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Integrated scheduling of daily work activities and morning-evening commutes with bottleneck congestion

  • Zhang, Xiaoning
  • Yang, Hai
  • Huang, Hai-Jun
  • Zhang, H. Michael

Previous analysis of bottleneck congestion and departure time choice have focused on the trade-off between queuing delay cost and early/late arrival penalty for a given work start schedule. The actual scheduling of travel and work activities may well depend on some other important factors, such as the travel cost of the after-work trip, the work duration and the utility variation of different work times. This paper attempts to link the home-to-work and work-to-home trip schedules via the work duration. The morning home-to-work and evening work-to-home travel costs are calculated by the bottleneck queuing models and each individual's work utility is determined according to his/her work start time and end time with a predetermined marginal timing utility function. Travelers make a tradeoff between travel cost minimization and stay-at-home and work utility maximization in choosing their travel and activity schedules. A discrete choice model is used to predict the dynamic evolution process and stationary distribution of individual schedule patterns. After specifying various kinds of timing utility functions with different degrees of flexibility in work hour schemes, a set of numerical experiments are conducted and some meaningful observations are made from the experiment results, particularly on the effect of flexible work hours on traffic congestion mitigation.

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Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

Volume (Year): 39 (2005)
Issue (Month): 1 (January)
Pages: 41-60

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Handle: RePEc:eee:transa:v:39:y:2005:i:1:p:41-60
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  1. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1993. "A Structural Model of Peak-Period Congestion: A Traffic Bottleneck with Elastic Demand," American Economic Review, American Economic Association, vol. 83(1), pages 161-79, March.
  2. Yang, Hai & Hai-Jun, Huang, 1997. "Analysis of the time-varying pricing of a bottleneck with elastic demand using optimal control theory," Transportation Research Part B: Methodological, Elsevier, vol. 31(6), pages 425-440, November.
  3. Kitamura, Ryuichi, 1984. "Incorporating trip chaining into analysis of destination choice," Transportation Research Part B: Methodological, Elsevier, vol. 18(1), pages 67-81, February.
  4. Henderson, J. V., 1974. "Road congestion : A reconsideration of pricing theory," Journal of Urban Economics, Elsevier, vol. 1(3), pages 346-365, July.
  5. Toshiyuki Yamamoto & Ryuichi Kitamura, 1999. "An analysis of time allocation to in-home and out-of-home discretionary activities across working days and non- working days," Transportation, Springer, vol. 26(2), pages 231-250, May.
  6. Ben-Akiva, Moshe & Cyna, Michèle & de Palma, André, 1984. "Dynamic model of peak period congestion," Transportation Research Part B: Methodological, Elsevier, vol. 18(4-5), pages 339-355.
  7. William Lam & Hai-jun Huang, 2002. "A combined activity/travel choice model for congested road networks with queues," Transportation, Springer, vol. 29(1), pages 5-29, February.
  8. Gärling, Tommy & Kwan, Mei-Po & Golledge, Reginald G., 1994. "Computational-process modelling of household activity scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 28(5), pages 355-364, October.
  9. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1990. "Economics of a bottleneck," Journal of Urban Economics, Elsevier, vol. 27(1), pages 111-130, January.
  10. Braid, Ralph M., 1996. "Peak-Load Pricing of a Transportation Route with an Unpriced Substitute," Journal of Urban Economics, Elsevier, vol. 40(2), pages 179-197, September.
  11. Wang, James Jixian, 1996. "Timing utility of daily activities and its impact on travel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(3), pages 189-206, May.
  12. Braid, Ralph M., 1989. "Uniform versus peak-load pricing of a bottleneck with elastic demand," Journal of Urban Economics, Elsevier, vol. 26(3), pages 320-327, November.
  13. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-60, May.
  14. Lam, William H. K. & Yin, Yafeng, 2001. "An activity-based time-dependent traffic assignment model," Transportation Research Part B: Methodological, Elsevier, vol. 35(6), pages 549-574, July.
  15. 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.
  16. Huang, Hai-Jun, 2002. "Pricing and logit-based mode choice models of a transit and highway system with elastic demand," European Journal of Operational Research, Elsevier, vol. 140(3), pages 562-570, August.
  17. Ram Pendyala & Toshiyuki Yamamoto & Ryuichi Kitamura, 2002. "On the formulation of time-space prisms to model constraints on personal activity-travel engagement," Transportation, Springer, vol. 29(1), pages 73-94, February.
  18. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-79, June.
  19. Ryuichi Kitamura & Cynthia Chen & Ram Pendyala & Ravi Narayanan, 2000. "Micro-simulation of daily activity-travel patterns for travel demand forecasting," Transportation, Springer, vol. 27(1), pages 25-51, February.
  20. Tabuchi Takatoshi, 1993. "Bottleneck Congestion and Modal Split," Journal of Urban Economics, Elsevier, vol. 34(3), pages 414-431, November.
  21. Konstadinos Goulias, 2002. "Multilevel analysis of daily time use and time allocation to activity types accounting for complex covariance structures using correlated random effects," Transportation, Springer, vol. 29(1), pages 31-48, February.
  22. Danielis, Romeo & Marcucci, Edoardo, 2002. "Bottleneck road congestion pricing with a competing railroad service," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(5), pages 379-388, September.
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