YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Natural Hazards Review
    • View Item
    •   YE&T Library
    • ASCE
    • Natural Hazards Review
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Strengthening Infrastructure Resilience to Hurricanes by Modeling Transportation and Electric Power Network Interdependencies

    Source: Natural Hazards Review:;2025:;Volume ( 026 ):;issue: 003::page 04025024-1
    Author:
    Tasnuba Binte Jamal
    ,
    Samiul Hasan
    ,
    Omar I. Abdul-Aziz
    ,
    Pallab Mozumder
    ,
    Rounak Meyur
    DOI: 10.1061/NHREFO.NHENG-2236
    Publisher: American Society of Civil Engineers
    Abstract: Community resilience is significantly affected by infrastructure disruptions during hurricanes. Resilience is generally defined as the ability of a system to manage shocks and return to a normal state in response to an extreme event. Due to the interconnected and interdependent relationships among infrastructure systems, the restoration process of a system is further delayed when other systems are disrupted. This study presents an agent-based model (ABM) developed to simulate the resilience of infrastructures to hurricanes, focusing on the interdependencies between electric power and transportation networks. To study infrastructure resilience to a hurricane, a library of agents has been created including electric power networks, transportation networks, wind/flooding hazards, and household agents. The ABM is applied to the households in ZIP Code 33147 of Miami-Dade County, Florida, and the infrastructures supporting these households. Interdependencies between the two networks are modeled in two ways, representing the (1) role of transportation in fuel delivery to power plants and restoration teams’ access to failed power system components and the (2) impact of power outage on transportation network components. We simulate three restoration strategies: component-based, distance-based, and traffic light-based restoration. The model is validated against Hurricane Irma data, showing consistent behavior with varying hazard intensities. Scenario analyses reveal the impact of restoration strategies, road accessibility, and wind speed on power service restoration. Results demonstrate that a traffic-light-based restoration strategy efficiently prioritizes signal recovery without delaying household power restoration time. Restoration of power services will be faster if fuel transportation to power plants and restoration efforts are not delayed by inaccessible roads due to flooding. The developed ABM can be used as a decision support tool by policymakers and utility/emergency managers in evaluating power outage restoration strategies using available resources.
    • Download: (2.039Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Strengthening Infrastructure Resilience to Hurricanes by Modeling Transportation and Electric Power Network Interdependencies

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4306969
    Collections
    • Natural Hazards Review

    Show full item record

    contributor authorTasnuba Binte Jamal
    contributor authorSamiul Hasan
    contributor authorOmar I. Abdul-Aziz
    contributor authorPallab Mozumder
    contributor authorRounak Meyur
    date accessioned2025-08-17T22:27:46Z
    date available2025-08-17T22:27:46Z
    date copyright8/1/2025 12:00:00 AM
    date issued2025
    identifier otherNHREFO.NHENG-2236.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306969
    description abstractCommunity resilience is significantly affected by infrastructure disruptions during hurricanes. Resilience is generally defined as the ability of a system to manage shocks and return to a normal state in response to an extreme event. Due to the interconnected and interdependent relationships among infrastructure systems, the restoration process of a system is further delayed when other systems are disrupted. This study presents an agent-based model (ABM) developed to simulate the resilience of infrastructures to hurricanes, focusing on the interdependencies between electric power and transportation networks. To study infrastructure resilience to a hurricane, a library of agents has been created including electric power networks, transportation networks, wind/flooding hazards, and household agents. The ABM is applied to the households in ZIP Code 33147 of Miami-Dade County, Florida, and the infrastructures supporting these households. Interdependencies between the two networks are modeled in two ways, representing the (1) role of transportation in fuel delivery to power plants and restoration teams’ access to failed power system components and the (2) impact of power outage on transportation network components. We simulate three restoration strategies: component-based, distance-based, and traffic light-based restoration. The model is validated against Hurricane Irma data, showing consistent behavior with varying hazard intensities. Scenario analyses reveal the impact of restoration strategies, road accessibility, and wind speed on power service restoration. Results demonstrate that a traffic-light-based restoration strategy efficiently prioritizes signal recovery without delaying household power restoration time. Restoration of power services will be faster if fuel transportation to power plants and restoration efforts are not delayed by inaccessible roads due to flooding. The developed ABM can be used as a decision support tool by policymakers and utility/emergency managers in evaluating power outage restoration strategies using available resources.
    publisherAmerican Society of Civil Engineers
    titleStrengthening Infrastructure Resilience to Hurricanes by Modeling Transportation and Electric Power Network Interdependencies
    typeJournal Article
    journal volume26
    journal issue3
    journal titleNatural Hazards Review
    identifier doi10.1061/NHREFO.NHENG-2236
    journal fristpage04025024-1
    journal lastpage04025024-17
    page17
    treeNatural Hazards Review:;2025:;Volume ( 026 ):;issue: 003
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian