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Booking cum rationing strategy for equitable travel demand management in road networks

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  • Li, Xinwei
  • Yang, Hai
  • Ke, Jintao

Abstract

Trip booking and traffic rationing have been proposed as two alternative travel demand management (TDM) strategies over the last two decades. Through artificially restricting demand (vehicle travel) by booking or rationing the scarce road capacity during the peak periods, the negative externalities generated by travel demand over available supply or road capacity can be reduced. In many cases, the two strategies also have the main goal of reduction of air pollution. Trip booking system allows vehicles/drivers to reserve prescribed areas or some lanes/segments of freeways/roads for their use during specific time periods, thereby maintaining a certain level of service of the roadway space. It is often in the form of a permit to control the number of reservations issued. On the other hand, traffic rationing is often achieved in reality through restricting access into an urban cordoned-off area or city center based on the last digits of the license number on pre-established days and during certain periods, usually the peak hours. However, theoretical studies and practical implementation of the two strategies have been conducted separately. Taking their advantages, this paper proposes and demonstrates a novel hybrid strategy of booking cum rationing for efficient and equitable TDM. We show that the problem of interest can be simply formulated as a convenient linear programming problem in a general network. Simple examples are provided to elucidate how this hybrid strategy can achieve a traffic flow distribution pattern prescribed by the traffic planner while maintaining the fairness, efficiency, and flexibility of individual choices.

Suggested Citation

  • Li, Xinwei & Yang, Hai & Ke, Jintao, 2023. "Booking cum rationing strategy for equitable travel demand management in road networks," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 261-274.
  • Handle: RePEc:eee:transb:v:167:y:2023:i:c:p:261-274
    DOI: 10.1016/j.trb.2022.12.004
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    1. Lamotte, Raphaël & de Palma, André & Geroliminis, Nikolas, 2017. "On the use of reservation-based autonomous vehicles for demand management," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 205-227.
    2. Zhao, Y. & Triantis, K. & Teodorovic, D. & Edara, P., 2010. "A travel demand management strategy: The downtown space reservation system," European Journal of Operational Research, Elsevier, vol. 205(3), pages 584-594, September.
    3. Nie, Yu & Zhang, H. M. & Lee, Der-Horng, 2004. "Models and algorithms for the traffic assignment problem with link capacity constraints," Transportation Research Part B: Methodological, Elsevier, vol. 38(4), pages 285-312, May.
    4. Chen, Yinghao & Song, Xiaopeng & Cheng, Qixiu & An, Qinhe & Zhang, Yuan, 2021. "A cordon-based reservation system for urban traffic management," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    5. Arnott, Richard & de Palma, Andre & Lindsey, Robin, 1990. "Economics of a bottleneck," Journal of Urban Economics, Elsevier, vol. 27(1), pages 111-130, January.
    6. Praveen Edara & Dušan Teodorović & Konstantinos Triantis & Shankar Natarajan, 2011. "A simulation-based methodology to compare the performance of highway space inventory control and ramp metering control," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(7), pages 705-715, April.
    7. Chung, Younshik & Song, Taijin & Park, Jungsik, 2012. "Freeway booking policy: Public discourse and acceptability analysis," Transport Policy, Elsevier, vol. 24(C), pages 223-231.
    8. Wada, Kentaro & Akamatsu, Takashi, 2013. "A hybrid implementation mechanism of tradable network permits system which obviates path enumeration: An auction mechanism with day-to-day capacity control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 94-112.
    9. Nakamura, Katsuhiko & Kockelman, Kara Maria, 2002. "Congestion pricing and roadspace rationing: an application to the San Francisco Bay Bridge corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(5), pages 403-417, June.
    10. Daganzo, Carlos F., 1995. "A pareto optimum congestion reduction scheme," Transportation Research Part B: Methodological, Elsevier, vol. 29(2), pages 139-154, April.
    11. Wong, Jinn-Tsai, 1997. "Basic concepts for a system for advance booking for highway use," Transport Policy, Elsevier, vol. 4(2), pages 109-114, April.
    12. Yang, Hai & Bell, Michael G. H., 1997. "Traffic restraint, road pricing and network equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 31(4), pages 303-314, August.
    13. Yang, Hai & Wang, Xiaolei, 2011. "Managing network mobility with tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 580-594, March.
    14. Han, Deren & Yang, Hai & Wang, Xiaolei, 2010. "Efficiency of the plate-number-based traffic rationing in general networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 1095-1110, November.
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