IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v240y2023ics0951832023004933.html
   My bibliography  Save this article

Probabilistic risk assessment of hurricane-induced debris impacts on coastal transportation infrastructure

Author

Listed:
  • Amini, Kooshan
  • Padgett, Jamie E.

Abstract

Hurricanes pose a significant challenge to the resilience of coastal communities, causing not only direct physical, social, and economic impacts but also indirect or cascading effects. Among these, debris-related impacts can cause structural damage from debris collisions and disrupt essential services by blocking roadways, thereby slowing the recovery of other infrastructures. As a result, it is essential to better understand and model debris and its uncertain impacts on coastal communities in the face of storm hazards. This paper puts forward a methodology to probabilistically evaluate hurricane-induced debris and its impacts on community-scale transportation infrastructure. Selected features of the proposed methodology are showcased using testbed community data and input models relevant to the Galveston region in Texas, USA. The findings highlight the need to account for debris impacts when assessing transportation network resilience metrics in coastal areas. Without this consideration, the impacts of such events, including equitable access to emergency facilities, could be underestimated. The results reveal that when debris and roadway damages are considered together, connectivity loss to emergency facilities could increase from 2% to 17% under a representative 500-year storm event.

Suggested Citation

  • Amini, Kooshan & Padgett, Jamie E., 2023. "Probabilistic risk assessment of hurricane-induced debris impacts on coastal transportation infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
  • Handle: RePEc:eee:reensy:v:240:y:2023:i:c:s0951832023004933
    DOI: 10.1016/j.ress.2023.109579
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832023004933
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2023.109579?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.

    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:reensy:v:240:y:2023:i:c:s0951832023004933. 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: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.