Charging strategy of park-and-ride facilities with consideration to ride-sharing incentive and heterogeneous cost-sharing proportion

XU Hongli, YU Jing, XU Wei, ZHANG Kaiji

Systems Engineering - Theory & Practice ›› 2023, Vol. 43 ›› Issue (4) : 1220-1231.

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Systems Engineering - Theory & Practice ›› 2023, Vol. 43 ›› Issue (4) : 1220-1231. DOI: 10.12011/SETP2021-2255

Charging strategy of park-and-ride facilities with consideration to ride-sharing incentive and heterogeneous cost-sharing proportion

  • XU Hongli, YU Jing, XU Wei, ZHANG Kaiji
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Abstract

This paper investigated the traffic assignment problem and parking pricing for a single origin-destination network ride-sharing incentive and heterogeneous cost-sharing proportion. Firstly, a traffic assignment model was established with consideration to heterogeneous sharing proportion of ride-sharing costs, the success rate of ride-sharing matching, bus congestion effect and road congestion effect. Then, a parking strategy was proposed to encourage ride-sharing as well as park-and-ride. Numerical results shown that the sharing proportion of ride-sharing cost affects the matching success rate of drivers and passengers. When the matching success rate is low, the expected travel cost of both sides will be very high. As a result, travelers' willingness to ride-sharing is reduced or even have no intention to participate in riding-sharing. In addition, the introduction of ride sharing is win-win for the travelers and efficiency of the connecting system. Reasonable parking fees and ride sharing incentives could significantly increase travelers' willingness to participate in ride sharing, increase the number of successful ride-sharing matching, and improve the system efficiency.

Key words

ride-sharing incentive / user equilibrium / park charging / heterogeneous users

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XU Hongli , YU Jing , XU Wei , ZHANG Kaiji. Charging strategy of park-and-ride facilities with consideration to ride-sharing incentive and heterogeneous cost-sharing proportion. Systems Engineering - Theory & Practice, 2023, 43(4): 1220-1231 https://doi.org/10.12011/SETP2021-2255

References

[1] Furuhata M, Dessouky M, Ordóñez F, et al. Ridesharing: The state-of-the-art and future directions[J]. Transportation Research Part B: Methodological, 2013, 57: 28-46.
[2] Shalieen S A, Chan N D, Gaynor T. Casual carpooling in the San Francisco Bay area: Understanding user characteristics, behaviors and motivations[J]. Transport Policy, 2016, 51: 165-173.
[3] Liu X, Titheridge H, Yan X, et al. A passenger-to-driver matching model for commuter carpooling: Case study and sensitivity analysis[J]. Transportation Research Part C, 2020, 117: 102702.
[4] Wang X, Yang H, Zhu D. Driver-rider cost-sharing strategies and equilibria in a ridesharing program[J]. Transportation Science, 2018, 52(4): 868-881.
[5] Liu W, Geroliminis N. Doubly dynamics for multi-modal networks with park-and-ride and adaptive pricing[J]. Transportation Research Part B: Methodological, 2017, 102: 162-179.
[6] Bian Z, Liu X. Mechanism design for first-mile ridesharing based on personalized requirements part I: Theoretical analysis in generalized scenarios[J]. Transportation Research Part B, 2019, 120: 147-171.
[7] 谭卫民, 龙建成, 卢晓珊, 等. 考虑用户体验的动态共乘系统设计[J]. 系统工程理论与实践, 2020, 40(1): 210-218.Tan W M, Long J C, Lu X S, et al. A dynamic ride-sharing system based on user experience[J]. Systems Engineering — Theory & Practice, 2020, 40(1) : 210-218.
[8] 葛颖恩, 陈志建, 张鹏. 共享交通的运营与管理综述[J]. 上海大学学报(自然科学版), 2020, 26(3): 311-327.Ge Y E, Chen Z J, Zhang P. A review of operations and management of shared mobility[J]. Journal of Shanghai University (Natural Science Edition), 2020, 26(3): 311-327.
[9] 赵顺晶, 龙建成,丁建勋,等. 两种经营模式下通勤廊道停车换乘选址及停车费用优化[J]. 系统工程理论与实践, 2018, 38(3): 734-742.Zhao S J, Long J C, Ding J X, et al. Optimal location and parking fee of park and ride facilities in a commute corridor under two operating modes[J]. Systems Engineering — Theory & Practice, 2018, 38(3): 734-742.
[10] Ma R, Zhang H M. The morning commute problem with ridesharing and dynamic parking charges[J]. Transportation Research Part B, 2017, 106: 345-374.
[11] 卢晓珊, 黄海军, 刘天亮, 等. 考虑早晚高峰出行链的出行方式选择均衡与定价机制[J]. 系统工程理论与实践, 2013, 33(1): 167-174.Lu X S, Huang H J, Liu T L, et al. Mode choice equilibrium and pricing mechanisms considering peak trip chain[J]. Systems Engineering — Theory & Practice, 2013, 33(1): 167-174.
[12] Pineda C, Cortés C E, Jara-Moroni P, et al. Integrated traffic-transit stochastic equilibrium model with park-and-ride facilities[J]. Transportation Research, 2016, 71: 86-107.
[13] Song Z, He Y, Zhang L. Integrated planning of park-and-ride facilities and transit service[J]. Transportation Research Part C, 2017, 74: 182-195.
[14] Liu W, Geroliminis N. Doubly dynamics for multi-modal networks with park-and-ride and adaptive pricing[J]. Transportation Research Part B, 2017, 102: 162-179.
[15] Zhang J, Wang D Z W, Meng M. Which service is better on a linear travel corridor: Park & ride or on-demand public bus?[J]. Transportation Research Part A: Policy and Practice, 2018, 118: 803-818.
[16] Huang Z, Long J, Szeto W Y, et al. Modeling and managing the morning commute problem with park-and-ride-sharing[J]. Transportation Research Part B, 2021, 150: 190-226.
[17] Wong Y Z, Hensher D A, Mulley C. Mobility as a service (MaaS): Charting a future context[J]. Transportation Research Part A, 2020, 131: 5-19.
[18] Merkert R, Bushell J, Beck M J. Collaboration as a service (CaaS) to fully integrate public transportation–lessons from long distance travel to reimagine Mobility as a Service[J]. Transportation Research Part A: Policy and Practice, 2020, 131: 267-282.
[19] Qin F. Investigating the in-vehicle crowding cost functions for public transit modes[J]. Mathematical Problems in Engineering, 2014(31): 1-13.
[20] Harker P T, Pang J S. Finite-dimensional variational inequality and nonlinear complementarity problems: A survey of theory, algorithms and applications[J]. Mathematical Programming, 1990, 48(2): 161-220.
[21] Yin Y, Lawphongpanich S. Internalizing emission externality on road networks[J]. Transportation Research Part D, 2006, 11(4): 292-301.

Funding

National Natural Science Foundation of China (72271117, 72171114)
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