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Socio-economic Attributes And Impacts Of Travel Reliability: A Stated Preference Approach

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  • Small, K.
  • Noland, R.
  • Koskenoja, P.

Abstract

This report examines the behavioral reactions to the impact of changes in the probability of a non-recurrent incident and how this affects the expected costs of a commute trip. The basic approach combines the estimation of a travel demand model with a supply side model of a congested highway. Various socio-economic variables, including a detailed classification of occupational groupings, are also examined. The tasks are accomplished through a theoretical model of scheduling choice in the face of uncertain travel times, and through a survey of commuters in the Los Angeles region.

Suggested Citation

  • Small, K. & Noland, R. & Koskenoja, P., 1995. "Socio-economic Attributes And Impacts Of Travel Reliability: A Stated Preference Approach," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt82n2w53k, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt82n2w53k
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    References listed on IDEAS

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    Cited by:

    1. Carrion, Carlos & Levinson, David, 2012. "Value of travel time reliability: A review of current evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 720-741.
    2. A. de Palma & F. Marchal, 2001. "Implementation of a Dynamic Traffic Simulator to the Paris Area," THEMA Working Papers 2001-17, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Yin-Yen Tseng, 2004. "A meta-analysis of travel time reliability," ERSA conference papers ersa04p415, European Regional Science Association.
    4. Noland, Robert B., 1997. "Commuter Responses to Travel Time Uncertainty under Congested Conditions: Expected Costs and the Provision of Information," Journal of Urban Economics, Elsevier, vol. 41(3), pages 377-406, May.
    5. Levinson, David & Zhang, Lei, 2006. "Ramp meters on trial: Evidence from the Twin Cities metering holiday," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 810-828, December.
    6. Obaidat, Mohammed T., 2006. "Industry Issue Paper: GIS Potential in Management of Pedestrian Accidents in Developing Countries," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 45(1).
    7. Thorhauge, Mikkel & Cherchi, Elisabetta & Rich, Jeppe, 2016. "How flexible is flexible? Accounting for the effect of rescheduling possibilities in choice of departure time for work trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 177-193.
    8. Berdica, Katja, 2002. "An introduction to road vulnerability: what has been done, is done and should be done," Transport Policy, Elsevier, vol. 9(2), pages 117-127, April.
    9. Soza-Parra, Jaime & Raveau, Sebastián & Muñoz, Juan Carlos, 2021. "Travel preferences of public transport users under uneven headways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 61-75.
    10. Noland, Robert B. & Small, Kenneth A. & Koskenoja, Pia Maria & Chu, Xuehao, 1998. "Simulating travel reliability," Regional Science and Urban Economics, Elsevier, vol. 28(5), pages 535-564, September.
    11. Arnott, Richard & Rowse, John, 1999. "Modeling Parking," Journal of Urban Economics, Elsevier, vol. 45(1), pages 97-124, January.
    12. Wang, Qian & Sundberg, Marcus & Karlström, Anders, 2013. "On the other half of the story: allowing for discrete penalties for excessive travel times in scheduling models," Working papers in Transport Economics 2013:15, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    13. Zhaoqi Zang & Xiangdong Xu & Kai Qu & Ruiya Chen & Anthony Chen, 2022. "Travel time reliability in transportation networks: A review of methodological developments," Papers 2206.12696, arXiv.org, revised Jul 2022.
    14. Lei Zhang & David Levinson, 2006. "Determinants of Route Choice and the Value of Traveler Information," Working Papers 200808, University of Minnesota: Nexus Research Group.

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