IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v503y2018icp209-214.html
   My bibliography  Save this article

Scaling laws between population and a public transportation system of urban buses

Author

Listed:
  • Kwon, Okyu

Abstract

We explore the scaling relation between the population and the public transportation system of urban buses for the two cities Daejeon and Gwangju where urban buses are the central to public transportation. These two cities are metropolitan cities in the Republic of Korea with very similar areal sizes and populations. In terms of the transportation service volume, the number of buses operating on one day and population follow a scaling law with an exponent close to 1. In terms of transportation service accessibility, the number of bus stops and population follow a scaling law with an exponent lower than 2/3. An exponent of 1 reveals that the transportation service is provided in proportion to population. An exponent lower than 2/3 reveals that the bus stops, which provide access to the transportation service, are expected to be more evenly distributed spatially.

Suggested Citation

  • Kwon, Okyu, 2018. "Scaling laws between population and a public transportation system of urban buses," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 209-214.
  • Handle: RePEc:eee:phsmap:v:503:y:2018:i:c:p:209-214
    DOI: 10.1016/j.physa.2018.02.193
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711830267X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2018.02.193?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.

    Citations

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


    Cited by:

    1. Chen, Yanguang & Wang, Yihan & Li, Xijing, 2019. "Fractal dimensions derived from spatial allometric scaling of urban form," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 122-134.
    2. De Bona, Anderson Andrei & de Oliveira Rosa, Marcelo & Ono Fonseca, Keiko Verônica & Lüders, Ricardo, 2021. "A reduced model for complex network analysis of public transportation systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    3. Xu, Gang & Xu, Zhibang & Gu, Yanyan & Lei, Weiqian & Pan, Yupiao & Liu, Jie & Jiao, Limin, 2020. "Scaling laws in intra-urban systems and over time at the district level in Shanghai, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).

    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:phsmap:v:503:y:2018:i:c:p:209-214. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.