IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-030-95354-6_1.html
   My bibliography  Save this book chapter

A Data-Driven Optimization Computational Tool Design for Bike-Sharing Station Distribution in Small to Medium-Sized Cities: A Case Study for Cuenca, Ecuador

In: Advances in Information Systems Development

Author

Listed:
  • Fernando Cueva

    (Rochester Institute of Technology
    Universidad de Cuenca)

  • Pengcheng Shi

    (Rochester Institute of Technology)

  • Priscila Cedillo

    (Universidad de Cuenca)

Abstract

Faced with heavy vehicular traffic at present, the strategic implementation of Bike Sharing Systems (BSSs) in cities as an alternative means of transport for users is increasingly being adopted. These solutions reduce the environmental burden posed by other means of transportation, decrease costs for citizens, improves people's health due to physical activity, among other advantages. However, aspects such as the definition of bike stations’ locations represent a challenge when these solutions are being implemented. Therefore, this paper presents a software tool design that supports a method that defines the location and number of stations within a BSS. Also, the tool uses a data-driven optimization model to establish the location of stations. Finally, a case study carried out in Cuenca—Ecuador, demonstrates the proposal's feasibility, showing a significant concordance with the consulting firms-consortia results (70–90% of coincidence) at a lower cost.

Suggested Citation

  • Fernando Cueva & Pengcheng Shi & Priscila Cedillo, 2022. "A Data-Driven Optimization Computational Tool Design for Bike-Sharing Station Distribution in Small to Medium-Sized Cities: A Case Study for Cuenca, Ecuador," Lecture Notes in Information Systems and Organization, in: Emilio Insfran & Fernando González & Silvia Abrahão & Marta Fernández & Chris Barry & Michael Lang & (ed.), Advances in Information Systems Development, pages 1-18, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-95354-6_1
    DOI: 10.1007/978-3-030-95354-6_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnichp:978-3-030-95354-6_1. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.