交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (3): 56-65.DOI: 10.16097/j.cnki.1009-6744.2023.03.007

• 交通运输业高质量发展策略 • 上一篇    下一篇

基于用户均衡的双模式接驳公交一体化布局优化

陈坚*1,李兆康1,周涛2,刘柯良1,3,孙琴梅2   

  1. 1.重庆交通大学,交通运输学院,重庆400074;2.重庆市交通规划研究院,重庆401147;3.东南大学,江苏省现代城市交通技术江苏高校协同创新中心,南京211189
  • 收稿日期:2023-03-26 修回日期:2023-05-11 接受日期:2023-05-18 出版日期:2023-06-25 发布日期:2023-06-22
  • 作者简介:陈坚(1985-),男,江西赣州人,教授,博士
  • 基金资助:
    重庆市规划与自然资源局科研项日 (KJ-2022009); 重庆市技术创新与应用发展专项重点项目 (CSTB2022TIAD-KPX0195)

Optimizing Integrated Layout of Bi-modal Feeder Buses Based on User Equilibrium

CHEN Jian*1, LI Zhao-kang1, ZHOU Tao2, LIU Ke-liang1,3, SUN Qin-mei2   

  1. 1. School of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China; 2. Chongqing Transport Planning Institute, Chongqing 401147, China; 3. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
  • Received:2023-03-26 Revised:2023-05-11 Accepted:2023-05-18 Online:2023-06-25 Published:2023-06-22
  • Supported by:
    Chongqing Municipal Bureau of Planning and Natural Resources Science Project (KJ-2022009);Chongqing Municipal Special Key Project for Technological Innovation and Application Development(CSTB2022TIAD-KPX0195)

摘要: 接驳公交是城市公共交通系统的重要部分,用于解决轨道交通乘客“最后一公里”出行难题。针对固定线路接驳公交中边缘地区乘客步行前往公交站时间较长的问题,提出在固定线路公交服务范围边缘处布置需求响应公交,从而实现双模式接驳公交一体化布局。为科学且人性化地划分不同模式接驳公交的服务范围,基于用户均衡理论,提出以乘客出行时间均衡为目标的双模式接驳公交一体化布局模型;为在多个达到均衡条件的布局方案中进一步挑选出最优布局方案,建立以乘客出行时间最小为目标的优化模型,并设计遗传算法求解。最后,以重庆东站站前片区为研究案例验证模型与算法的可行性与有效性,求解结果证明双模式接驳公交一体化布局可以在不增加投入车辆数的前提下相比单一固定线路运营模式降低乘客出行时间成本32%;但需求响应模式的加入也会导致公交人均能耗上升83%。

关键词: 城市交通, 公共交通规划, 用户均衡, 接驳公交, 需求响应公交

Abstract: The feeder bus is an important component of the urban public transit system, serving as the solver of the "first/last mile" problem from/to the rail transit. In our integrated feeder bus system, demand-responsive buses are proposed to serve the peripheral areas where passengers may have long walking time to access fixed-route bus stops. In designing the integrated feeder bus system, a proper partition of the service area of different feeder bus modes was described by an analytical model that balances the travel time by different modes based on user equilibrium, and the genetic algorithm was employed to solve the travel time minimizing problem that finds out the optimal partition scheme among different equilibrium conditions. A case study based on the Chongqingdong Railway Station and its adjacent area was conducted to verify the model and the algorithm, and the results proved that the integration of bi-modal feeder buses can reduce passengers' trip time by 32% and above without deploying more vehicles comparing with the single fixed-route mode. The result also showed that the energy consumption per capita will also rise by 83% with the deployment of a demand-responsive mode.

Key words: urban traffic, public transit planning, user equilibrium, feeder bus, demand-responsive transit

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