Abstract
Many travel demand management policies are not effective in addressing traffic congestion. Policy makers assume people would actively respond to the policies that minimize social costs, but people might behave in a way to minimize their own costs — the costminimization hypothesis. The hypothesis implies that people tend to adopt lower-cost travel-related strategies, before moving to higher-cost ones if travel dissatisfaction persists. Travel behaviour studies have yet to substantiate the hypothesis. This study conducted several statistical tests using the 2008–2009 data in Minneapolis-St. Paul metropolitan area. The analysis on the adoption of different groups of travel-related strategies offer supportive evidence for the hypothesis: the adoptions are interdependent. An examination of adoption time confirms that people tend to first seek mitigation from low-cost strategies, before moving to mediumor high-cost strategies. Overall, this study substantiates the discrepancy between policy assumptions and people’s behavior responses, which helps explain the limited effectiveness of travel demand management policies.
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References
AASHTO (2009). America’s top five transportation headaches and their remedies. Washington, D.C.: The American Association of State Highway and Transportation Officials and TRIP.
Arentze, T., Hofman, F., and Timmermans, H. (2004). “Predicting multifaceted activity-travel adjustment strategies in response to possible congestion pricing scenarios using an Internet-based stated adaptation experiment.” Transport Policy, Vol. 11, No. 1, pp. 31–41.
Cao, X., Douma, F., and Cleaveland, F. (2010). “The influence of eshopping on shopping travel: Evidence from minnesota’s twin cities.” Transportation Research Record: Journal of the Transportation Research Board, Vol. 2, pp. 147–154.
Cao, X. and Mokhtarian, P. L. (2005). “How do individuals adapt their personal travel? Objective and subjective influences on the consideration of travel-related strategies for San Francisco Bay Area commuters.” Transport Policy, Vol. 12, No. 4, pp. 291–302.
Chatterjee, K. and Bonsall, P. (2009). “Special issue on evaluation of programmes promoting voluntary change in travel behavior.” Transport Policy, Vol. 16, No. 6, pp. 279–280.
Choo, S. H., Lee, T. H., and Mokhtarian, P. (2007). “Do transportation and communications tend to be substitutes, complements, or neither?: U.S. Consumer expenditures perspective, 1984–2002.” Transportation Research Record: Journal of the Transportation Research Board, No. 2010, pp.121–132.
Choo, S. and Mokhtarian, P. L. (2008). “How do people respond to congestion mitigation policies? A multivariate probit model of the individual consideration of three travel-related strategy bundles.” Transportation, Vol. 35, No. 2, pp. 145–163.
Christensen, R. (1997). Log-linear models and logistic regression, 2nd Edition, New York, Springer-Verlag.
Downs, A. (2004). Why traffic congestion is here to stay... and will get worse, Access 20:19–25.
Eriksson, L., Nordlund, A. M., and Garvill, J. (2010). “Expected car use reduction in response to structural travel demand management measures.” Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 13, No. 5, pp. 329–342.
Gärling, T. and Axhausen, K. (2003). “Introduction: Habitual travel choice.” Transportation, Vol. 30, No. 1, pp. 1–11.
Gärling, T., Eek, D., Loukopoulos, P., Fujii, S., Johansson-Stenman, O. Kitamura, R., Pendyala, R., and Vilhelmson, B. (2002). “A conceptual analysis of the impact of travel demand management on private car use.” Transport Policy, Vol. 9, No. 1. pp.59–70.
Gärling, T., Jakobsson, C., Loukopoulos, P., and Fujii, S. (2004). “Adaptation of private car use in response to travel demand management measures: Potential roles of intelligent transportation systems.” Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, Vol. 8, No. 4, pp. 189–194.
Gärling, T. and Schuitema, G. (2007). “Travel demand management targeting reduced private car use: Effectiveness, public acceptability and political feasibility.” Journal of Social Issues, Vol. 63, No. 1, pp. 139–153.
Levinson, D. M. and Krizek, K. J. (2008). Planning for place and plexus: metropolitan land use and transport, New York; London, Routledge.
Loukopoulos, P., Jakobsson, C., Gärling, T., Meland, S., and Fujii, S. (2006). “Understanding the process of adaptation to car-use reduction goals.” Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 9, No. 2, pp. 115–127.
Loukopoulos, P., Jakobsson, C., Gärling, T., Schneider, C. M. and Fujii, S. (2004). “Car-user responses to travel demand management measures: Goal setting and choice of adaptation alternatives.” Transportation Research Part D-Transport and Environment, Vol. 9, No. 4, pp. 263–280.
Mankiw, G. N. (2006). Raise the gas tax, In the Wall Street Journal.
Meyer, M. D. (1999). “Demand management as an element of transportation policy: Using carrots and sticks to influence travel behavior.” Transportation Research Part a-Policy and Practice, Vol. 33, Nos. 7–8, pp. 575–599.
Mokhtarian, P. L., Raney, E. A., and Salomon, I. (1997). “Behavioral response to congestion: Identifying patterns and socio-economic differences in adoption.” Transport Policy, Vol. 4, No. 3, pp. 147–160.
Parry, I. W. H. and Small, K. A. (2005). “Does britain or the united states have the right gasoline tax?” American Economic Review, Vol. 95, No. 4, pp. 1276–1289.
Plaut, P. O. (1997). “Transportation-communications relationships in industry.” Transportation Research Part a-Policy and Practice, Vol. 31, No. 6, pp. 419–429.
Raney, E. A., Mokhtarian, P. L. and Salomon, I. (2000). “Modeling individuals’ consideration of strategies to cope with congestion.” Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 3, No. 3, pp. 141–165.
Salomon, I. and Mokhtarian, P. L. (1997). “Coping with congestion: Understanding the gap between policy assumptions and behavior.” Transportation Research Part D: Transport and Environment, Vol. 2, No. 2, pp. 107–123.
Salomon, I. and Mokhtarian, P. L. (1998). “What happens when mobility-inclined market segments face accessibility-enhancing policies?” Transportation Research Part D: Transport and Environment, Vol. 3, No. 3, pp. 129–140.
Schrank, D. and T. Lomax (2009). 2009 urban mobility report, University Transportation Center for Mobility, Texas Transportation Institute.
Seethaler, R. and Rose, G. (2009). “Using odometer readings to assess VKT changes associated with a voluntary travel behaviour change program.” Transport Policy, Vol. 16, No. 6, pp. 325–334.
Thoersen, J. (2009). “Promoting public transport as a subscription service: Effects of a free month travel card.” Transport Policy, Vol. 16, No. 6, pp. 335–343.
Zipf, G. K. (1949). Human behavior and the principle of least effort: An introduction to human ecology, Cambridge, MA: Addison-Wesley Press.
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Cao, X.(., Wongmonta, S. & Choo, S. Examining the adaptation process of people’s behavioral response to high gasoline costs. KSCE J Civ Eng 17, 815–823 (2013). https://doi.org/10.1007/s12205-013-0208-1
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DOI: https://doi.org/10.1007/s12205-013-0208-1