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    Analysis of Interregional Commuters Traffic Delay Induced by Shoreline Protection of Different Areas of the San Francisco Bay Area

    Source: Journal of Infrastructure Systems:;2023:;Volume ( 029 ):;issue: 004::page 04023028-1
    Author:
    Alain Tcheukam Siwe
    ,
    Aaron C. H. Chow
    ,
    Samer M. Madanat
    DOI: 10.1061/JITSE4.ISENG-2279
    Publisher: ASCE
    Abstract: The effects of global climate change are already observed in coastal communities, and one of the key impacts of climate change is sea level rise (SLR). Such increases in sea level are expected to have large impacts on transportation infrastructure and result in region-wide commute disruption. Studies and adaptation strategies in coastal areas will allow decision-makers to take better actions against SLR. The present paper uses the San Francisco Bay Area as a case study. The study quantifies the interregional traffic delay of commuters due to the inundation of shoreline protection segments of the Bay Area. The approach is based on the marginal effect of protection within San Francisco Bay where individual stretches of coastline known as operational landscape units (OLUs) are protected one at a time. In the study, we integrate detailed shoreline scenarios, coastal inundation modeling, and traffic disruption modeling. Important insights from the analysis are obtained: the protection of an OLU (and specifically San Rafael OLU) will produce an average commute time reduction of up to 17% in the neighboring areas or the neighborhoods located across the bay. Five OLUs along with four bridges were identified as critical for minimizing disruptions to commute times. This methodology may be used by decision-makers when proposing adaptation and protection strategies that account for both local and regional areas.
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      Analysis of Interregional Commuters Traffic Delay Induced by Shoreline Protection of Different Areas of the San Francisco Bay Area

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4293684
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    contributor authorAlain Tcheukam Siwe
    contributor authorAaron C. H. Chow
    contributor authorSamer M. Madanat
    date accessioned2023-11-27T23:35:11Z
    date available2023-11-27T23:35:11Z
    date issued8/30/2023 12:00:00 AM
    date issued2023-08-30
    identifier otherJITSE4.ISENG-2279.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4293684
    description abstractThe effects of global climate change are already observed in coastal communities, and one of the key impacts of climate change is sea level rise (SLR). Such increases in sea level are expected to have large impacts on transportation infrastructure and result in region-wide commute disruption. Studies and adaptation strategies in coastal areas will allow decision-makers to take better actions against SLR. The present paper uses the San Francisco Bay Area as a case study. The study quantifies the interregional traffic delay of commuters due to the inundation of shoreline protection segments of the Bay Area. The approach is based on the marginal effect of protection within San Francisco Bay where individual stretches of coastline known as operational landscape units (OLUs) are protected one at a time. In the study, we integrate detailed shoreline scenarios, coastal inundation modeling, and traffic disruption modeling. Important insights from the analysis are obtained: the protection of an OLU (and specifically San Rafael OLU) will produce an average commute time reduction of up to 17% in the neighboring areas or the neighborhoods located across the bay. Five OLUs along with four bridges were identified as critical for minimizing disruptions to commute times. This methodology may be used by decision-makers when proposing adaptation and protection strategies that account for both local and regional areas.
    publisherASCE
    titleAnalysis of Interregional Commuters Traffic Delay Induced by Shoreline Protection of Different Areas of the San Francisco Bay Area
    typeJournal Article
    journal volume29
    journal issue4
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/JITSE4.ISENG-2279
    journal fristpage04023028-1
    journal lastpage04023028-13
    page13
    treeJournal of Infrastructure Systems:;2023:;Volume ( 029 ):;issue: 004
    contenttypeFulltext
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