IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v33y2010i3p297-313.html
   My bibliography  Save this article

Interurban road network planning model with accessibility and robustness objectives

Author

Listed:
  • Bruno F. Santos
  • António P. Antunes
  • Eric J. Miller

Abstract

Road network planning (or design) problems consist of determining the best investment decisions to be made with regard to the improvement of a road network. In this paper, we propose an optimization model for long-term interurban road network planning where accessibility and robustness objectives are simultaneously taken into account. Three network robustness measures were defined to assess different robustness concerns: network spare capacity; city evacuation capacity; and network vulnerability. The results that may be obtained from the application of the model are illustrated for three random networks. Special attention is given to the implications of adopting each one of the robustness measures upon the optimum solution provided by the model.

Suggested Citation

  • Bruno F. Santos & António P. Antunes & Eric J. Miller, 2010. "Interurban road network planning model with accessibility and robustness objectives," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(3), pages 297-313, February.
    • Handle: RePEc:taf:transp:v:33:y:2010:i:3:p:297-313
    DOI: 10.1080/03081061003732375
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081061003732375
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03081061003732375?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. Xu, Xiangdong & Chen, Anthony & Jansuwan, Sarawut & Yang, Chao & Ryu, Seungkyu, 2018. "Transportation network redundancy: Complementary measures and computational methods," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 68-85.
    2. Tingting Chen & John D. Radke & Wei Lang & Xun Li, 2020. "Environment resilience and public health: Assessing healthcare's vulnerability to climate change in the San Francisco Bay Area," Growth and Change, Wiley Blackwell, vol. 51(2), pages 607-625, June.
    3. Johanna Guth & Sven Wursthorn & Andreas Ch. Braun & Sina Keller, 2019. "Development of a generic concept to analyze the accessibility of emergency facilities in critical road infrastructure for disaster scenarios: exemplary application for the 2017 wildfires in Chile and ," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(3), pages 979-999, July.
    4. Szymula, Christopher & Bešinović, Nikola, 2020. "Passenger-centered vulnerability assessment of railway networks," Transportation Research Part B: Methodological, Elsevier, vol. 136(C), pages 30-61.
    5. Maya Duque, Pablo A. & Coene, Sofie & Goos, Peter & Sörensen, Kenneth & Spieksma, Frits, 2013. "The accessibility arc upgrading problem," European Journal of Operational Research, Elsevier, vol. 224(3), pages 458-465.
    6. Susana Freiria & Alexandre O. Tavares & Rui Pedro Julião, 2015. "The Multiscale Importance of Road Segments in a Network Disruption Scenario: A Risk‐Based Approach," Risk Analysis, John Wiley & Sons, vol. 35(3), pages 484-500, March.
    7. Mollanejad, Mostafa & Zhang, Lei, 2014. "Incorporating spatial equity into interurban road network design," Journal of Transport Geography, Elsevier, vol. 39(C), pages 156-164.
    8. Rui Ding & Jun Fu & Yiming Du & Linyu Du & Tao Zhou & Yilin Zhang & Siwei Shen & Yuqi Zhu & Shihui Chen, 2022. "Structural Evolution and Community Detection of China Rail Transit Route Network," Sustainability, MDPI, vol. 14(19), pages 1-19, September.

    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:33:y:2010:i:3:p:297-313. 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.