IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v41y2018i4p353-374.html
   My bibliography  Save this article

Identifying the most critical transportation intersections using social network analysis

Author

Listed:
  • Islam H. El-adaway
  • Ibrahim Abotaleb
  • Eric Vechan

Abstract

Traffic congestion negatively impacts our society. Most of the traditional transportation planning techniques – though effective – require rigorous amounts of data and analysis which consumes time and resources. This paper uses social network analysis (SNA) to analyze transportation networks, and consequently corroborate the effectiveness of SNA as a complementary tool for improved transportation planning. After creating the connection between the language and concepts of SNA and those of transportation systems – as well as developing a model that utilizes different SNA centrality measures within the transportation context – the authors utilize SNA to investigate traffic networks in three case studies in the state of Louisiana, analyze the results and draw conclusions. To this effect, with minimal cost and time, the model identifies the most critical intersections that should be further investigated using traditional techniques. These results are in agreement with the findings of Louisiana’s Department of Transportation and Development.

Suggested Citation

  • Islam H. El-adaway & Ibrahim Abotaleb & Eric Vechan, 2018. "Identifying the most critical transportation intersections using social network analysis," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(4), pages 353-374, May.
    • Handle: RePEc:taf:transp:v:41:y:2018:i:4:p:353-374
    DOI: 10.1080/03081060.2018.1453456
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2018.1453456
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03081060.2018.1453456?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. Yang, Haoran & Du, Delin & Wang, Jiaoe & Wang, Xiaomeng & Zhang, Fan, 2023. "Reshaping China's urban networks and their determinants: High-speed rail vs. air networks," Transport Policy, Elsevier, vol. 143(C), pages 83-92.
    2. Tu Anh Trinh & Ducksu Seo & Unchong Kim & Thi Nhu Quynh Phan & Thi Hai Hang Nguyen, 2022. "Air Transport Centrality as a Driver of Sustainable Regional Growth: A Case of Vietnam," Sustainability, MDPI, vol. 14(15), pages 1-14, August.
    3. Van Nguyen, Truong & Zhang, Jie & Zhou, Li & Meng, Meng & He, Yong, 2020. "A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).

    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:41:y:2018:i:4:p:353-374. 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: 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.