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

被引:0
|
作者
Xu H. [1 ]
Yu J. [1 ]
Xu W. [1 ]
Zhang K. [1 ]
机构
[1] School of Management and Engineering, Nanjing University, Nanjing
基金
中国国家自然科学基金;
关键词
heterogeneous users; park charging; ride-sharing incentive; user equilibrium;
D O I
10.12011/SETP2021-2255
中图分类号
学科分类号
摘要
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. © 2023 Systems Engineering Society of China. All rights reserved.
引用
收藏
页码:1220 / 1231
页数:11
相关论文
共 21 条
  • [1] Furuhata M, Dessouky M, Ordonez F, Et al., Ridesharing: The state-of-the-art and future directions[J], Transportation Research Part B: Methodological, 57, pp. 28-46, (2013)
  • [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, 51, pp. 165-173, (2016)
  • [3] Liu X, Titheridge H, Yan X, Et al., A passenger-to-driver matching model for commuter carpooling: Case study and sensitivity analysis, Transportation Research Part C, 117, (2020)
  • [4] Wang X, Yang H, Zhu D., Driver-rider cost-sharing strategies and equilibria in a ridesharing program[J], Transportation Science, 52, 4, pp. 868-881, (2018)
  • [5] Liu W, Geroliminis N., Doubly dynamics for multi-modal networks with park-and-ride and adaptive pricing[J], Transportation Research Part B: Methodological, 102, pp. 162-179, (2017)
  • [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, 120, pp. 147-171, (2019)
  • [7] 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, 40, 1, pp. 210-218, (2020)
  • [8] 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), 26, 3, pp. 311-327, (2020)
  • [9] 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, 38, 3, pp. 734-742, (2018)
  • [10] Ma R, Zhang H M., The morning commute problem with ridesharing and dynamic parking charges[J], Transportation Research Part B, 106, pp. 345-374, (2017)