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Poisson analysis of commuter flexibility in changing routes and departure times

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  • Mannering, Fred L.

Abstract

This paper investigates the determinants of commuter flexibility in changing routes and departure times for the morning trip to work. A sample of commuters in a congested metropolitan area is used to estimate Poisson regressions of how often commuters change routes and departure times per month. The estimation results provide valuable insight into the effects of traffic system and socioeconomic conditions on the frequency of route and departure time changes. The results also have significant implications for real-time traffic information systems and future research on the route and departure time choice decision-making process.

Suggested Citation

  • Mannering, Fred L., 1989. "Poisson analysis of commuter flexibility in changing routes and departure times," Transportation Research Part B: Methodological, Elsevier, vol. 23(1), pages 53-60, February.
    • Handle: RePEc:eee:transb:v:23:y:1989:i:1:p:53-60
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    1. 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.
    2. Mikkel Thorhauge & Akshay Vij & Elisabetta Cherchi, 2021. "Heterogeneity in departure time preferences, flexibility and schedule constraints," Transportation, Springer, vol. 48(4), pages 1865-1893, August.
    3. Bhat, Chandra R. & Steed, Jennifer L., 2002. "A continuous-time model of departure time choice for urban shopping trips," Transportation Research Part B: Methodological, Elsevier, vol. 36(3), pages 207-224, March.
    4. Khattak, Asad & Kanafani, Adib & Le Colletter, Emmanuel, 1994. "Stated And Reported Route Diversion Behavior: Implications On The Benefits Of ATIS," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4fz4h20k, Institute of Transportation Studies, UC Berkeley.
    5. Khattak, Asad & Al-deek, Haitham & Thananjeyan, Paramsothy, 1994. "A Combined Traveler Behavior And System Performance Model With ATIS," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt26m3r4s0, Institute of Transportation Studies, UC Berkeley.
    6. André De Palma & Cédric Fontan & Asad J. Khattak, 2004. "Analyzing work departure time variability in Brussels," Reflets et perspectives de la vie économique, De Boeck Université, vol. 0(4), pages 89-110.
    7. Richard H. M. Emmerink & Paul van Beek, 1997. "Empirical Analysis of Work Schedule Flexibility: Implications for Road Pricing and Driver Information Systems," Urban Studies, Urban Studies Journal Limited, vol. 34(2), pages 217-234, February.
    8. Malchow, M. & Kanafani, A. & Varaiya, P., 1996. "The Economics Of Traffic Information: A State-of-the-art Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6bj9g732, Institute of Transportation Studies, UC Berkeley.
    9. Lizana, Pedro & Ortúzar, Juan de Dios & Arellana, Julián & Rizzi, Luis I., 2021. "Forecasting with a joint mode/time-of-day choice model based on combined RP and SC data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 302-316.
    10. Wei Nai & Zan Yang & Dan Li & Lu Liu & Yuting Fu & Yuao Guo, 2024. "Urban Day-to-Day Travel and Its Development in an Information Environment: A Review," Sustainability, MDPI, vol. 16(6), pages 1-29, March.
    11. Bhat, Chandra R., 1998. "Accommodating flexible substitution patterns in multi-dimensional choice modeling: formulation and application to travel mode and departure time choice," Transportation Research Part B: Methodological, Elsevier, vol. 32(7), pages 455-466, September.
    12. Saleh, Wafaa & Farrell, Séona, 2005. "Implications of congestion charging for departure time choice: Work and non-work schedule flexibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 773-791.
    13. Sinuany-Stern, Z. & Stern, E. & Sfaradi, Z. & Holm, E., 1997. "The effect of information on commuters' behavior: A comparative micro-simulation approach," European Journal of Operational Research, Elsevier, vol. 96(3), pages 455-470, February.
    14. Bhat, Chandra R., 1998. "Analysis of travel mode and departure time choice for urban shopping trips," Transportation Research Part B: Methodological, Elsevier, vol. 32(6), pages 361-371, August.
    15. Al-Deek, Haitham M. & Khattak, Asad J. & Thananjeyan, Paramsothy, 1998. "A combined traveler behavior and system performance model with advanced traveler information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(7), pages 479-493, September.
    16. Timmermans, Harry & van der Waerden, Peter & Alves, Mario & Polak, John & Ellis, Scott & Harvey, Andrew S. & Kurose, Shigeyuki & Zandee, Rianne, 2002. "Time allocation in urban and transport settings: an international, inter-urban perspective," Transport Policy, Elsevier, vol. 9(2), pages 79-93, April.
    17. Khattak, Asad J. & De Palma, André, 1997. "The impact of adverse weather conditions on the propensity to change travel decisions: A survey of Brussels commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(3), pages 181-203, May.

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