Can Negative Travel Habits Hinder Positive Travel Behavioural Change under Beijing Vehicle Restrictions?
Abstract
Given the rapid development of large cities, the residents faced with pressure both at work and in their personal lives tend to solidify their choice of transport modes and form personal travel habits, which in turn leads to higher requirements for urban traffic management. Based on the modified Theory of Planned Behaviour, the structural equation method is employed to explore people’s travel behaviour. It is found that policy attitude, perceived behaviour control, and subjective norms comprehensively affect the residents’ travel intentions under the Vehicle Restrictions in place in Beijing. The residents without private cars display a stronger intention to change their travel choices under the policies. When considering the mediating effect of travel habits between travel intention and travel choice, the impact of the restrictive policies is weakened. Compared with lower-income people, those with higher incomes demonstrate more stable travel habits in response to the effects of the restrictions. The higher the income, the greater the dependence on private cars exhibited by the residents. To summarize, people’s travel habits weaken to some extent the effects of the restrictive policies. Such policies should be created with the explicit aim of gradually changing the people’s habits.
References
Beijing Traffic Development Annual Report. Beijing Transport Institute; 2018.
Beck MJ, Rose JM, Hensher DA. Environmental attitudes and emissions charging: An example of policy implications for vehicle choice. Transportation Research Part A: Policy and Practice. 2013;50: 171-182.
Lu M, Sun C, Zheng S. Congestion and pollution consequences of driving-to-school trips: A case study in Beijing. Transportation Research Part D: Transport and Environment. 2017;50: 280-291.
Mohamed M, Bromfield NF. Attitudes, driving behaviour, and accident involvement among young male drivers in Saudi Arabia. Transportation Research Part F: Traffic Psychology and Behaviour. 2017;47: 59-71.
Víctor C, Juan DO. Restricting the use of cars by license plate numbers: A misguided urban transport policy. Dyna Rev.fac.nac.minas. 2014;81(188): 75-82.
Wen H, Sun J, Zhang X. Study on traffic congestion patterns of large city in China taking Beijing as an example. Procedia – Social and Behavioural Sciences. 2014;138: 482-491.
Liu Y, Ji YJ, Shi ZB, He BH, Liu QY. Investigating the effect of the spatial relationship between home, workplace and school on parental chauffeurs’ daily travel mode choice. Transport Policy. 2018;69: 78-87.
Wang L, Xu J, Qin P. Will a driving restriction policy reduce car trips? – The case study of Beijing, China. Transportation Research Part A: Policy and Practice. 2014;67: 279-290.
Viard VB, Fu S. The effect of Beijing’s driving restrictions on pollution and economic activity. Journal of Public Economics. 2015;125: 98-115.
Du HB, Liu DY, Sovacool BK, Wang YR, Ma SF, Li R. Who buys new energy vehicles in China? Assessing social-psychological predictors of purchasing awareness, intention, and policy. Transportation Research Part F: Traffic Psychology and Behaviour. 2018;58: 56-69.
Verplanken B, Aarts H. Habit, attitude, and planned behaviour: is habit an empty constructor an interesting case of goal-directed automaticity? European Review of Social Psychology. 1999;10(1): 101-134.
Wood W. A new look at habits and the habit-goal interface. Psychological Review. 2007;114(4): 843-863.
Wood W, Neal DT. The habitual consumer. Journal of Consumer Psychology. 2009;19(4): 579-592.
Bonnel P. Urban car policy in Europe. Transport Policy. 1995;2(2): 83-95.
Albert G, Mahalel D. Congestion tolls and parking fees: A comparison of the potential effect on travel behaviour. Transport Policy. 2006;13(6): 496-502.
Habibian M, Kermanshah M. Coping with congestion: Understanding the role of simultaneous transportation demand management policies on commuters. Transport Policy. 2013;30: 229-237.
Cavallaro F, Giaretta F, Nocera S. The potential of road pricing schemes to reduce carbon emissions. Transport Policy. 2017;67: 85-92.
Schwanen T, Dieleman FM, Dijst M. Travel behaviour in Dutch monocentric and policentric urban systems. Journal of Transport Geography. 2001;9(3): 173-186.
Kingham S, Dickinson J, Copsey S. Travelling to work: Will people move out of their cars. Transport Policy. 2001;8(2): 151-160.
Bhat CR, Sen S, Eluru N. The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use. Transportation Research Part B: Methodological. 2009;43(1): 1-18.
Ding C, Wang Y, Tang T, Mishra S, Liu C. Joint analysis of the spatial impacts of built environment on car ownership and travel mode choice. Transportation Research Part D: Transport and Environment. 2018;60: 28-40.
Hine J, Scott J. Seamless, accessible travel: Users' views of the public transport journey and interchange. Transport Policy. 2000;7(3): 217-226.
Noblet CL, Thøgersen J, Teisl MF. Who attempts to drive less in new England? Transportation Research Part F: Traffic Psychology and Behaviour. 2014;23: 69-80.
Lind HB, Nordfjærn T, Jørgensen SH, Rundmo T. The value-belief-norm theory, personal norms and sustainable travel mode choice in urban areas. Journal of Environmental Psychology. 2015;44: 119-125.
Lo SH, Breukelen GJP, Peters GJY, Kok G. Commuting travel mode choice among office workers: Comparing an extended theory of planned behaviour model between regions and organizational sectors. Travel Behaviour and Society. 2015;4: 1-10.
Jia N, Li LY, Ling S, Ma SF, Yao W. Influence of attitudinal and low-carbon factors on behavioural intention of commuting mode choice – A cross-city study in China. Transportation Research Part A: Policy and Practice. 2018;111: 108-118.
Stark J, Berger WJ, HöSsinger R. The effectiveness of an intervention to promote active travel modes in early adolescence. Transportation Research Part F: Traffic Psychology and Behaviour. 2018;55: 389-402.
Aarts H, Dijksterhuis AP. The automatic activation of goal-directed behaviour: The case of travel habit. Journal of Environmental Psychology. 2000;20(1): 75-82.
Bamberg S. Chapter 9 Understanding and promoting bicycle use – Insights from psychological research. In: Parkin J. (ed.) Cycling and Sustainability (Transport and Sustainability, Vol. 1). Bingley, UK: Emerald Group Publishing Limited; 2012. p. 219-246.
Fujii S, Gärling T. Development of script-based travel mode choice after forced change. Transportation Research Part F: Traffic Psychology and Behaviour. 2003;6(2): 117-124.
Klöckner CA, Matthies E. How habits interfere with norm-directed behaviour: A normative decision-making model for travel mode choice. Journal of Environmental Psychology. 2004;24(3): 319-327.
Thomas GO, Walker I. Users of different travel modes differ in journey satisfaction and habit strength but not environmental worldviews: A large-scale survey of drivers, walkers, bicyclists and bus users commuting to a UK university. Transportation Research Part F: Traffic Psychology and Behaviour. 2015;34: 86-93.
Hoang-Tung N, Kojima A, Kubota H. Transformation from intentions to habits in travel behaviour: An awareness of a mediated form of intention. Transportation Research Part F: Traffic Psychology and Behaviour. 2017;49: 226-235.
Setiawan R, Santosa W, Sjafruddin A. The Effect of Students’ Car Access and Car use Habits on Student Behaviour to Reduce using Cars for Traveling to Campus. Procedia Engineering. 2017;171(7): 1454-1462.
Lanken B, Aarts H, Knippenberg AV, Knippenberg CV. Attitude versus general habit: Antecedents of travel mode choice. Journal of Applied Social Psychology. 1994;24(4): 285-300.
Verplanken B, Orbell S. Reflections on past behaviour: A self-report index of habit strength1. Journal of Applied Social Psychology. 2003;33(6): 1313-1330.
Li ZY, L RM, Wang XK, Pan S. Effects of vehicle restriction policies: Analysis using license plate recognition data in Langfang, China. Transportation Research Part A: Policy and Practice. 2018;118: 89-103.
Chen CF, Chao WH. Habitual or reasoned? Using the theory of planned behaviour, technology acceptance model, and habit to examine switching intentions toward public transit. Transportation Research Part F: Traffic Psychology and Behaviour. 2011;14(2): 128-137.
Donald IJ, Cooper SR, Conchie SM. An extended theory of planned behaviour model of the psychological factors affecting commuters – Transport mode use. Journal of Environmental Psychology. 2014;40: 39-48.
Şimşekoğlu Ö, Trond N, Torbjørn R. The role of attitudes, transport priorities, and car use habit for travel mode use and intentions to use public transportation in an urban Norwegian public. Transport Policy. 2015;42: 113-120.
Klöckner CA, Friedrichsmeier T. A multi-level approach to travel mode choice – How person characteristics and situation specific aspects determine car use in a student sample. Transportation Research Part F: Traffic Psychology and Behaviour. 2011;14(4): 261-277.
Eriksson L, Garvill J, Nordlund AM. Interrupting habitual car use: The importance of car habit strength and moral motivation for personal car use reduction. Transportation Research Part F: Traffic Psychology and Behaviour. 2008;11(1): 10-23.
Dargay J. The effect of prices and income on car travel in the UK. Transportation Research Part A: Policy and Practice. 2007;41(10): 949-960.
Liu Y, Hong Z, Liu Y. Do driving restriction policies effectively motivate commuters to use public transportation? Energy Policy. 2016;90: 253-261.
Bamberg S, Rölle D, Weber C. Does habitual car use not lead to more resistance to change of travel mode? Transportation. 2003;30(1): 97-108.
Schmidt P, Davidov E, Banberg S. Is there any interaction effect between intention and percevies behavioural control? Methods of Psychological Research Online. 2004;8(2): 127-157.
Bamberg S, Schmidt P. Incentives, morality, or habit? Predicting students’ car use for university routes with the models of Ajzen, Schwartz, and Triandis. Environment and Behaviour. 2003;35(2): 264-285.
Ye R, Titheridge H. Satisfaction with the commute: The role of travel mode choice, built environment and attitudes. Transportation Research Part D: Transport and Environment. 2016;52: 535-547.
Jia N, Zhang Y, He Z, Li G. Commuters' acceptance of and behaviour reactions to license plate restriction policy: A case study of Tianjin, China. Transportation Research Part D: Transport and Environment. 2016;52: 428-440.
Zhang LL, Long RY, Chen H. Do car restriction policies effectively promote the development of public transport? World Development. 2019;119: 100-110.
Copyright (c) 2020 Xiao Dong, Ruoya Wang, Yaodong Zhou
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).