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    Characterization of the Inherent Resilience of Large Cities to Natural Hazards

    Source: Journal of Engineering Mechanics:;2023:;Volume ( 149 ):;issue: 010::page 04023076-1
    Author:
    Nicos Makris
    ,
    Tue Vu
    ,
    Gholamreza Moghimi
    ,
    Georgios Chatzikyriakidis
    ,
    Eric Godat
    DOI: 10.1061/JENMDT.EMENG-7102
    Publisher: ASCE
    Abstract: In view that cities will continue to house the majority of the world’s population at an increasing rate in the face of climate change, this paper studies urban resilience by examining the response history of the mean-square displacement of the citizens of large cities prior to and upon historic natural hazards strike. The recorded mean-square displacements of large numbers of cellphone users from the cities of Houston, Miami, and Jacksonville when struck by hurricanes Harvey 2017, Irma 2017, and Dorian 2019 together with the recorded mean-square displacements of the citizens of Dallas and Houston when experiencing the 2021 North American winter storm suggest that large cities of average population density when struck by natural hazards are inherently resilient. The recorded mean-square displacements presented in this study also validate a mechanical model for cities, previously developed by the authors, that is rooted in Langevin dynamics and predicts that following a natural hazard, large cities revert immediately to their initial steady-state behavior and resume their normal, preevent activities. The inherent ability of large American cities to revert to their normal, preevent, steady-state response as evidenced in this study by the recorded mean-square displacement of their citizens needs to be further explored for other cities around the world with different resources, and socioeconomic structures.
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      Characterization of the Inherent Resilience of Large Cities to Natural Hazards

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4293513
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    contributor authorNicos Makris
    contributor authorTue Vu
    contributor authorGholamreza Moghimi
    contributor authorGeorgios Chatzikyriakidis
    contributor authorEric Godat
    date accessioned2023-11-27T23:22:46Z
    date available2023-11-27T23:22:46Z
    date issued7/28/2023 12:00:00 AM
    date issued2023-07-28
    identifier otherJENMDT.EMENG-7102.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293513
    description abstractIn view that cities will continue to house the majority of the world’s population at an increasing rate in the face of climate change, this paper studies urban resilience by examining the response history of the mean-square displacement of the citizens of large cities prior to and upon historic natural hazards strike. The recorded mean-square displacements of large numbers of cellphone users from the cities of Houston, Miami, and Jacksonville when struck by hurricanes Harvey 2017, Irma 2017, and Dorian 2019 together with the recorded mean-square displacements of the citizens of Dallas and Houston when experiencing the 2021 North American winter storm suggest that large cities of average population density when struck by natural hazards are inherently resilient. The recorded mean-square displacements presented in this study also validate a mechanical model for cities, previously developed by the authors, that is rooted in Langevin dynamics and predicts that following a natural hazard, large cities revert immediately to their initial steady-state behavior and resume their normal, preevent activities. The inherent ability of large American cities to revert to their normal, preevent, steady-state response as evidenced in this study by the recorded mean-square displacement of their citizens needs to be further explored for other cities around the world with different resources, and socioeconomic structures.
    publisherASCE
    titleCharacterization of the Inherent Resilience of Large Cities to Natural Hazards
    typeJournal Article
    journal volume149
    journal issue10
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/JENMDT.EMENG-7102
    journal fristpage04023076-1
    journal lastpage04023076-14
    page14
    treeJournal of Engineering Mechanics:;2023:;Volume ( 149 ):;issue: 010
    contenttypeFulltext
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