IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0193855.html
   My bibliography  Save this article

Design of limited-stop service based on the degree of unbalance of passenger demand

Author

Listed:
  • Hu Zhang
  • Shuzhi Zhao
  • Huasheng Liu
  • Shidong Liang

Abstract

This paper presents a limited-stop service for a bus fleet to meet the unbalanced demand of passengers on a bus route and to improve the transit service of the bus route. This strategy includes two parts: a degree assessment of unbalanced passenger demand and an optimization of the limited-stop service. The degree assessment of unbalanced passenger demand, which is based on the different passenger demand between stations and the unbalance of passengers within the station, is used to judge whether implementing the limited-stop service is necessary for a bus route. The optimization of limited-stop service considers the influence of stop skipping action and bus capacity on the left-over passengers to determine the proper skipping stations for the bus fleet serving the entire route by minimizing both the waiting time and in-vehicle time of passengers and the running time of vehicles. A solution algorithm based on genetic algorithm is also presented to evaluate the degree of unbalanced passenger demand and optimize the limited-stop scheme. Then, the proper strategy is tested on a bus route in Changchun city of China. The threshold of degree assessment of unbalanced passenger demand can be calibrated and adapted to different passenger demands.

Suggested Citation

  • Hu Zhang & Shuzhi Zhao & Huasheng Liu & Shidong Liang, 2018. "Design of limited-stop service based on the degree of unbalance of passenger demand," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-20, March.
  • Handle: RePEc:plo:pone00:0193855
    DOI: 10.1371/journal.pone.0193855
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0193855
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0193855&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0193855?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yu, Bin & Yang, Zhongzhen & Li, Shan, 2012. "Real-time partway deadheading strategy based on transit service reliability assessment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1265-1279.
    2. Chen, Jingxu & Liu, Zhiyuan & Zhu, Senlai & Wang, Wei, 2015. "Design of limited-stop bus service with capacity constraint and stochastic travel time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 1-15.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dalong Li & Benxing Liu & Fangtong Jiao & Ziwen Song & Pengsheng Zhao & Xiaoqing Wang & Feng Sun, 2022. "Optimization Method of Combined Multi-Mode Bus Scheduling under Unbalanced Conditions," Sustainability, MDPI, vol. 14(23), pages 1-17, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wu, Weitiao & Liu, Ronghui & Jin, Wenzhou & Ma, Changxi, 2019. "Simulation-based robust optimization of limited-stop bus service with vehicle overtaking and dynamics: A response surface methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 61-81.
    2. Chen, Jingxu & Wang, Shuaian & Liu, Zhiyuan & Guo, Yanyong, 2018. "Network-based optimization modeling of manhole setting for pipeline transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 38-55.
    3. Zhang, Jiyu & Ge, Ying-En & Tang, Chunyan & Zhong, Meisu, 2024. "Optimising modular-autonomous-vehicle transit service employing coupling–decoupling operations plus skip-stop strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    4. Seda Yanık & Salim Yılmaz, 2023. "Optimal design of a bus route with short-turn services," Public Transport, Springer, vol. 15(1), pages 169-197, March.
    5. Xu, Xin-yue & Liu, Jun & Li, Hai-ying & Jiang, Man, 2016. "Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 130-148.
    6. Chengli Cong & Xuan Li & Shiwei Yang & Quan Zhang & Lili Lu & Yang Shi, 2022. "Impact Estimation of Unplanned Urban Rail Disruptions on Public Transport Passengers: A Multi-Agent Based Simulation Approach," IJERPH, MDPI, vol. 19(15), pages 1-25, July.
    7. Zheng, Hankun & Sun, Huijun & Kang, Liujiang & Dai, Peiling & Wu, Jianjun, 2023. "Multi-route coordination for bus systems in response to road disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    8. Hongguo Ren & Zhenbao Wang & Yanyan Chen, 2020. "Optimal Express Bus Routes Design with Limited-Stop Services for Long-Distance Commuters," Sustainability, MDPI, vol. 12(4), pages 1-14, February.
    9. Wang, Wensi & Yu, Bin & Zhou, Yu, 2024. "A real-time synchronous dispatching and recharging strategy for multi-line electric bus systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    10. Yu, Bin & Zhu, Hanbing & Cai, Wanjun & Ma, Ning & Kuang, Qiji & Yao, Baozhen, 2013. "Two-phase optimization approach to transit hub location – the case of Dalian," Journal of Transport Geography, Elsevier, vol. 33(C), pages 62-71.
    11. Zhou, Chang & Tian, Qiong & Wang, David Z.W., 2022. "A novel control strategy in mitigating bus bunching: Utilizing real-time information," Transport Policy, Elsevier, vol. 123(C), pages 1-13.
    12. Qingyun Tian & Yun Hui Lin & David Z. W. Wang, 2021. "Autonomous and conventional bus fleet optimization for fixed-route operations considering demand uncertainty," Transportation, Springer, vol. 48(5), pages 2735-2763, October.
    13. Mohammad Sadrani & Ahmad Reza Jafarian-Moghaddam & Mohsen Aboutalebi Esfahani & Amir Masoud Rahimi, 2023. "Designing limited-stop bus services for minimizing operator and user costs under crowding conditions," Public Transport, Springer, vol. 15(1), pages 97-128, March.
    14. Chunyan Tang & Avishai Ceder & Ying-En Ge, 2018. "Optimal public-transport operational strategies to reduce cost and vehicle’s emission," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-17, August.
    15. Yinfei Feng & Zhichao Cao & Silin Zhang, 2022. "Shuttle Bus Timetable Adjustment in Response to Behind-Schedule Commuter Railway Disturbance," Sustainability, MDPI, vol. 14(24), pages 1-24, December.
    16. Dai, Zhuang & Liu, Xiaoyue Cathy & Chen, Zhuo & Guo, Renyong & Ma, Xiaolei, 2019. "A predictive headway-based bus-holding strategy with dynamic control point selection: A cooperative game theory approach," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 29-51.
    17. Weiya Chen & Ying Chen & Yufen Wang & Xiaoping Fang, 2024. "Bus Drivers’ Behavioral Intention to Comply with Real-Time Control Instructions: An Empirical Study from China," Sustainability, MDPI, vol. 16(9), pages 1-23, April.
    18. Sunhyung Yoo & Jinwoo Brian Lee & Hoon Han, 2023. "A Reinforcement Learning approach for bus network design and frequency setting optimisation," Public Transport, Springer, vol. 15(2), pages 503-534, June.
    19. Huang, Di & Liu, Zhiyuan & Liu, Pan & Chen, Jun, 2016. "Optimal transit fare and service frequency of a nonlinear origin-destination based fare structure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 96(C), pages 1-19.
    20. Chu, James C. & Korsesthakarn, Kanticha & Hsu, Yu-Ting & Wu, Hua-Yen, 2019. "Models and a solution algorithm for planning transfer synchronization of bus timetables," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 247-266.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0193855. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.