IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt77t6g3w4.html
   My bibliography  Save this paper

Next-Generation Transit System Design During a Revolution of Shared Mobility

Author

Listed:
  • Fan, Yueyue
  • Zhang, Yunteng

Abstract

Ideally, public transit, by moving more people using fewer vehicles, serves as a backbone of a transportation system. However, most transit systems in the United States suffer from low ridership and high operating costs, thus they provide a significantly compromised mobility service to the transportation system users. Under current transit system design principles, such as service area requirements, inefficiencies in resource use are almost inevitable. Given the opportunities brought by new mobile technology and the environment of mobility as a service, current transit system design principles need to be reevaluated and redefined to enable transit to serve as a backbone in the transportation system. In this seed-grant project, the researchers evaluated whether building an integrated multimodal public transportation system via reallocation of transit resources is financially feasible and environmentally sustainable. They also conducted an in-depth review of related literature and discussed other concerns regarding an integrated system. Based on the results from the case study and review of other recent studies, the authors draw an optimistic conclusion about an integrated service system where public and private mobility service providers coexist.

Suggested Citation

  • Fan, Yueyue & Zhang, Yunteng, 2019. "Next-Generation Transit System Design During a Revolution of Shared Mobility," Institute of Transportation Studies, Working Paper Series qt77t6g3w4, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt77t6g3w4
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/77t6g3w4.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhaomiao Guo & Yueyue Fan, 2017. "A Stochastic Multi-agent Optimization Model for Energy Infrastructure Planning under Uncertainty in An Oligopolistic Market," Networks and Spatial Economics, Springer, vol. 17(2), pages 581-609, June.
    2. Guo, Zhaomiao & Fan, Yueyue, 2017. "A Stochastic Multi-Agent Optimization Model for Energy Infrastructure Planning Under Uncertainty and Competition," Institute of Transportation Studies, Working Paper Series qt89s5s8hn, Institute of Transportation Studies, UC Davis.
    3. Yueyue Fan & Changzheng Liu, 2010. "Solving Stochastic Transportation Network Protection Problems Using the Progressive Hedging-based Method," Networks and Spatial Economics, Springer, vol. 10(2), pages 193-208, June.
    4. Nagurney, Anna, 2010. "Supply chain network design under profit maximization and oligopolistic competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 281-294, May.
    5. E. E. Osuna & G. F. Newell, 1972. "Control Strategies for an Idealized Public Transportation System," Transportation Science, INFORMS, vol. 6(1), pages 52-72, February.
    6. Dessouky, Maged & Hall, Randolph & Zhang, Lei & Singh, Ajay, 2003. "Real-time control of buses for schedule coordination at a terminal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(2), pages 145-164, February.
    Full references (including those not matched with items on IDEAS)

    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. Dávid Csercsik & László Á. Kóczy, 2017. "Efficiency and Stability in Electrical Power Transmission Networks: a Partition Function Form Approach," Networks and Spatial Economics, Springer, vol. 17(4), pages 1161-1184, December.
    2. Li, Shukai & Liu, Ronghui & Yang, Lixing & Gao, Ziyou, 2019. "Robust dynamic bus controls considering delay disturbances and passenger demand uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 88-109.
    3. Sánchez-Martínez, G.E. & Koutsopoulos, H.N. & Wilson, N.H.M., 2016. "Real-time holding control for high-frequency transit with dynamics," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 1-19.
    4. Jiamin Zhao & Maged Dessouky & Satish Bukkapatnam, 2006. "Optimal Slack Time for Schedule-Based Transit Operations," Transportation Science, INFORMS, vol. 40(4), pages 529-539, November.
    5. Wu, Weitiao & Liu, Ronghui & Jin, Wenzhou, 2016. "Designing robust schedule coordination scheme for transit networks with safety control margins," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 495-519.
    6. Pilachowski, Joshua Michael, 2009. "An Approach to Reducing Bus Bunching," University of California Transportation Center, Working Papers qt6zc5j8xg, University of California Transportation Center.
    7. Xie, Fei & Huang, Yongxi, 2018. "A multistage stochastic programming model for a multi-period strategic expansion of biofuel supply chain under evolving uncertainties," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 130-148.
    8. Yekini Shehu & Lulu Liu & Xiaolong Qin & Qiao-Li Dong, 2022. "Reflected Iterative Method for Non-Monotone Equilibrium Problems with Applications to Nash-Cournot Equilibrium Models," Networks and Spatial Economics, Springer, vol. 22(1), pages 153-180, March.
    9. Daganzo, Carlos & Anderson, Paul, 2016. "Coordinating Transit Transfers in Real Time," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt25h4r974, Institute of Transportation Studies, UC Berkeley.
    10. Gkiotsalitis, K. & Cats, O., 2021. "At-stop control measures in public transport: Literature review and research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    11. Kerstin Dächert & Sauleh Siddiqui & Javier Saez-Gallego & Steven A. Gabriel & Juan Miguel Morales, 2019. "A Bicriteria Perspective on L-Penalty Approaches – a Corrigendum to Siddiqui and Gabriel’s L-Penalty Approach for Solving MPECs," Networks and Spatial Economics, Springer, vol. 19(4), pages 1199-1214, December.
    12. Chung, Sung H. & Weaver, Robert D. & Friesz, Terry L., 2013. "Strategic response to pollution taxes in supply chain networks: Dynamic, spatial, and organizational dimensions," European Journal of Operational Research, Elsevier, vol. 231(2), pages 314-327.
    13. Wu, Weitiao & Liu, Ronghui & Jin, Wenzhou & Ma, Changxi, 2019. "Stochastic bus schedule coordination considering demand assignment and rerouting of passengers," Transportation Research Part B: Methodological, Elsevier, vol. 121(C), pages 275-303.
    14. Fan, Yingjie & Schwartz, Frank & Voß, Stefan, 2017. "Flexible supply chain planning based on variable transportation modes," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 654-666.
    15. Yu Shen & Jinhua Zhao, 2017. "Capacity constrained accessibility of high-speed rail," Transportation, Springer, vol. 44(2), pages 395-422, March.
    16. Kim, Myungseob (Edward) & Schonfeld, Paul, 2014. "Integration of conventional and flexible bus services with timed transfers," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 76-97.
    17. Sun, Yanshuo & Guo, Qianwen & Schonfeld, Paul & Li, Zhongfei, 2016. "Implications of the cost of public funds in public transit subsidization and regulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 236-250.
    18. N. Oort, 2016. "Incorporating enhanced service reliability of public transport in cost-benefit analyses," Public Transport, Springer, vol. 8(1), pages 143-160, March.
    19. Agrawal, David R. & Zhao, Weihua, 2023. "Taxing Uber," Journal of Public Economics, Elsevier, vol. 221(C).
    20. Besik, Deniz & Nagurney, Anna, 2017. "Quality in competitive fresh produce supply chains with application to farmers' markets," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 62-76.

    More about this item

    Keywords

    Engineering; Demand responsive transportation; Mobility applications; Paratransit services; Public transit; Ridership; Ridesourcing; Systems engineering;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:cdl:itsdav:qt77t6g3w4. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    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.