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Coping with Congestion: Understanding the Gap Between Policy Assumptions and Behavior

Author

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  • Salomon, Ilan
  • Mokhtarian, Patricia L.

Abstract

With congestion being a major social and environmental cost of urban and metropolitan transportation, it has become a major target for policy-makers and planners. However, policies to curb congestion have had little effect. It is suggested that there is a wide gap between the assumptions which underlie policy measures and the manner in which individual users perceive and, consequently, respond to policy measures. This gap can partially be explained by the fact that the set of alternative responses to growing congestion is wider and somewhat different from that assumed by policy-makers. Moreover, the distributional impacts of various responses are such that their benefits and costs, as perceived by the user, create barriers to adoption. The dynamics of the behavioral response are also often overlooked by policy-makers, resulting in the promulgation of measures which have little or not effect on users’ behavior. This paper reviews 16 possible behavioral responses from a coping strategy perspective, and emphasizes their distributional impacts. Finally, the paper analyzes some of the implications of the gap between policy-making and user response.

Suggested Citation

  • Salomon, Ilan & Mokhtarian, Patricia L., 1997. "Coping with Congestion: Understanding the Gap Between Policy Assumptions and Behavior," University of California Transportation Center, Working Papers qt4bh3b670, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt4bh3b670
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    Cited by:

    1. Schwanen, Tim & Dieleman, Frans M. & Dijst, Martin, 2002. "The impact of metropolitan structure on commute behavior in the Netherlands: a multilevel approach," ERSA conference papers ersa02p069, European Regional Science Association.
    2. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "How do individuals adapt their personal travel? A conceptual exploration of the consideration of travel-related strategies," Transport Policy, Elsevier, vol. 12(3), pages 199-206, May.
    3. Páez, Antonio & Whalen, Kate, 2010. "Enjoyment of commute: A comparison of different transportation modes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(7), pages 537-549, August.
    4. Collantes, Gustavo O. & Mokhtarian, Patricia L., 2003. "Telecommuting and Residential Location: Relationships with Commute Distance Traveled for State of California Workers," Institute of Transportation Studies, Working Paper Series qt9pg4w5fs, Institute of Transportation Studies, UC Davis.
    5. Mokhtarian, Patricia L. & Raney, Elizabeth A. & Salomon, Ilan, 1997. "Behavioral response to congestion: identifying patterns and socio-economic differences in adoption," Transport Policy, Elsevier, vol. 4(3), pages 147-160, July.
    6. Sangho Choo & Patricia Mokhtarian, 2008. "How do people respond to congestion mitigation policies? A multivariate probit model of the individual consideration of three travel-related strategy bundles," Transportation, Springer, vol. 35(2), pages 145-163, March.
    7. Redmond, Lothlorien, 2000. "Identifying and Analyzing Travel-Related Attitudinal, Personality, and Lifestyle Clusters in the San Francisco Bay Area," Institute of Transportation Studies, Working Paper Series qt0317h7v4, Institute of Transportation Studies, UC Davis.
    8. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2019. "A Study of Tourists’ Holiday Rush-Hour Avoidance Travel Behavior Considering Psychographic Segmentation," Sustainability, MDPI, vol. 11(13), pages 1-20, July.
    9. Mondschein, Andrew & Taylor, Brian D., 2017. "Is traffic congestion overrated? Examining the highly variable effects of congestion on travel and accessibility," Journal of Transport Geography, Elsevier, vol. 64(C), pages 65-76.
    10. Schwanen, Tim & Dijst, Martin, 2002. "Travel-time ratios for visits to the workplace: the relationship between commuting time and work duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 573-592, August.
    11. Whalen, Kate E. & Páez, Antonio & Carrasco, Juan A., 2013. "Mode choice of university students commuting to school and the role of active travel," Journal of Transport Geography, Elsevier, vol. 31(C), pages 132-142.
    12. Irene Casas & Mei‐Po Kwan, 2007. "The Impact of Real‐Time Information on Choices During the Commute Trip: Evidence from a Travel Simulator," Growth and Change, Wiley Blackwell, vol. 38(4), pages 523-543, December.
    13. Haiyan Zhu & Hongzhi Guan & Yan Han & Wanying Li, 2022. "Study on Peak Travel Avoidance Behavior of Car Travelers during Holidays," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    14. Edoardo Marcucci, 1999. "Road Pricing: Old Beliefs, Present Awareness and Future Research Patterns," Working Papers 1999.4, Fondazione Eni Enrico Mattei.
    15. Catherine Morency, 2007. "The ambivalence of ridesharing," Transportation, Springer, vol. 34(2), pages 239-253, March.
    16. Mokhtarian, Patricia L. & Ye, Liang & Yun, Meiping, 2010. "The Effects of Gender on Commuter Behavior Changes in the Context of a Major Freeway Construction," Institute of Transportation Studies, Working Paper Series qt86c4v6cr, Institute of Transportation Studies, UC Davis.
    17. Lothlorien Redmond & Patricia Mokhtarian, 2001. "The positive utility of the commute: modeling ideal commute time and relative desired commute amount," Transportation, Springer, vol. 28(2), pages 179-205, May.
    18. Jain, Juliet & Lyons, Glenn, 2008. "The gift of travel time," Journal of Transport Geography, Elsevier, vol. 16(2), pages 81-89.
    19. Cao, Xinyu & Mokhtarian, Patricia 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, Elsevier, vol. 12(4), pages 291-302, July.
    20. Mamman, Aminu & Bawole, Justice & Agbebi, Motolani & Alhassan, Abdul-Razak, 2019. "SME policy formulation and implementation in Africa: Unpacking assumptions as opportunity for research direction," Journal of Business Research, Elsevier, vol. 97(C), pages 304-315.
    21. Choo, Sangho & Mokhtarian, Patricia L, 2004. "Modeling the Individual Consideration of Travel-Related Strategy Bundles," Institute of Transportation Studies, Working Paper Series qt3123v46c, Institute of Transportation Studies, UC Davis.
    22. Taylor, Brian & Osman, Taner & Thomas, Trevor & Mondschein, Andrew, 2016. "Not So Fast: A Study of Traffic Delays, Access, and Economic Activity in the San Francisco Bay Area," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9qf2481r, Institute of Transportation Studies, UC Berkeley.

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