or more, this suggests that significant changes will need to be made to the energy consumption of society if we wish to reverse the possible consequences of CO2 emissions.  If European countries with well developed transit systems are unable to meet the necessary CO2 emission targets, then more drastic structural changes to our transport systems may be necessary.

 

Figure 2

 

Figure 3

 

In fairness to the automobile industry, all the blame for CO2 emissions cannot be laid on the use of cars for transport.  Comparing Figures 3 and 4 (in section 2.4) provides some balance to this picture by showing that there is wide variation in automobile ownership despite the fact that all listed countries emit carbon dioxide at levels above the sustainable level.  A simple correlation of these two variables suggests an R squared value of .283 significant at the .007 level.  Clearly there is a small but significant relationship between the level of automobile ownership and carbon dioxide levels.  Efforts to reduce carbon emissions cannot rest on changes to transportation alone since it has been estimated to contribute only 25% of emissions (Pickering and Owen 1994:80), but will also require alternatives to coal fired power plants and poorly insulated houses and buildings.  However, the significant role that transport does play in reaching pollution targets, certainly justifies a greater focus on ways to reduce the harmful side effects associated with it.

 

 


2.4 Urban Life, Industrialisation and the Car

 

 

Having examined carbon dioxide levels, it is important to sharpen the focus on transportation.  While only one contributor to green house gases, the choice of transportation mode seems to demonstrate the contrast between the differences of deep ecologists, sustainable development advocates and those who believe that the market will deal with environmental problems naturally.  Moreover, it is the sustainable development and deep ecology advocates who must demonstrate that the market approach is producing unsustainable urban structures, since for the most part, it is the market which has been responsible (at least in the OECD) for our current transportation systems.

 

Economic development and urban life seem to be strongly linked.  Carlo Cipolla in his classic text - The Economic History of World Population demonstrates that industrialisation in a country tends to be associated with urbanisation (Cipolla 1962).  Britain, which urbanised before the automobile was invented, developed extensive rail lines while the cities of the United States matured at the same time as the automobile and built cities around the new technology.  As Figure 4 demonstrates, citizens of the industrialised countries appear to have exercised their right to consume transport, and by and large, they have chosen automobiles.

 

 The danger is that the same pattern will occur during the industrialisation of the high population developing countries.  It is possible that new models will be found for economic development without mass migrations to cities; however, such a change in the nature of what it means to be a developed country would break with the past patterns.  Some encouragement may be found in the development of rail and public transit in Europe during the same time period as automobiles were being relied on in the United States.  Europeans plotted a different course.  However, Figures 3 and 4 demonstrates that even the relatively recently industrialised country of Korea is in the middle of the pack of carbon dioxide emissions.  Clearly Korea’s story does not bode well for hopes that newly industrialising countries will avoid Western pollution patterns.

 

Figure 4

 

 

It is possible that the changing nature of technology will have some impact in reducing the amount of carbon dioxide emissions.  The rise of the Internet allows for changes in the way that we work and interact.  Broadband connections promise to give access to unprecedented information while allowing individuals to remain in their own community, travelling only as far as their local school or library or even living room while accessing a plethora of government, educational and vocational information (Timms, S. 2003).  Balanced against these developments is the fact that many of these technologies require significant capital investment to install.  It seems likely that more citizens of developed nations will reap the benefits of these new expensive technologies than citizens of developing nations who may yet inherit the industrial patterns so common in the pre-internet West.  Ultimately, the evidence does not look hopeful that left to their own devices, consumers will make sustainable choices in their transportation choices without some form of collective action agreed to at the political level.

 

2.5 The Automobile - Public Transportation Mix

 

There are a number of factors which affect the predominant choice of transportation mode in a country.  Peter Newman and Jeffrey Kenworthy in their book entitled Sustainability and Cities compare American, Australian, Canadian, European and Asian cities in their dependence on automobiles.  In general the authors report that geography appears to plays a key role in determining car ownership.  Figure 5, which is adapted from their book (Newman and Kenworthy 1999: 80), shows car ownership and public transit usage in various regions.

 

Figure 5

Both measures of transport usage show passenger kilometres per person, and indicate an inverse relationship between car usage and transit usage.  One encouraging sign from this chart is the low levels of automobile dependence in Asia compared with all other regions of the world.  The Asian results include data from both wealthy cities such as Tokyo and Singapore as well as cities in developing countries including Seoul and Bangkok.  Figure 5 gives some room for optimism that the high density developing countries of the world will tend to place a much higher emphasis on transit and as a result not consume North American levels of gasoline. 

 

The public transport advantage is more visibly suggested in comparing the energy consumption for private and public transit of highly developed cities.  Los Angeles is often seen as a particularly problematic city from an urban development perspective.  Kenworthy and Noble (1999; 70-71.) provide a table which allows us to compare Los Angeles’ energy use per capita in both private and public transportation to a number of its international peers.  Figure 6 shows the usage of gasoline, diesel and electrical power (measured in Mega Joules per capita) for both types of transport.

 

Figure 6

 

Clearly all of these cities differ in terms of their population, and the results would be carry much more weight if we knew the numbers of people travelling by various modes in each group for each city. However, that factor is partially controlled by the use of per capita numbers.  Each city is a large metropolis with a public transit system, yet there is a large difference between the energy consumed in each city.  Los Angeles consumes nearly seven times the per capita energy from gasoline that Tokyo does, this despite the fact that both are wealthy cities in countries considered to be among the most technologically advanced in the world.

 

The second interesting point evident in this figure is the comparisons between energy consumption in private automobiles and that in public transportation.  Even in public transport reliant cities like Paris and Tokyo, the energy required to run their systems of trains and buses is a fraction of that used to power their automobiles.  The comparison is particularly telling in a comparison between these two cities and Los Angeles.  Tokyo’s public transit system transports its citizens using sixty-one times less energy than Los Angles’ private transport.  Clearly, there are vast savings in energy consumption to be had in increased use of public transport.  Moreover, to the extent that developing nations follow Tokyo’s model instead of Los Angeles’ there is considerable room to accommodate their development towards a more sustainable form of urbanism.

 

Although Figures 5 and 6 suggest vast energy savings obtainable from greater use of public transport, the reader should not forget the discussion about greenhouse gases earlier in this paper and the fact that no developed country currently appears to have a sustainable level of carbon dioxide emissions.  Despite the benefits of public transit, the discussion so far suggests that even greater economies in fuel consumption are needed.

 

Intuitively we recognise that many urban trips are of relatively short distance.  While automobiles are ideal for transporting individuals to remote locations, public transit is more suited for inter-city and intra-urban travel.  However, as we have just seen, even public transit consumes some energy, which suggests greater room for cycling to reduce energy needs in the city even further.

2.6 Additional Criticisms of automobile Dependency

 

The built urban environment has long been a battleground for proponents and opponents of a car culture, quite independent of the polluting nature of cars.  Automobile based cities are criticised for limiting personal interactions, and imposing a garish and impersonal structure on the face of the city (Gehl 1996:72,73).  Moreover, there appear to be an idealised form in our minds of community as rural or as an urban village, in which we feel linked to neighbours and to services accessible by foot (Rudlin and Falk 1999:106,107) as opposed to suburban forms dependent on automobiles. 

 

For critics, automobiles appear to have wrecked the face of the city.  While public transportation has advantages over automobile focused cities many of these advantages seem amplified for a cycling based city.  The choice of automobiles over cycling is argued to have a detrimental effect on human health (British Medical Assocition 1992: 10-28).  Not only do cyclists not produce pollution, but they obtain valuable exercise in the course of their travel.  Cycling is also credited as providing economic advantages to individuals who no longer have to maintain an automobile (European Commission  2000: 15).  Moreover, the vast suburban landscape made possible by automobiles has been linked with a decline in civic engagement with cities of over one million and their surrounding suburbs experiencing a marked decrease in involvement in local political activities compared to their smaller counterparts (Putman 2000:206)[3]. 

 

Putman considers both mobility and sprawl as partial explanations for the decline in civic engagement.  He quickly rules out mobility as the cause for the decrease by pointing out that mobility has not increased in fifty years.  Rather, he points to the low density suburbs and the car saying, “far from seeking small-town connectedness, suburbanites kept to themselves, asking little of their neighbours, and expecting little in return.” (210), and “it is difficult to overstate the symbiosis between the automobile and the suburb” (212). 

 

For Putman, part of the story of civic disengagement is the time costs of travelling the distances involved in a low density lifestyle, as well as the isolating effect travel by car has on interactions between fellow city residents.  “The car and commute, however, are demonstrably bad for community life.  In round numbers, the evidence suggest that each additional ten minutes in daily commuting time cuts involvement in community affairs by 10 percent …” (213).  He sums up the isolation of the car, “one inevitable consequence of how we have come to organize our lives spatially is that we spend measurably more of every day shuttling alone in metal boxes among the vertices of our private triangles.” (202).

 

It seems clear that it is not so much the car which fragments our society, but the urban form demanded by the car. Putman clearly indicates that smaller urban centres have greater civic engagement.  However, small cities and towns in the US are not dominated by public transport, but rather are also dependent on autos.  What makes them different no doubt is the shorter distances involved in travel.  It would seem that if we wish to increase the benefits of civic engagement of these smaller centres, we should evolve the structure of the city to replicate village and town life by reducing travel times to work and services.  At the same time reducing the dependence on auto travel for making short trips in favour of public transport, walking and cycling might serve to increase a sense of community within the cities and suburbs so many people seem to choose to make their homes.  Perhaps the model for such efforts can be seen in Stockholm, the capital of Sweden.  Throughout the 20th century the government has been deliberately trying to plan the city away from private automobiles and towards public transit as population boomed (Sidenbladh, 1968).

 

Such arguments at times seem like isolated calls from the wilderness when compared to the actual economic and market forces shaping modern urban life.  Nowhere is the argument for automobile centred cities more forcefully made than in urban geographies such as greater Los Angeles.  “Fifteen million strong and one of the world’s largest economies (twelfth if it were a country, above Mexico but below Spain), Greater Los Angeles includes an almost unique diversity of talents, problems and opportunities.”  So begins one defence of the sprawling metropolis form of city (Gordon and Richardson 1999: 575).

 

Gordon and Richardson in their essay set out to rebut a characterisation of cities such as Los Angles as the epitome of the evils of the modern urban form.  Two particularly relevant points are made.  In their defence of the automobile as the dominant means of transportation in such cities, the authors suggest that in fact the automobile has evolved out of consumer choice.  Contrary to E. Soja who argues that there is a “… huge population stranded up to sixty miles from their place of employment.”  the authors point out that according to national statistics many individuals in outlying suburbs actually have one-way commutes of less then 45 minutes (575).  Moreover, they argue against the notion that public transit was dealt a death-blow by auto companies[4].  The authors argue that rather than conspiracies to destroy public transit in the city, the investigator need look no further than the consumer.  Citing rider-ship numbers for public transit and the overwhelming choice to use autos as the means of transport, the argument is that the consumer has chosen and automobiles are the winners. 

 

This argument appears to be supported by Glenn Yago.  He summarises the historical development of American transportation by suggesting that the victory of the car was due to a complex set of circumstances.  These included rising labour costs among transit workers, corruption in transit companies, rising incomes among workers and gains in productivity and available capital in all sectors of the auto industry (Yago 1983: 178,179).  Perhaps this set of factors partially explains why trams continue to be popular in Europe but not the United States.

 

In his paper, Yago is certainly not an apologist for the automobile, but rather sees the choice of transportation mode as an area requiring far greater study.  He points out gender and wealth factors prove important for the types of transport that are available economically to urban residents.  He also argues that historical and political analysis is necessary to understand why certain transportation modes such as tram lines or cross city rail lines are available in one centre and not in another.  As a consequence Yago argues that a city’s transportation network is not completely predetermined by the size of the city or its history of development, as I have suggested in the previous section on the links between urbanisation and industrialisation.

 

Stockholm and Los Angeles seem to stand as examples of opposite sides of a debate in urban form.  Both are wealthy urban metropolises which reacted differently to a modern economic and population boom.  Their differences in responding to the influx of new residents are strong evidence for Yago’s thesis that the pressures of urbanisation and population explosion can be channelled away from automobiles.  Furthermore, they demonstrate the complexities of the factors which shape city development.  What is uncertain is whether building extensive public transport as Stockholm has done will be sufficient to channel the economic growth occurring in the developing world into non-polluting forms of urban life.

2.7 The Bicycle as Transport

 

Up to this point, I have discussed transport primarily by car and public transit and made little mention of cycling.  I have briefly discussed some of the societal health benefits to be gained from cycling, but not its possibilities as a mature transportation mode. Given the inability of any OECD countries to operate to date at a level considered sustainable at global levels, cycling appears to be a transport technology which is far under-utilised in urban life. 

 

One objection to cycling as transport is that some countries in Europe have currently well established cycling traditions (European Commission  2000), and still produce far too many carbon emission.  Denmark and the Netherlands, despite their high usage of cycling, contribute far higher levels of CO2 than is desirable.  Clearly, however, cycling is not the culprit since bikes contribute no emissions.   More likely it is the manner in which power is generated in those countries to provide power for homes, industry and public transport.  A country such as Denmark with its high cycling levels and plans to generate much more of its electricity from non-carbon sources may become a pioneer for the future of urban sustainable living.

 

While the next two sections of this paper specifically focus on a quantitative examination of cycling as a commuting mode, it is helpful to look the state of cycling in the period prior to the growth of the automobile.  Cycling had a brief glory period prior to the development of the automobile which demonstrated its ability to serve as a pillar in the urban transport system of cities.  Sidney Aronson (1952) summarises the state of cycling at the turn of the last century.  He notes first that cycling had a significant impact on women’s role in society.  Cycling opened up the way for women to wear more comfortable clothing, including trousers.  More significantly, cycling ushered their way into a wider communication outside of the home.  Informal conversations between single and married women and the men who would sometimes help fix flat tyres when their paths crossed on the road led to a new informality of contact between the sexes.  Aronson cites several sources suggesting that the suffrage movement was indebted to women’s adoption of cycling.

 

 Equally significant is the effect that cycling had on the economy.  Aronson estimates that over 17,000 people were involved in the manufacturing alone of bicycles, thousands more participated in repair, retailing and other affiliated industries.  In total, he estimates that 10 million of the United State’s 76 million strong population participated in cycling at the turn of the century.

 

Aronson, using an American football metaphor, argues that cycling’s key revolutionary impact lay in what he termed running, “interference … for the automobile.” (310).  Many early automobiles were manufactured and repaired in bike shops, and even the efficient manufacture techniques developed to mass produce bikes further enhanced the production of cars.  Moreover, it was cyclists and their national organisations which lobbied for and began the development of early road systems in the US together with proper lighting and signage.  In short, the image of the bicycle industry appears to be that of an incubator of the coming automobile age.

 

Ultimately, it is beyond argument that the automobile provides far greater mobility than a bicycle ever could.  A combination of modern cars and the highway system has permitted the spread of the modern metropolis over vast tracks of land; however, it should not be overlooked, that the bicycle was a form of transit which supported early urban mobility.  Aronson notes that it opened up the countryside and urban travel to the middle class and that it allowed people to travel distances of 25 to 50 miles in a single day.  Cycling opened up new vacation possibilities as families set out on road trips together, and permitted early suburban development for less well to do families which permitted them to move from urban tenements.

 

2.8 Prior Work on Cycling in the United Kingdom

 

So far, I have attempted to frame the question of whether an expanded role is possible for cycling by looking at issues which either suggest that the current transportation system is not sustainable, or more positively, by looking at problems which increased levels of cycling may solve.  Much of the rest of my paper will involve a quantitative investigation of cycling by looking at census data.  In doing this, I am building on work that has been done before but in a limited way.

 

In order to understand the potential of cycling as an increased mode of transport, it is essential to understand the underlying demographics of cyclists.   Some work has been carried out by the UK  Department of Transport (The Department of Transport 1996).  Their publication provides a brief overview of the state of cycling in the United Kingdom, using the 1991 UK Census as well as various transportation surveys.  The report provides some excellent basic statistics which permits the reader to identify cities and regions where cycling is more popular.  The report also indicates trends in the growth of cycling to work (from 696 thousand in 1991 to 823 thousand in 1995).  Finally, the report identifies useful UK data sets with cycling information.  While the report serves as a useful first step for someone who wants to understand cycling in the UK, it does not go into great depth in terms of allowing policy makers to understand better who cyclists are.  By focusing on one data set and one city as well as the whole country, I hope to seek a more detailed picture of the urban cyclist than is provided in that useful report.

 

2.9 Conclusion

 

So far I have reviewed a wide range of literature which at times seems disparate.  I have focused on issues such as CO2 levels, civil society and the diminution of urban civic engagement.  I have also examined some of the health benefits of cycling and looked briefly at historical evidence that suggests that cycling has been a more widely used form of transportation which once played a vital role in the life of turn of the century America.  The common theme of this review is that cycling is a technology which seems greatly under-utilised in contemporary life. Barring the development of a full-scale hydrogen economy to power fuel cell cars, cycling may be the necessary technology able to supplement public transit in supporting urban living at reasonable levels of CO2 emissions.

 

In the next two sections of this report, I propose to examine cycling in action.  Using the city of York and the UK as a whole, I will examine the characteristics of actual cyclists.  Having shown the benefits of cycling in the literature review, it is now necessary to demonstrate that cycling is a robust modern commuting mode used for transport by individuals entirely in the mainstream of contemporary society.


 

3.0 Methodology for Studying Cycling – York and the UK

3.1 Introduction

 

Social science uses a number of different strategies for investigating phenomena.  Generally these can be classified as either a quantitative or a qualitative approach.  Quantitative research generally works with data-sets and carries out statistical analysis, while the qualitative approach generally involves unstructured interviews, focus groups, and/or ethnographic approaches.  Quantitative approaches are often associated with deductive strategies designed to test theories while qualitative approaches focus more on inductive theory generation (Bryman 2001: 20).  Since my research is intended to test the hypothesis that cycling can play a much greater role in urban transportation, a quantitative approach seemed, at this stage, the best methodology to employ.

 

Having, in the first two sections, built a theoretical case for cycling as a sustainable transportation mode, the next step appears to be to examine cyclists using empirical data.  In particular, it is important to find out whether cyclists differ significantly from the general population, and whether those differences are such that cycling could only ever serve as a fringe transportation mode.  In order to determine this, it seemed best to work with secondary data sets for reasons of cost and avoidance of data collection problems (Kiecolt and Nathan 1985:11).  Specifically, the use of UK individual census data gives me access to high quality data that allows me to be reasonably confident that the characteristics I observe for cyclists are as representative of the cycling community as I can make them. 

3.2 Overview of data to be employed and why.

 

The UK census is a convenient data set to use in this instance because it asks questions about the transportation choices of respondents with respect to their journeys to work. In order to examine cyclists, I make use of chi-square techniques to analyse the 2 percent Sample of Anonymised Records (SARs) for the 1991 UK census (Census Microdata Unit).  The analysis is intended to investigate variables associated with the choice of cycling as a transport mode.  In order to do this, I have looked for relationships with the variables which might be associated with transportation choice. 

 

The 2% sample is exceptionally useful because of its great size.  It contains over one million records, and in particular over 14,000 records for bicycle commuters.  There are, however, weaknesses in the dataset when studying cyclists.  Most students are excluded, since they would answer questions about travel to work as being non-applicable unless they worked part-time as well as studying.  Other potentially excluded groups are the unemployed, the retired, stay-at-home parents and other individuals outside the workforce.  Finally, individuals who work at home are also excluded since they are treated as a separate commuting class (presumably their commuting tool is a pair of slippers on the way to the home office!)  All of these exclusions to some extent limit the ability to study cycling as transport, since it is possible that some excluded groups use their bicycles for daily tasks.  While work is a major destination for travel, shopping, entertainment, and family responsibilities are also potential trip generators for the bicycle.

 

Despite this limitation, the journey to work is interesting to study, because of its importance.  Travel to work is not an optional choice for most people, and it is a significant place for citizens to engage with the economy.  While focusing on the journey to work excludes some cyclists and underestimates the use of cycling as transport, it also demonstrates cycling’s role as serious transport.

 

3.3 Key Variables

 

The following are the variables I used in my analysis.

 

Dependent Variable[5]:

Tranwork – Mode of Transport to work. This is a categorical variable indicating the means used to travel to work and including various forms of public and private vehicles as well as cycling and walking.

Independent Variables:

For my analysis, I examined the choice of cycling as a mode of travel to work over against a number of socio-demographic variables including age, gender and ethnicity.  I also looked at the distance a person travels to work as a means of determining whether the mode of travel they have chosen could be substituted for an alternative.  I also attempted to examine social class and economic well being by looking at the data available for social class in the census as well as tenure of household.

 

Most of the variables I looked at are relatively self-explanatory with the possible exception of social class.  Social class is a variable used in the census which has been defined by the Office of Population, Censuses and Surveys for the United Kingdom’s Registrar General.  Peter Clavert summarises this system of identifying social class in his book, The Concept of Class:An historical introduction (Clavert 1982:173,174).  The five primary class are defined as:

 

Social Class 1: Composed of professional occupations like doctors, lawyers and other professionals.

 

Social Class 2: Composed of intermediate occupations such as managerial work, artists and journalists.

 

Social Class 3N: composed of non-manual skilled occupations including police officers, shop assistants and sales representatives.

 

Social Class 3M: Composed of the skilled manual workers including bus drivers, cooks and printers.

 

Social Class 4: Composed of partly skilled workers.

 

Social Class 5: Unskilled workers.

 

Clavert (174) is somewhat critical of this division of workers into arbitrary classes.  Certainly, he does not tend to look at the classification as being a hierarchy since he recognises that it is possible that an unskilled worker might in fact earn far more than workers in higher classes.

 

Partly in anticipation of this difficulty, I have included a second variable of tenure of housing.  Given the potential of a plumber categorised as a skilled manual worker in social class 3M to earn significantly more than individuals in even the professional classes, the tenure variable seems best able to capture some of the nuance involved.  Paul Balchin (1995: 1) identifies the success of post-war Labour and Conservative governments to develop policies which appealed to the electorate’s desire for access to adequate housing as being key to their electoral success.  Home ownership seems to provide a great deal of status and stability in the United Kingdom.  By looking at the tenure of housing of cyclists, I hope to make some comment on whether cyclists are building financial resources or are a more marginalised group.

 

The benefit of using the variables I have chosen is that they are well established in social science literature.  As such, they serve as a useful starting point for examining the phenomena of cycling .  Although variables such as gender and social class cannot be considered to be independent (Walby, 1986), the purpose of this paper is merely to explore the data and determine the suitability of cycling as a full-fledged transportation option. The usefulness of studying transportation in light of the types of variables I have selected was demonstrated by Swedish researchers Carlsson-Kanyama, Lindén. and Thelander.  They examined the distance travelled by various Swedes by gender and found a large difference between men and women as well as among different ages and social classes.  Their study suggested that the basic socio-economic variables are a useful starting point in investigating individual differences in greenhouse gas emissions.

3.4 Chi-square Analysis

 

Often when a researcher is faced with a large number of variables, some means of data reduction is needed to reduce them to a more manageable group.  This is justified by the notion that a number of variables may be highly associated with each other, particularly in the case of census data where information about type of housing might be related to the type of job a person holds. 

 

Traditionally, one uses factor analysis (Hutcheson and Sofroniou 1999:217) to reduce the variables to a smaller number or to create a set of independent factors.  The factors can then be used in regression analysis to attempt to predict an independent variable, in this case cycling as a transportation choice.

 

This sort of analysis is not in fact possible with many of the census variables used in my dissertation because I was working with categorical data.  Factor Analysis requires ratio or interval data in which, “the distances between the categories are identical across the range of categories”( Bryman 2001: 219)  While this rule is sometimes bent, it is complicated to do so with categorical census data.  This is particularly obvious for the dependent variable of transportation choice – one is either a cyclist or an auto-driver or a motor cyclist.  Although the dependent variable can be reduced to that of cyclists versus non-cyclists, and thus open up logistic regression as a possibility, the independent variables used here are themselves categorical and therefore make logistic regression overly complicated.  If I were working with ordinal or ratio data, the logical approach might have been to do a factor analysis with a number of the census variables to obtain a set of factors.  Those factors could then be used in a regression in order to create a model which predicted the choice of cycling from a set of related variables.  I have opted for a simpler examination of the dataset, by looking for bivariate relationships with my selected key socio-demographic variables.  Given that there is a lot of data investigation involved in my research, the simpler approach seems like the best use of time at this stage.

 

Using categorical data forces an alternative method for looking for relationships between the variables.  Cross tabulation using chi-square statistics can be quite useful in identifying variables which appear to be associated with the dependent variable.  By using Chi-square analysis, it is possible to peer past the absolute number of people engaging in an activity and examine instead proportions and thereby begin to look at causality (Hellevik 1984)

 

In my study, the use of chi-square analysis of cross-tabulated data is particularly important as a way of examining populations of different sizes.  This is most obvious in my examination of cycling by gender.  Since more men work outside the home than women, reporting the absolute number of cyclists by gender might suggest that men are more likely to be cyclists.  Chi-square analysis examines the expected level of cycling in a given population (here men and women) given the prevalence of cycling and compares it to the actual number of cyclists to see if the proportion differs significantly from the expected level for the general population.  A numerical example may make this more clear.

 

If 1 percent of workers are cyclists and 1000 men work outside the home while only 500 women do, but 80 male workers are cyclists and only 70 women cycle to work, then it might seem that men are more likely to be cyclists than women.  By looking at the expected level of cycling, however, chi-square analysis would suggest that the expected number of cyclists should be 100 men and 50 women.  The analysis, then suggests that women are in fact more likely to cycle to work then men despite the absolute numbers.

 

The use of chi-square analysis to look for bivariate relationships is certainly not a complex statistical methodology, but it does have the benefit of keeping this analysis relatively simple.  Analysis of interactions with gender, ethnicity, age and other basic socio-demographics is a well established process, and a natural starting ground for mapping out the territory for future more detailed investigations into the possibilities for expansion of cycling as a transportation option. 

 

3.5 Understanding Cycling at Local and National Levels

 

My analysis was conducted at two levels.  Because there are more than a million records, doing initial data sorting seemed best done with a smaller data set and I chose to investigate York data.  Appendix A discusses some of the alternative options I considered for my analysis.  The city of York has a high percentage of cyclist relative to its population and yet only about a thousand records in its data file.  Multiple cross tabulations were possible with this data without tying up heavy processor time.  Also, using York data allowed me to compare cycling at two scales, urban, and nation wide. As Figure 7 shows, York is an excellent place for studying cycling because of its diversity of travel modes.  In particular, cycling is well represented, but so to are other modes.

Figure 7

 

Comparison of York data with that of the UK is beneficial as a means of examining the potential outcome for changes in policy which would allow the United Kingdom to replicate the success of cycling in York.  By studying York as a microcosm of the United Kingdom, policy makers can consider possible benefits of increases in cycling by replicating the types of policies which have made York attractive to urban cyclists.  Approximately 13 percent of York commuters cycle to work, suggesting that 13  percent might serve as an upper bound on how much of the United Kingdom’s population might be inclined to cycle given similar policies enacted elsewhere which resemble those in York. 

 

Likely there are unique geographic variables which encourage cycling in York which do not exist elsewhere.  York is a relatively flat and prosperous city which is compact and has a medium sized population.  Replicating the infrastructure of York in a hilly city with cold wet winters would likely not lead to the same levels of cycling.  However, this argument can only be taken so far.  The United Kingdom as a whole tends to have a temperate climate and, while hilly, is certainly not mountainous. UK cities (and particularly London) likely have more in common with York than would chilly Stockholm or mountainous San Francisco.  Moreover, if a cycling culture were instilled in urban residents from a young age, presumably they would have plenty of time to develop the type of fitness required to cycle on hills with the aid of multi-geared modern bikes.

 

Finally, it is instructive to look at the possibility of increased cycling in the United Kingdom through the lens of York because of York’s relatively mixed economy.  It possesses a relatively new university that is more typical of UK universities cities than say Oxford or Cambridge.  Also it possesses a strong tourist trade, religious institutions, as well as being a regional centre with markets and retail shopping for local residents.  While there is no such thing as a typical city, York may serve quite well as one which is sufficiently diverse socially and economically to model the opportunities of a cycle friendly city.

 

3.6 Working with Sample Data

 

In the analysis which follows, I will work with UK sample data for both York and the United Kingdom.  My reported statistics will use the sample data as it was presented in the census data file I was provided.  The sample data for York contains 204 cyclists, while the sample for the UK as a whole contains 14, 252 cyclists.  Appendix B discusses some of the issues involved in extrapolating the sample data to full populations.  Intuitively, you would just multiply each number by 50 in order to transform the 2 percent sample numbers into population numbers, thereby suggesting that York has 10,200 cyclists and the United Kingdom has 712,600 cyclists.  There complications in doing this which I deal with in the appendix.  For simplicity purposes, I felt that it was more appropriate to leave the numbers as they were.

 

A second issue in dealing with sample data was variation in responses.  While there may have been 204 cyclists in York, transformations I made in creating my revised variables sometimes reduced the number of cyclists because of the way that they were coded.  For example, when I created my social class variables, I simplified the categories down to the five main social classes that account for the bulk of all records.  I chose to exclude members of the armed services and as a result reduced the number of cyclists from 204 to 202.  I provide more discussion about this issue in appendix C.


4.0 Results

4.1 Introduction

 

So far we have seen that there appears to be a problem with urban transportation.  We have seen that the transportation system we have now plays a significant part in contributing to greenhouse gases. I subsequently reviewed some aspects of the urban transportation system, and the results seem to suggest that private automobiles are a pervasive part of modern urban transportation, and that they are very resource heavy in terms of energy consumption.  Furthermore, I have pointed out that in addition to contributions to greenhouse gases, automobiles are associated with other modern ills such as the disengagement many observers feel is occurring between citizens and their communities. 

 

In response to this review, I have examined cycling and found that a possible case exists for suggesting that cycling could play a more important role in alleviating some of the strain current transport patterns place on the social and natural environment.  Historically, I have demonstrated that cycling has played a much larger role in urban transportation in the past.  I have also pointed out some of the benefits that come from cycling, and cited data which suggests that for trips of under 4 kilometres cycling is perhaps the fastest travel mode.  What remains to be done, is to determine whether cycling is a broadly based mode of transportation, or is a niche activity limited to a narrow spectrum of the population.

 

4.2 Gender

 

Initial examination of the association of gender with cycling for the York data suggested that there was not a very strong gender effect.  Figure 8 shows the expected number of cyclists given that approximately 12 percent of all commuters are cyclists as well as the actual numbers observed for both genders.  Remember that the expected number of cyclists is taken from the number of cyclists in the general population of York or the United Kingdom depending on the unit which is being analysed.  For all the charts that follow, the expected number of cyclists is around 12 percent (with some slight variation as is explained in appendix C.  For the charts comparing cycling by gender, I have included percentages as well as the absolute numbers of cyclists to make the chi-square results more explicit.  For the remaining tables, I only show the expected number of cyclists to those observed.

 

Figure 8 suggests that once the different sizes of the populations are controlled for, the expected number of cyclists for both men and women is nearly identical with the observed amount.  Accordingly, the Pearson chi square score does not begin to approach significance.  The size of the sample and the small variation of deviation from expected scores suggest that this is an extremely robust result.  It would appear that there is no gender difference in York for the use of bicycles for travel to work. 

 

Figure 8

 

The story is quite different in examining the data for the UK as a whole.  Figure 9 shows a pronounced difference in the likelihood of cycling for men versus for women.

Nearly 8000 sampled men were expected to choose cycling in the sample data compared with 6258 expected among women.  Again, this number is based on the population percentage of cyclists in the United Kingdom which is about 3 percent.  As the example shows, however, chi-square analysis suggests that men are more likely to cycle to work than women at the national level are.


Figure 9

 

4.3 Age

 

Initially, one would expect a significant interaction between age and the decision to cycle to work.  If bicycle commuting were primarily a function of financial constraints, or if it were principally an activity of vigorous and healthy individuals who incorporated it as part of a sports based lifestyle then cycling should be more prevalent among the young.  In addition, young people are most likely to have limited financial resources at the start of their working lives since it is at that period that they are establishing themselves in new careers, paying off student loans and making furniture and working wardrobe purchases. All of these expenses occur while they are starting out at the bottom pay grades of their employers.  Additionally, one would expect that it is at this initial stage of their career when status concerns about driving a car, safety concerns about having easy transport for infants, or the need for transportation between suburban housing and inner city office jobs are less important.

 

Among older workers, in addition to having more time to accumulate resources for automobiles and housing, there are the additional issues surrounding age and wear and tear on the body.  The expectation should be that cycling steadily drops off as a commuting option as age increases.

 

The following table presents bicycle commuting in York for different ages.  Contrary to expectations, there appears to be no real interaction between age and the choice of cycling as a commute mode.  The chi-square analysis of the cross tabulation shows a complete absence of significance.  Although the numbers of cyclists appear to be higher than expected for workers under 35 and over 44, it is impossible to rule out that this is a random effect of the drawn sample.

 

Figure 10

 

 

While the slight age interaction for the York data may be due to random sample effects, the pattern is to some extent continued at the national level in Figure 11 but with a significant chi-square value.  Similar to the information for York, cyclists appear to be more likely at the extremes of the working age distribution.  Both the young workers aged 15 to 24 and the older workers aged 55 to 65 are slightly more likely to cycle than workers in the middle years.  Perhaps the results for older workers can be in part explained by the interpretation that less financially secure workers are those most likely to work until their pension begins at 65, while the more financially stable workers have retired by this point and therefore moved out of the studied population.  However, the age interaction for all ages is quite small.  Certainly there are no strong trends, but rather a slight indication that the oldest and youngest workers are more likely than expected to cycle.

 

Figure 11

 

Age was one variable in which a logistic regression could have been conducted instead of relying on a more simple chi-square.  In fact I did carry out a logistic regression and failed to find a significant result.  Therefore for reasons of consistency, I chose to report the chi-square results.

4.4 Ethnicity

 

It is difficult to assess whether an interaction exists with ethnicity and cycling due to small sample sizes.  The York sample includes only 13 records for individuals who are coded as being non-white, rendering any analysis meaningless.  At the national level, an interaction between cycling and ethnicity does exist, which suggests that cycling is less likely to be pursued by non-white workers.  The results are in fact striking as Figure 12 demonstrates.  Again, it is useful to be reminded that the level of cycling to work at the national level is three percent so given that 6294 people of Indian descent are included in our sample, we would expect approximately 188 people.  That in actual fact only 22 Indians identified themselves as cyclists emphases the ethnicity interaction with the cycling variable.

 

Although, the sample sizes are quite small for the non-white population, the expected numbers of cyclists are in many cases several multiples of the actually observed numbers of cyclists.  This holds in cases where the sample size of cyclists is quite small as well as for much larger ethnic communities.  Ultimately these results must be seen as robust given that the total samples even for the smallest ethnic group (Bangladeshi) are still reasonably large (N=463).

 

Figure 12

4.5 Social Class

 

Figure 13 examines the relationship between social class and cycling.  As has been mentioned, class is divided up into 5 classifications. The results of the chi-square test indicate that there is a significantly higher than expected number of cyclists who work in occupations lower down the skill scale.  Unskilled and partly skilled workers are much more likely to cycle than expected.  Moreover, cyclists make up a significant proportion of the people in these two classifications.  28 of 113 unskilled workers cycle to work (nearly 25 percent), while 51 of 288 partially skilled workers (18 percent) are bicycle commuters.  Among those in the second and third highest social classes, the observations are reversed.  Here we see that significantly fewer than expected of these two classes are cyclists.  Among professionals, the observed and expected numbers nearly match.  Although the sample size is quite small and likely not significant, it suggests that professionals are more likely to cycle than are those in the next two classes, although certainly not as much as those in the lower occupational classes.

Figure 13

 

This relationship appears to be the same for the UK data.  Broadly speaking, Figure 14 demonstrates the same shape of relationship as is seen for the York data.  Like the York data the Pearson Chi-square score is highly significant.  As in the case of York, higher than expected cycling results are found for those in the lower skilled classes, with a strong reversal for highly skilled workers and managers and technical workers, with the number of professional cyclists slightly lower than expected.  For both York and U.K. data it is individuals at the lower scale who are the most highly likely to be bicycle commuters.  As in the case of York, the actual number of cyclists among the unskilled workers is double the number expected.  However, the percentage of cyclists among this occupational class is significantly lower.  Cyclists make up only approximately 6 percent of unskilled workers compared to 25 percent for York. 

 

The York and the UK results point to a possible relationship between occupational social class and the choice of cycling.

 

Figure 14

 

 

4.6 Housing Tenure

 

The results reported in Figure 15 examine the relationship of cyclists and non-cyclists to their housing tenure, specifically, the extent to which they have developed an asset base in real estate.  Not only does this variable serve as an indication of financial wellbeing, but also to some extent complements the previous measure of social class.  Ignoring for a moment a class system based on status of career, it could be said that an alternative system could be based on one’s relationship with real estate.  Certainly, the ownership of real estate has been associated with status in the past.  In modern terms, owning one’s home outright permits an individual to use money that would otherwise go toward the mortgage for savings or increased consumption.  More money opens up options for early retirement and as such movement away from identification by employment. 

 

For the purpose of this research, I am interested in determining relationships of cyclists with their property.  One of the benefits of cycling is the ability to save significant amounts of money on auto expenses, or even on bus or rail passes.  Once the up-front cost of a bike has been made, and maintenance costs factored in, a bike is a free mode of transportation.  Such savings can be used for other expenses, such as paying a mortgage more quickly.

 

In Figure 15 it is clear that in York cyclists exceed their expected levels significantly only in the case of those owning a property free and clear.  Fewer than expected are still paying mortgages, and the observed and expected number of renters is nearly equal.  These results are somewhat difficult to interpret.  Previously it was seen that cyclists were most present among unskilled workers.  However, Figure 15 suggests that cyclists are more likely to own their homes outright than to have a mortgage or to rent.  These results provide encouraging support to the notion that cyclists are able to build up significant financial assets as a result of their transportation choices.  However, further research is needed to determine the extent that non-skilled and semi-skilled workers are counted among the homeowners.

 

Figure 15

 

 

The trend is strengthened when we look at the national situation as shown in Figure 16.  The UK data lends support to the hypothesis that some cyclists are able to build up significant equity in their homes through their saving from auto and public transport expenses, while also showing that there is a tendency for cyclists to be renters as well.  That being said, the majority of cyclists either own outright or are paying off a home.  Appendix E looks at this phenomena in more depth at the regional level.  Looking at that data seems to suggest that the cycling – outright home ownership relationship particularly seems to be associated with the wealthier South and Midlands region of the UK.  In the North, in Scotland and Wales, cyclists are less likely to own their own homes than expected.  This relationship seems to be a fruitful area for further research.

 

Figure 16

 

4.7 Travel Distance

 

In section 1.0, I mentioned that cycling may be the fastest mode of travel for distances under 4 kilometres.   Figure 17 examines the likelihood of cycling over various distances.  Not surprisingly, beyond a certain distance, the cycling drops off as a commuting mode choice.  Beyond a certain distance, a bike ride becomes a serious workout.  Figure 17 suggests that this critical value is approximately 5 km.

 

Figure 17 

 

In Figure 18, similar results are shown for the United Kingdom as a whole.  Again, the trend seems to be strong and also similar to that suggested in the York data.  Distances longer than five kilometres seem to represent the cut off point beyond which significantly fewer cyclists are present.  It is once again important to recognise the robustness of the York data in predicting national data.  The relationships themselves are therefore similar at the local and national level.

 

Figure 18

 

4.8 Commuter Efficiency

 

Figures 19 and 20 attempt to examine a concept I would term commuter efficiency.  Given the previous results indicating that cyclists are more likely to travel distances of up to 4 km, the next set of tables looks at the types of travel chosen over this optimal cycling distance.  Given the ease of getting around by bike over such short distances, it is instructive to examine the modes of travel to work actually chosen by commuters.  It is no surprise that walking and cycling are much more likely than expected.  Most striking is the number of individuals driving their cars over this short distance.  Commuting to work in a car is by far the largest and most popular means of commuting short distances.   Walking is the next most common mode, followed by cycling.  It is surprising that the bus should be the fourth most popular mode.

 

These results suggest that even in a walking and cycling friendly town such as York, automobiles seem to dominate.  While there are alternative means of getting to work quickly and with some exercise thrown in, a majority of the population opts to use their automobile to get to work.

 

Figure 19

 

 

The story is the same at the national level.  Once again, cycling and walking are much more likely than is expected over short distances.  However, more individuals drive these short distances than all other modes combined.  The data in Figure 20 is an aggregate for the whole country, which means that short trips in London are combined with short trips in small communities.  In practice this means that doctors driving to jobs in London who choose to drive rather than take a bus or the metro are lumped together with country vets who drive from their homes in the countryside to their surgeries perhaps in a neighbouring village.  Not all individuals have public transport options as alternatives to their automobiles; however, it is still significant that nearly half of all commutes to work in the United Kingdom are within easy cycling distance. Tolley and Turton (1995: 213) support this by reporting that 60 percent of all car trips in the UK are less than 8 kilometres. Terrain issues, inadequate and unsafe cycling paths due to either high urban traffic on roadways or high-speed rural traffic on country motorways may deter cyclist over such short distances.  However, the need to travel long distances to work does not appear to be a major obstacle for large numbers of residents of the United Kingdom.

 


5.0 Conclusions

5.1 Stabilising Greenhouse Gases Requires Significant Action

 

There is wide-spread disagreement about the most adequate response to the environmental situation facing the planet.  While there are many opponents to the Kyoto agreement, there does appear to be widespread agreement that 1990 levels represent a reasonable target.  We have seen that significant challenges exist if the global community intends to reach 1990 levels.  More importantly, on a global basis, emission levels in the developed world will have to be reduced dramatically in order to stabilise global emissions at this level once developing nations take on Western development patterns.

 

Conclusion One: It appears that significant cuts in carbon emissions are needed in OECD countries in order to stabilise emission levels at sustainable levels.  In order to accommodate growth in emissions among developing nations, wealthy countries will have to reduce emissions significantly.

 

5.2 Urban Travel in the Developed World Contributes to Carbon Emissions

 

From an examination of carbon levels, the analysis proceeded to examine some of the problems with private automobiles.  It was shown that private vehicles are particularly associated with demanding energy requirements, much more so than public transport.  In addition, the dominance of automobiles was shown to have additional adverse effects on urban life.  While public transit was shown to have many benefits compared to private automobiles for improving urban life, even in countries or cities like Japan and Paris with high levels of public transport, CO2 emissions are far higher than those associated with sustainable levels.  A non-polluting form of transport would help alleviate some the pollution problem.

 

Conclusion Two: The current urban transport system causes too much pollution.  Movement toward non-polluting modes of travel holds the promise of lowering greenhouse gas emissions.

5.3 Cycling Could Alleviate Some Problems Created by Automobiles

 

At present, it appears that efforts to stabilise CO2 emissions with current forms of transport are failing.  What is needed is a non-polluting form of transport capable of providing mobility over medium range distances of a few kilometres.  An analysis of cycling demonstrates that historically it appeared to be poised to play a major role in increasing mobility in the early twentieth century, but was replaced by the automobile as the dominant mode of transportation for the twentieth century.  In addition to allowing city travel, cities friendly to cycling also have the potential of increasing their citizen’s and city’s health through greater exercise.  It is worth investigating whether it might also lead to a greater involvement in the local community.

 

Conclusion Three: The bicycle holds the potential to play a much greater role in the urban transportation system as well as improving the quality of life in cities. 

 

5.4 Demographically, Urban Cyclists are not a Fringe Group

 

In the analysis of York and UK cycling statistics, it has been demonstrated that cyclists come from all walks of life.  While there do tend to be segments of society who are more likely to cycle, no particular group is dominant.   As a result, it is impossible to dismiss cyclists as a fringe group.  Clearly, cycling is not a particularly popular commuting mode, compared to automobiles, or even public transit.  That being said, it does benefit from diversity.  While some interactions exist, particularly for women at the national level, it appears likely that greater study into the concerns women have might reduce the disparity as seems to be the case for York.

 

Conclusion Four: Cyclists as a sub-population appear to look reasonably like the general population.  Although some socio-economic variation exists, one particular group does not appear to dominate.


5.5 Cycling Appears to be Consistent with Economic Wellbeing

 

Cyclists were seen to be somewhat more likely to be drawn for working class and unskilled backgrounds than were clerical workers; however, the trend reversed slightly among professional at the top of the worker prestige categories.  Moreover, cyclists were much more likely to own their own home outright than expected in both York and the UK.  While greater research into this relationship would be necessary to draw definitive conclusions, the trend seems to suggest the possibility that cyclists are a financially stable group.

 

This point is driven home further by looking at the top three centres of cycling in the UK.  Oxford, Cambridge and York are listed at the top of the cycling scale (The Department of Transport 1996).  All three of these cities are known to be economically strong cities, and in the cases of Oxford and Cambridge, major contributors to the high value added knowledge economy.  Furthermore, the two countries most associated with cycling among the developed nations are the Netherlands and Denmark.  Both countries rank high in terms of standard of living and national wealth (United Nations 2003).  While it would be overstating the case in the extreme to attribute their wealth to cycling, it can certainly be said that wealth and dependence on cycling as a major transportation mode are not mutually exclusive.

 

Conclusion Five: High levels of cycling as transport is consistent with the operation of wealthy high value added economies.

 

5.6 Cycling is not the Preserve of the Young

 

My analysis suggests that cycling can serve as effective transport throughout one’s working life.  While there are limitations on cycling among the very young and presumably the very old, cycling certainly appears to be popular among workers well into their sixties.  Not only has this study shown that older workers continue to cycle right up to the point at which they begin to collect their pensions, but that they do so in greater numbers than their population size would suggest.  While this is an impressive result in and of itself, the main conclusion of the analysis of age and cycling was of the prevalence of cycling throughout the lives of workers.   Clearly cycling is not primarily a young person’s activity, nor a stopgap transport mode before a person can purchase a car; rather, cycling is chosen as a commuter mode by young workers and those in their middle working years as well as workers preparing to retire.

 

Conclusion Six: Cycling has the potential to provide transport to city residents of all ages, and is not age constrained.

 

5.7 Cycling Appears to be Appropriate for Many Urban Commuters

 

The analysis in this paper appears to suggest that urban transportation is chosen in a very inefficient manner.  While we have seen that cycling is most popular over short distances of up to 4 kilometres, it is striking that automobiles continue to be the preferred means of transport at these distances.  Cycling even appears to have benefits over public transport over short distances.

 

Clearly, trains, buses and trams play a significant role in transporting people over city distances.  For city residents with mobility problems, extensive public transit and availability of automobiles can make the difference between being able to engage in civic life, and being marginalised.  Moreover, variation in climate and terrain as well as personal preference ensures that the bicycle is not the solution for every city trip.  However, given its many advantages, the bicycle as a mode of city travel appears to be greatly under-utilised.  When trips by automobile or even occasionally public transit are chosen over cycling, the potential exists that the travel is choosing their travel mode inefficiently.

 

Conclusion Seven: An efficient transportation system is one which uses the most appropriate mode for the distance consistent with personal and environmental conditions.  Cycling in concert with greater use of public transportation and walking appears to have the potential in some situations to improve the urban transport system.

 

 

5.8 The UK Appears to Have Room to Grow in Cycle Usage

 

Finally, the York data can be seen as an indication of the possibilities for UK cycling.  Certainly York does not represent the upper boundary for what is possible for urban cycling. There must be potential cyclists who choose transit or private cars due to lack of convenient cycle lanes or other safety concerns.  However, approximately twelve percent of commuters in York choose to cycle to work.  The city has set out an official policy to encourage cycling (York City Council 2003).  If the UK were to adopt similar cycle friendly policies to attract thirteen percent cycling levels on a national scale the number of bicycle commuters (multiplying the 2 percent sample numbers by fifty) could be estimated to rise from just over 700,000 to nearly 3 million.

 

Conclusion Eight: With cycling friendly strategies in suitable contexts, cycling as transport appears to have the potential to make up a much larger proportion of the UK transport system.

 

5.9 Cycling and Urban Planning Are Inter-dependent

 

Looking beyond UK examples and thinking globally, there are a number of challenges in allowing cycling to grow as a means of transport in urban settings beyond merely building transit lanes.  Many of these likely pertain to climactic factors of rain and snow, geographic factors of terrain, and security factors resulting from inadequate cycling infrastructure which separates the cyclist from traffic.  One additional factor comes from a finding in Kenworthy and Noble (94-95).  Comparing Los Angeles and Paris, their analysis shows that in the respective Central Business districts of both cities, the density of population is 28.2 in Los Angeles as compared with 179.7 for Paris, while the density of jobs is 506.1 for Los Angeles and 369.2 for Paris. 

 

These two cities are extreme examples of a trend for many American and European cities.  Americans tend to not populate the areas where the business of the city is done to the same extent that Europeans do.  Clearly, cycling will not be a commuter option for forty kilometre commuting distances.  While cycling might be a means of travelling to commuter rail stations which take workers into the central city, a better solution seems more likely.  That is that the built environment, its geography, land use, activities and energy consumption are intimately connected.  Building separate bike lanes, or seeking other ways to reduce the reluctance of travellers to use cycling for their daily trips is only part of the battle for a bicycle friendly transportation system.  Equally important is the creation of a built environment which reduces the need for private automobiles.  Clearly, the location of services, homes and workplaces will play an enormous role in reducing our energy consumption.  A better co-ordination of land use and the location of services and perhaps a general movement toward compact cities appears to be necessary to unlock the potential of energy savings.

 

Conclusion Nine: In addition to cycle friendly strategies, changes to the structure of the built environment are necessary in order to develop an efficient urban transport system.

 

5.10 Summary

 

This paper has sought to examine the case for cycling playing a larger role in the search for a sustainable urban transportation system.  The consensus that greenhouse gas emissions are too high, and the automobile’s role in contributing to this form of pollution as well as some of the other consequences of an automobile dominated city have been examined.  In choosing to look at the bicycle as a possible replacement for automobile trips, I have tended to side with arguments which are more popular with deep ecologists and advocates of sustainable development rather than supporters of market solutions to the rise in greenhouse gases.  In doing so, it is impossible to overlook a subtle criticism of the market solution to dealing with environmental concerns.  One of the most striking observations has been the number of short commutes to work that are taken by automobile.  Given the obsession by economists for efficiency and productivity, money spent on these trips appears to be poorly invested.  Given the availability of cycling as a cheep and healthy alternative, short car rides to work might be better classified as a luxury good.  However, contrary to the deep ecologist argument that cuts in economic well-being may be necessary, there is some indication that a city of cyclists might actually lead to greater wealth.  My analysis has revealed that cyclists tend to be homeowners, and moreover, that they are more likely to own their home outright than would be expected.  My analysis hints that rather than costing society a great deal to move away from an automobile based society, major sources of wealth may be able to be unlocked by a move toward cycling, the case is even stronger if we choose to measure wealth by the possession of good health and strong communities.

 

5.11 Next steps.

 

This dissertation is only a first step in examining the prospects for greater use of cycling for transportation.   It suggests that cycling has the potential to play a much larger role in modern transportation systems in the UK.  To strengthen this argument, several follow-up studies would be helpful to confirm this research over time and internationally and to create a strategy for increasing the role played by cycling in urban transport.

 

Step One: Repeat the socio-economic analysis of York and the UK using the soon to be released 2001 UK census data.  By confirming the structure of the cycling community in a mutli-year study, it would be possible to assess whether there is stability in its make-up or whether growth or decrease is focused in certain groups.

 

Step Two: Make use of Geographic Information System (GIS) technology to examine cycling from a spatial perspective.  Since cycling is most popular over short and medium distances, an important next step would be to examine the spatial distribution of cyclists in order to understand their geography and the characteristics of cycling friendly neighbourhoods.  By looking at cycling from a neighbourhood perspective, barriers to cycling as well as factors encouraging cycling might be more easily identified.

 

Step Three: Repeat the analysis in a multi-country study.  Not only is it beneficial to determine if there is time stability in the cycling community, but also the extent to which cyclists are similar or different as a group in other developed countries.  If the social composition of cyclists are similar, the city and national programs aimed at encouraging cycling are probably more likely to be effective across jurisdictions.  If not, it would suggest that each country will need to take a unique approach in order to encourage cycling within their city or country.

 

Step Four: Make use of national transport surveys as well as social surveys which are conducted on a more frequent basis than census data.  Although these surveys lack the sample sizes of census data, they do have a greater breadth of detail about cyclists, and also permit cycling patterns to be tracked annually, thereby making patterns more obvious.

 

Step Five: Once a clearer picture of the cycling community has been established, qualitative studies of cyclists and potential cyclists will be particularly valuable to clarify motivational aspects of their transportation choices.  This is a useful step before making expensive policy and infrastructure decisions, as it should help to clarify which will have the greatest impact on encouraging residents to choose cycling as a transportation mode.


6.0 References

 

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British Medical Association 1992. Cycling: towards heath and safety.  Oxford: Oxford University Press.

 

Balchin, P. 1995. Housing Policy: An Introduction. London: Routledge.

 

Carlsson-Kanyama, A., Lindén.  A.and Thelander, Å. 1999. ‘Gender Differences in Environmental Impacts from Patterns of Transportation – A Case Study from Sweden’. Society and Natural Resources, 12, pp. 355-369.

 

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Census Microdata Unit. 1991 Sample of Annonymised Records - Glossary. Manchester University. http://www.ccsr.ac.uk/sars/

 

Cipolla. C. 1962. The Economic History of World Population. Middlesex: Penguin

 

Clavert, P. 1982. The Concept of Class: an historical introduction. New York: St. Martins Press Inc.

 

Dale, A. Fieldhouse, E. & Holdsworth, C. 2000. Analysing Census Microdata. London: Arnold.

 

ExxonMobile Corporation 2001. Media Statement – Global Climate change. Available from http://www.exxonmobil.com.  Accessed on August 1, 2003

 

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Gehl, J. 1996. Koch, J. (trans.) Life Between Buildings: Using Public Space. Bogtrykkeriet: ArkitektensForlag.

 

Gordon, P. and Richardson, H. 1999. “Review Essay: Los Angeles, City of Angels? No, City of Angles”. Urban Studies, Vol. 36, No. 3, pp. 570-591.

 

Government of Canada 2002. Climate Change Plan for Canada http://www.climatechange.gc.ca Accessed July 1, 2003

 

Hellevik, O. 1984. Introduction to Causal Analysis: Exploring Survey Data by Crosstabulation.  London: George Allen & Unwin (publishers) Ltd.

 

Houghton. J., Hilho, L. Bruce, J. Hoesung, L. Callander, B. Haites, N., and Maskell, K. 1997. “Climate Change: Radiative Forcing of Climate – Executive Summary” in Owen, L. and Unwin, T. (eds.) Environmental Management: Readings and Case Studies.  Oxford, Blackwell.

 

Hutcheson, G. and Sofroniou, N. 1999. The Multivariate Social Scientist. London: Sage.

 

Humphries, S. 2001. ‘Who’s Afraid of the big, Bad Firm: the Impact of Economic Scale on Political Participation’. American Journal of Political Science, Vol. 45, No. 3, pp. 678-699.

 

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Klein, R. 2003. Steady as We Grow: The Government’s Plan for 2003.  Speech to the people of Alberta, January 27, 2003. http://www.gov.ab.ca/premier/address2003/content/page_complete.cfm Accessed August 23, 2003.

 

Lélé, S. 1991. “Sustainable Development: A Critical Review”. World Development, Vol. 19, No. 6, pp. 607-621.

 

Lombourg, B. 2001. the skeptical environmentalist: Measuring the Real State of the World. Cambridge: Cambridge University Press.

 

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Sessions, G. 1995. “Deep Ecology and the New Age Movement” in Sessions, G. (ed.) Deep Ecology for the 21st Century: Readings on the Philosophy and Practice of the New Environmentalism.  Boston: Shambhala. pp. 290-310.

 

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Appendices

Appendix A Alternative Cities to York for Investigation

 

Although I decided to look at York data for my investigation, I considered a number of other cities.  Both Oxford and Cambridge have higher cycling populations but I ruled them out because both are unusual university towns which I did not feel would be appropriate for generalising to the whole population.  Because of their unique history, and their heavy dependence on knowledge based industries, cycling in both cities may be grounded on different foundations. 

 

Similarly, I was tempted to make use of Glasgow or Edinburgh data for my analysis.  Being located in Edinburgh would have made the selection of that city a natural choice.  However, cycling is a much less popular transport choice in Edinburgh at around 2 percent of the population, and even less popular in Glasgow at below 1 percent of the population.  In fact, the low incidence of cycling in most cities made it difficult to choose any exemplar city to examine cycling in a context in which it carried a significant part of the transportation load.   The Department of Transport Document Cycling in Great Britain (1996) lists a number of other candidate cities, but few seemed to meet my criteria.  Although York is not a perfect choice, it seemed to offer the best set of characteristics to study cycling in a natural setting.  Figure 20 shows cycling levels for a cross section of Urban centres in the UK, and as the reader will note, despite its smaller size, York has largest total number of cyclists in its sample.

 

Figure 20


Appendix B  The Two Percent Sample

 

All data reported in the results which follow are drawn directly from the SARs two percent sample of census data.  Weighting factors are present in the data, however (Dale, Fieldhouse & Holdsworth 2000: 80-82).  As these authors point out, most weights in the sample sum to one, however for small samples there can be variation which should lead to caution about extrapolating results to the whole population.  The authors point out that weights represent, “the ratio of usual residents in each SAR area, by age and sex categories, to the corresponding number of persons in the Registrar General’s mid-1991 estimate for that area” (81)

 

Rough estimates of the true population numbers can be obtained by multiplying a particular cells numbers by 50.  And the larger the sample, the more accurate the population estimate.  So for example, the reported sample of UK cyclists is listed in my tables as being 14252.  The actual population of cyclist who commuted to work in the UK in 1991 when the census was taken was approximately 700,000.  A more formal treatment would require using the weightings.  Figure 21 demonstrates the difference if the simple versus formal method of calculating population totals were used for the 18 cyclists in Chelsea.  As is obvious to the reader there is some variation in the two estimated populations, and the figure is a good illustration of some of the pitfalls for making accurate estimates of small subgroups of the SARs population.

 

Figure 21


Appendix C  Variations in the Population of Cyclists

 

While the sample of cyclists in the United Kingdom is based on 14,252 cases, some of my reported results are actually based on a smaller sample.  This is due to transformations I made in the data to make the output of the charts more meaningful, and to deal with small sample size concerns.  The best way to see this is to consider my results for gender.  The chi-square analysis of this variable employs the full population because gender is an unambiguous variable.  There is no non-response rate to this variable and there are only two acceptable categories.  As a result, my reported numbers for gender are representative of the entire sample population.  The gender tables which follow indicate that there are 204 cyclists in the data set for York and 14,252 in the dataset for all of the United Kingdom.

 

The same does not hold true for social class.  For this variable I purposely excluded small occupational class variables because of the small sample size for York.  For the purposes of consistency, I did the same at the national level despite the fact that the larger samples rendered mute the small sample size effects.  As an example, I excluded the category of armed service members from social class because of the small sample of this group in York.

 

Consistent across all variables other than gender were nonsense categories such as not-applicable or no-response.  I tended to remove these cases from my samples because of difficulties in interpreting the results.  A final category of transformations I used was aggregation.  For example, the mode of travel to work is broken down into a number of similar categories.  For completeness sake, I could have recorded separately individuals who drive to work in an automobile and individuals who travel to work as passengers in automobiles.  However, it seemed more reasonable to combine the two categories into one category of automobile commuters.  While in theory carpooling is a different class of commuting than driving to work in one’s own car, in practice there was too little information to study this phenomenon with that data available.  The same holds true for users of British Rail (as it was in 1991) and other forms of rail travel.  While the use of a city tram or underground is qualitatively different from full size commuter rail and inter-city rail, in practice the sample sizes were often so small, and the inability to interpret the different types of rail so difficult, that in the end, it seemed more appropriate to merely differentiate between rail and bus users.

 

Similarly, I simplified the 10 categories of tenure of household into 3 categories of house ownership – outright, house ownership with mortgage, and renters.  Certainly I lost a large amount of detail about renters, particularly pertaining to their accommodation in public housing versus private rental accommodation, but I hope I gained something in terms of clarity of presentation.

 

A final note should be made of the prevalence of individuals who work from home.  Clearly, working from home was not a focus of my research.  As a result, I tended to exclude such workers from my analysis.  While working at home may be very desirable as a way of avoiding traffic congestion and reducing greenhouse gases through avoiding travel, my primary focus was on the characteristics of travel.  Where it was necessary to compare cyclists to other modes of travel, I excluded home-workers for the natural fact that they do not in fact travel to their place of work (if we can exclude the commute down the stairs to the home office as travel).


Appendix D Efficiency and Public Transportations

 

The modern obsession with the automobile is only the most recent round in the environmentalist battle for appropriate transportation.  The nineteenth century philosopher Thoreau (1985: 365) long before the development of the automobile identified the train as an eyesore.  In his extended essay entitled Walden, he identifies them as a questionable good:

 

“I have learned that the swiftest traveller is he who goes by foot.  I say to my friend, supposes we try who will get there first.  The distance is thirty miles: the fare ninety cents.  This is almost a days wages … Well, I start on foot, and get there before night … You will in the mean while have earned your fare, and arrive there some time to-morrow … instead of going to Fitchburg, you will be working here the greater part of the day.  And so, if the railroad reached round the world, I think that I should keep ahead of you; and as for seeing the country and getting experience of that kind, I should have to cut your acquaintance altogether.”

 

And,

 

“This spending of the best part of one’s life earning money in order to enjoy a questionable liberty during the least valuable part of it, reminds me of the Englishman who went to India to make a fortune first, in order that he might return to England and live the life of a poet.  He should have gone up garret at once.  “What!” exclaim a million Irishmen, starting up from all the shanties in the land ‘is not this railroad which we have built a good thing?’  Yes, I answer, comparitively good, that is, you might have done worse; but I wish, as you are brothers of mine, that you could have spent your time better than digging in this dirt.”

 

While Thoreau was an idealist and a dreamer, he does serve to remind us that transportation choices we make have profound impacts on the quality of our daily lives.  Over dependence on automobiles and even public transportation comes at a cost.  While both forms of transportation have their place in the modern transportation system, a simpler urban form built around cycling and other forms of human powered transportation promises to transform the quality of our urban life while allowing us to enjoy many of the benefits of modern technology.  By applying the correct mode of transportation for the particular journey requirements, we have the potential to reap a healthier and more sustainable future.


Appendix E Home Tenure by Region

 

Although I focused on the local and National levels of cycling, I also toyed with the possibility of examining cycling at a regional level.  One advantage would be that I would gain a larger sample size, but the disadvantage is that I would be working with cyclists as a much smaller percentage of the population. 

 

Perhaps an even more significant advantage is the prospect of comparing some of the relationship I found at both the York and National level in several other geographic contexts.  Figure 22 shows Tenure of ownership by region.  As was mentioned in the text, the tendency of cyclists to own their own home is somewhat confirmed in this table, but with the qualification that the phenomena is not consistent throughout all regions of Britain.  Of the 12 regions shown, observed home ownership is higher than expected in 7 of the regions and lower in 5.  Moreover, the trend is strongest in the wealthier South.

 

Figure 22

 

 



[1] The text is available at the UN website http://unfccc.int/resource/docs/convkp/kpeng.html.

[2] The world bank obtains data for CO2 emissions from member countries and the numbers are calculated from the burning of all fossil fuels and the manufacture of cement.  They use aggregation numbers for countries which do not typically provide detailed data.

[3] See also (Humphries 2001:681) for a list of associated studies examining the detrimental effect of commuting on community involvement.

[4] A synopsis of this debate has provided by Span (2003).  In brief, some people argue that auto companies shut down street car lines in American cities in order to sell more of their products.

[5] More details about the variables used in this study can be obtained from the 1991 SARs codebook and glossary available from the website of the Census Microdata Unit http://www.ccsr.ac.uk/sars/