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

    Effects of Flooding on Roadways through Simulation-Traffic Integrated Vulnerability Modeling

    Source: Natural Hazards Review:;2024:;Volume ( 025 ):;issue: 003::page 04024025-1
    Author:
    Yangtian Yin
    ,
    Kunhee Choi
    ,
    Yongcheol Lee
    ,
    Moeid Shariatfar
    DOI: 10.1061/NHREFO.NHENG-1971
    Publisher: American Society of Civil Engineers
    Abstract: Urban flooding poses a significant threat to the functionality of roadway networks, and the frequency and severity of these events are anticipated to increase as a result of climate change. A key challenge in mitigating urban flood impact is the lack of detailed flood impact prediction methods at a large scale. This study addresses this gap by developing an integrated framework that assesses the flood vulnerability of large-scale urban roadway networks. A framework combining a large-scale hydraulic flood simulation with a roadway traffic network analysis was utilized to map the impact of flooding on the mobility and connectivity of the roadway network. Then, a flood-roadway network analysis was conducted to assess the vulnerability of the Houston roadway network under different phases of the flooding event. The efficacy of the proposed framework is validated through a case study focusing on Hurricane Harvey in Houston, successfully identifying areas with pronounced flood vulnerability. By adopting this framework, decision makers can better evaluate the flood vulnerability of the roadway network and identify areas that require attention to enhance resilience to floods. Urban flooding is always a great threat to our economy and safety. This study explores a new way of predicting, responding to, and planning for major urban flooding events. Our large-scale flood-roadway prediction framework can be used to predict flood impacts rapidly and accurately in advance, providing policymakers precious time to plan accordingly. Urban planners and city officials can leverage our research to identify areas more vulnerable to floods and guide urban development to increase flood resilience. Moreover, first responders can utilize our large-scale flood-roadway prediction framework to gain critical situation awareness in their disaster rescue efforts. Lastly, our research can play a crucial role in providing public information on flood risks. By providing timely and accurate flood alerts to the public, individuals and communities can take proactive measures to protect themselves and their property.
    • Download: (6.326Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Effects of Flooding on Roadways through Simulation-Traffic Integrated Vulnerability Modeling

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4298422
    Collections
    • Natural Hazards Review

    Show full item record

    contributor authorYangtian Yin
    contributor authorKunhee Choi
    contributor authorYongcheol Lee
    contributor authorMoeid Shariatfar
    date accessioned2024-12-24T10:10:09Z
    date available2024-12-24T10:10:09Z
    date copyright8/1/2024 12:00:00 AM
    date issued2024
    identifier otherNHREFO.NHENG-1971.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298422
    description abstractUrban flooding poses a significant threat to the functionality of roadway networks, and the frequency and severity of these events are anticipated to increase as a result of climate change. A key challenge in mitigating urban flood impact is the lack of detailed flood impact prediction methods at a large scale. This study addresses this gap by developing an integrated framework that assesses the flood vulnerability of large-scale urban roadway networks. A framework combining a large-scale hydraulic flood simulation with a roadway traffic network analysis was utilized to map the impact of flooding on the mobility and connectivity of the roadway network. Then, a flood-roadway network analysis was conducted to assess the vulnerability of the Houston roadway network under different phases of the flooding event. The efficacy of the proposed framework is validated through a case study focusing on Hurricane Harvey in Houston, successfully identifying areas with pronounced flood vulnerability. By adopting this framework, decision makers can better evaluate the flood vulnerability of the roadway network and identify areas that require attention to enhance resilience to floods. Urban flooding is always a great threat to our economy and safety. This study explores a new way of predicting, responding to, and planning for major urban flooding events. Our large-scale flood-roadway prediction framework can be used to predict flood impacts rapidly and accurately in advance, providing policymakers precious time to plan accordingly. Urban planners and city officials can leverage our research to identify areas more vulnerable to floods and guide urban development to increase flood resilience. Moreover, first responders can utilize our large-scale flood-roadway prediction framework to gain critical situation awareness in their disaster rescue efforts. Lastly, our research can play a crucial role in providing public information on flood risks. By providing timely and accurate flood alerts to the public, individuals and communities can take proactive measures to protect themselves and their property.
    publisherAmerican Society of Civil Engineers
    titleEffects of Flooding on Roadways through Simulation-Traffic Integrated Vulnerability Modeling
    typeJournal Article
    journal volume25
    journal issue3
    journal titleNatural Hazards Review
    identifier doi10.1061/NHREFO.NHENG-1971
    journal fristpage04024025-1
    journal lastpage04024025-15
    page15
    treeNatural Hazards Review:;2024:;Volume ( 025 ):;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