IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v33y2014icp96-109.html
   My bibliography  Save this article

Detecting and improving public-transit connectivity with case studies of two world sport events

Author

Listed:
  • Ceder, Avishai (Avi)
  • Perera, Supun

Abstract

Improving public-transit (PT) connectivity is one of the most vital tasks in transit-operations planning. A poor connection can cause some passengers to stop using the transit service. Service-design criteria always contain postulates to improve routing and scheduling coordination (intra- and inter-agency transfer centers/points and synchronized/timed transfers). However, ostensibly the lack of well-defined connectivity measures precludes the weighing and quantifying of the result of any coordination effort, and thus makes it difficult for the decision makers to draw any firm conclusion. This work provides an initial methodological framework, concepts and tools for detecting weak segments in inter-route and inter-modal chains (paths) for possible revisions/changes. The approach used is based on a description of PT connectivity network involved with attributes and passenger flows. Formulations are developed to detect weak segments of the PT network, and the max-flow algorithm is utilized to find out the locations of the bottlenecks within this network. Two case studies are presented of two major cities undergoing two major sporting events; the city of London in the United Kingdom hosting the XXX Olympic Games in 2012 and the city of Auckland in New Zealand that hosted the 7th Rugby World Cup (RWC) in 2011. These cities are used to offer a comparison of the bottlenecks in their PT networks. The results indicate that in the City of London, the PT lines of Tube (Bakerloo), Rail (London Euston) and Bus (Route 18) leading to the Wembley Stadium Station are the bottlenecks and in the City of Auckland, the bottlenecks are the PT lines of Bus (Routes 212–249) and Rail (Western Line) leading to the Eden Park Stadium. It is evident that improving the capacity and accessibility of these lines will increase the maximum flow (throughput) to their respective sport stadiums. Overall, the PT connectivity measures help to detect the weakest arc, path or node in comparison with other identified arcs, paths, or nodes within the PT network. These tools can assist decision makers in planning for future PT improvements.

Suggested Citation

  • Ceder, Avishai (Avi) & Perera, Supun, 2014. "Detecting and improving public-transit connectivity with case studies of two world sport events," Transport Policy, Elsevier, vol. 33(C), pages 96-109.
    • Handle: RePEc:eee:trapol:v:33:y:2014:i:c:p:96-109
    DOI: 10.1016/j.tranpol.2014.03.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X14000663
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2014.03.001?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Reserve Bank of New Zealand, 2010. "For the record," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 73, pages 47-58, September.
    2. Ceder, Avishai & Chowdhury, Subeh & Taghipouran, Nima & Olsen, Jared, 2013. "Modelling public-transport users’ behaviour at connection point," Transport Policy, Elsevier, vol. 27(C), pages 112-122.
    3. Ceder, A. & Golany, B. & Tal, O., 2001. "Creating bus timetables with maximal synchronization," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(10), pages 913-928, December.
    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. Omar J. Ibarra-Rojas & Fernando López-Irarragorri & Yasmin A. Rios-Solis, 2016. "Multiperiod Bus Timetabling," Transportation Science, INFORMS, vol. 50(3), pages 805-822, August.
    2. Lu, Xiao-Yun & Gosling, Geoffrey D. & Shladover, Steven E. & Xiong, Jing & Ceder, Avi, 2006. "Development of a Modeling Framework for Analyzing Improvements in Intermodal Connectivity at California Airports," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt586755r9, Institute of Transportation Studies, UC Berkeley.
    3. 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.
    4. Oliver Ullrich & Daniel Lückerath & Ewald Speckenmeyer, 2016. "Do regular timetables help to reduce delays in tram networks? It depends!," Public Transport, Springer, vol. 8(1), pages 39-56, March.
    5. 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).
    6. Hanne L. Petersen & Allan Larsen & Oli B. G. Madsen & Bjørn Petersen & Stefan Ropke, 2013. "The Simultaneous Vehicle Scheduling and Passenger Service Problem," Transportation Science, INFORMS, vol. 47(4), pages 603-616, November.
    7. Chang, Yu-Hern & Yeh, Chung-Hsing, 2016. "Managing corporate social responsibility strategies of airports: The case of Taiwan’s Taoyuan International Airport Corporation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 338-348.
    8. Dixon, Keith, 2013. "Growth and dispersion of accounting research about New Zealand before and during a National Research Assessment Exercise: Five decades of academic journals bibliometrics," MPRA Paper 51100, University Library of Munich, Germany.
    9. Chowdhury, Subeh & Ceder, Avishai (Avi) & Schwalger, Bradley, 2015. "The effects of travel time and cost savings on commuters’ decision to travel on public transport routes involving transfers," Journal of Transport Geography, Elsevier, vol. 43(C), pages 151-159.
    10. Chowdhury, Subeh & Ceder, Avishai (Avi), 2016. "Users’ willingness to ride an integrated public-transport service: A literature review," Transport Policy, Elsevier, vol. 48(C), pages 183-195.
    11. Guihaire, Valérie & Hao, Jin-Kao, 2008. "Transit network design and scheduling: A global review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(10), pages 1251-1273, December.
    12. Hadas, Yuval & Ranjitkar, Prakash, 2012. "Modeling public-transit connectivity with spatial quality-of-transfer measurements," Journal of Transport Geography, Elsevier, vol. 22(C), pages 137-147.
    13. Mizuyo Takamatsu & Azuma Taguchi, 2020. "Bus Timetable Design to Ensure Smooth Transfers in Areas with Low-Frequency Public Transportation Services," Transportation Science, INFORMS, vol. 54(5), pages 1238-1250, September.
    14. Pan Shang & Yu Yao & Liya Yang & Lingyun Meng & Pengli Mo, 2021. "Integrated Model for Timetabling and Circulation Planning on an Urban Rail Transit Line: a Coupled Network-Based Flow Formulation," Networks and Spatial Economics, Springer, vol. 21(2), pages 331-364, June.
    15. Garcia-Martinez, Andres & Cascajo, Rocio & Jara-Diaz, Sergio R. & Chowdhury, Subeh & Monzon, Andres, 2018. "Transfer penalties in multimodal public transport networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 52-66.
    16. 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.
    17. Guo, Xin & Sun, Huijun & Wu, Jianjun & Jin, Jiangang & Zhou, Jin & Gao, Ziyou, 2017. "Multiperiod-based timetable optimization for metro transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 46-67.
    18. Wu, Jiaming & Kulcsár, Balázs & Selpi, & Qu, Xiaobo, 2021. "A modular, adaptive, and autonomous transit system (MAATS): A in-motion transfer strategy and performance evaluation in urban grid transit networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 81-98.
    19. Cortés, Cristián E. & Gil, Cristiam & Gschwender, Antonio & Rey, Pablo A., 2023. "The bus synchronization timetabling problem with dwelling times," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    20. Celik, Erkan & Bilisik, Ozge Nalan & Erdogan, Melike & Gumus, Alev Taskin & Baracli, Hayri, 2013. "An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 28-51.

    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:eee:trapol:v:33:y:2014:i:c:p:96-109. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.