IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v27y2004i3p211-227.html
   My bibliography  Save this article

Optimization of bus stop locations for improving transit accessibility

Author

Listed:
  • Steven I. Chien *
  • Zhaoqiong Qin

Abstract

A mathematical model is developed in this paper to improve the accessibility of a bus service. To formulate the optimization model, a segment of a bus route is given, on which a number of demand entry points are distributed realistically. The objective total cost function (i.e. the sum of supplier and user costs) is minimized by optimizing the number and locations of stops, subject to non-additive users' value of time. A numerical example is designed to demonstrate the effectiveness of the method thus developed to optimize the bus stop location problem. The sensitivity of the total cost to various parameters (e.g. value of users' time, access speed, and demand density) and the effect of the parameters on the optimal stop locations are analyzed and discussed.

Suggested Citation

  • Steven I. Chien * & Zhaoqiong Qin, 2004. "Optimization of bus stop locations for improving transit accessibility," Transportation Planning and Technology, Taylor & Francis Journals, vol. 27(3), pages 211-227, June.
  • Handle: RePEc:taf:transp:v:27:y:2004:i:3:p:211-227
    DOI: 10.1080/0308106042000226899
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0308106042000226899
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0308106042000226899?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. George Kocur & Chris Hendrickson, 1982. "Design of Local Bus Service with Demand Equilibration," Transportation Science, INFORMS, vol. 16(2), pages 149-170, May.
    2. Julien Bramel & David Simchi-Levi, 1996. "Probabilistic Analyses and Practical Algorithms for the Vehicle Routing Problem with Time Windows," Operations Research, INFORMS, vol. 44(3), pages 501-509, June.
    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. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    2. Alessandro Vitale & Giuseppe Guido & Daniele Rogano, 2016. "A smartphone based DSS platform for assessing transit service attributes," Public Transport, Springer, vol. 8(2), pages 315-340, September.
    3. John HE Taplin & Yuchao Sun, 2020. "Optimizing bus stop locations for walking access: Stops-first design of a feeder route to enhance a residential plan," Environment and Planning B, , vol. 47(7), pages 1237-1259, September.
    4. Curtin, Kevin M. & Biba, Steve, 2011. "The Transit Route Arc-Node Service Maximization problem," European Journal of Operational Research, Elsevier, vol. 208(1), pages 46-56, January.
    5. Tirachini, Alejandro, 2014. "The economics and engineering of bus stops: Spacing, design and congestion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 37-57.
    6. Li, Zhi-Chun & Lam, William H.K. & Wong, S.C. & Sumalee, A., 2012. "Design of a rail transit line for profit maximization in a linear transportation corridor," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 50-70.
    7. Habibian, Meeghat & Kermanshah, Mohammad, 2013. "Coping with congestion: Understanding the role of simultaneous transportation demand management policies on commuters," Transport Policy, Elsevier, vol. 30(C), pages 229-237.
    8. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.
    9. José Moura & Borja Alonso & Ángel Ibeas & Francisco Ruisánchez, 2012. "A Two-Stage Urban Bus Stop Location Model," Networks and Spatial Economics, Springer, vol. 12(3), pages 403-420, September.
    10. Prasanta K. Sahu & Babak Mehran & Surya P. Mahapatra & Satish Sharma, 2021. "Spatial data analysis approach for network-wide consolidation of bus stop locations," Public Transport, Springer, vol. 13(2), pages 375-394, June.
    11. Kim, Junghwan & Lee, Bumsoo, 2019. "More than travel time: New accessibility index capturing the connectivity of transit services," Journal of Transport Geography, Elsevier, vol. 78(C), pages 8-18.
    12. Gibson, Jaime & Munizaga, Marcela A. & Schneider, Camila & Tirachini, Alejandro, 2016. "Estimating the bus user time benefits of implementing a median busway: Methodology and case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 72-82.
    13. DiJoseph, Patricia & Chien, Steven I-Jy, 2009. "Optimal Service Planning for a Sustainable Transit System," 50th Annual Transportation Research Forum, Portland, Oregon, March 16-18, 2009 207731, Transportation Research Forum.
    14. Samanta, Sutapa & Jha, Manoj K., 2011. "Modeling a rail transit alignment considering different objectives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 31-45, January.
    15. Le Minh Kieu & Ashish Bhaskar & Edward Chung, 2015. "Empirical modelling of the relationship between bus and car speeds on signalised urban networks," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(4), pages 465-482, June.
    16. Ceder, Avishai (Avi) & Butcher, Matthew & Wang, Lingli, 2015. "Optimization of bus stop placement for routes on uneven topography," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 40-61.

    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. Kim, Myungseob (Edward) & Schonfeld, Paul, 2015. "Maximizing net benefits for conventional and flexible bus services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 116-133.
    2. Chen, Yen-Liang & Yang, Hsu-Hao, 2000. "Shortest paths in traffic-light networks," Transportation Research Part B: Methodological, Elsevier, vol. 34(4), pages 241-253, May.
    3. Bing-Zheng Liu & Ying-En Ge & Kai Cao & Xi Jiang & Lingyun Meng & Ding Liu & Yunfeng Gao, 2017. "Optimizing a desirable fare structure for a bus-subway corridor," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-21, October.
    4. Badia, Hugo & Jenelius, Erik, 2021. "Design and operation of feeder systems in the era of automated and electric buses," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 146-172.
    5. Braysy, Olli & Hasle, Geir & Dullaert, Wout, 2004. "A multi-start local search algorithm for the vehicle routing problem with time windows," European Journal of Operational Research, Elsevier, vol. 159(3), pages 586-605, December.
    6. Jian Yang & Patrick Jaillet & Hani Mahmassani, 2004. "Real-Time Multivehicle Truckload Pickup and Delivery Problems," Transportation Science, INFORMS, vol. 38(2), pages 135-148, May.
    7. Ying Zhou & Hong Kim & Paul Schonfeld & Eungcheol Kim, 2008. "Subsidies and welfare maximization tradeoffs in bus transit systems," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(3), pages 643-660, September.
    8. Chen, Peng (Will) & Nie, Yu (Marco), 2018. "Optimal design of demand adaptive paired-line hybrid transit: Case of radial route structure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 71-89.
    9. Andrés Fielbaum & Sergio Jara-Díaz & Antonio Gschwender, 2018. "Transit Line Structures in a General Parametric City: The Role of Heuristics," Transportation Science, INFORMS, vol. 52(5), pages 1092-1105, October.
    10. Fielbaum, Andrés & Jara-Diaz, Sergio & Gschwender, Antonio, 2020. "Beyond the Mohring effect: Scale economies induced by transit lines structures design," Economics of Transportation, Elsevier, vol. 22(C).
    11. Figliozzi, Miguel Andres, 2009. "Planning approximations to the average length of vehicle routing problems with time window constraints," Transportation Research Part B: Methodological, Elsevier, vol. 43(4), pages 438-447, May.
    12. Proboste, Francisco & Muñoz, Juan Carlos & Gschwender, Antonio, 2020. "Comparing social costs of public transport networks structured around an Open and Closed BRT corridor in medium sized cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 187-212.
    13. Ling, Shuai & Jia, Ning & Ma, Shoufeng & Lan, Yanfei & Hu, Wandi, 2019. "An incentive mechanism design for bus subsidy based on the route service level," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 271-283.
    14. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    15. Luo, Sida & Nie, Yu (Marco), 2020. "On the role of route choice modeling in transit sketchy design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 223-243.
    16. Hideki Hashimoto & Mutsunori Yagiura & Shinji Imahori & Toshihide Ibaraki, 2013. "Recent progress of local search in handling the time window constraints of the vehicle routing problem," Annals of Operations Research, Springer, vol. 204(1), pages 171-187, April.
    17. Myungseob (Edward) Kim & Eungcheol Kim, 2023. "Joint Optimization of Distance-Based Fares and Headway for Fixed-Route Bus Operations," Sustainability, MDPI, vol. 15(21), pages 1-14, October.
    18. Guo, Qianwen & Sun, Yanshuo & Schonfeld, Paul & Li, Zhongfei, 2021. "Time-dependent transit fare optimization with elastic and spatially distributed demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 353-378.
    19. Moccia, Luigi & Giallombardo, Giovanni & Laporte, Gilbert, 2017. "Models for technology choice in a transit corridor with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 733-756.
    20. Catharinus F. Jaarsma & Hein Botma & Ronald G. H. Van Ark & Geert P.A. Willems, 2003. "Agricultural vehicles and sustainable safe road traffic: solving conflicts on arterial highways," Transport Reviews, Taylor & Francis Journals, vol. 23(4), pages 471-488, July.

    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:taf:transp:v:27:y:2004:i:3:p:211-227. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GTPT20 .

    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.