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    Postdisaster Labor-Demand Surge in the US Highways, Roads, and Bridges Construction Sector

    Source: Journal of Management in Engineering:;2021:;Volume ( 037 ):;issue: 001::page 04020102-1
    Author:
    Srijesh Pradhan
    ,
    Erin Arneson
    DOI: 10.1061/(ASCE)ME.1943-5479.0000869
    Publisher: ASCE
    Abstract: The swift and cost-efficient postdisaster reconstruction of highways, roads, and bridges is a necessary component of resilient transportation infrastructure systems. However, the US construction industry often reports temporary increases in construction labor wages following large-scale disasters due to a gap between labor supply and demand, a concept known as demand surge. Utilizing publicly available big data related to the construction labor market and postdisaster infrastructure repair expenditures, this study seeks to (1) measure construction labor demand surge in the highways, roads, and bridges construction sector following federally-declared disasters in US metro-areas and (2) identify when such postdisaster demand surge occurs. A total of 118 US metro-areas were analyzed for demand surge following federally-declared disaster events from 2004 to 2017. Findings highlight inflated postdisaster construction labor wages in metro-areas, with the demand surge spiking within six months after a disaster. This data-driven study is the first to quantitatively measure postdisaster demand surge in the US highways, roads, and bridges sector following multihazard disaster events. Knowledge of the demand surge can guide predisaster planning and decision-making processes for local, state, and national agencies and inform postdisaster best practices for contractors and engineers coordinating transportation system construction projects.
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      Postdisaster Labor-Demand Surge in the US Highways, Roads, and Bridges Construction Sector

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4269801
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    contributor authorSrijesh Pradhan
    contributor authorErin Arneson
    date accessioned2022-01-31T23:29:00Z
    date available2022-01-31T23:29:00Z
    date issued1/1/2021
    identifier other%28ASCE%29ME.1943-5479.0000869.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269801
    description abstractThe swift and cost-efficient postdisaster reconstruction of highways, roads, and bridges is a necessary component of resilient transportation infrastructure systems. However, the US construction industry often reports temporary increases in construction labor wages following large-scale disasters due to a gap between labor supply and demand, a concept known as demand surge. Utilizing publicly available big data related to the construction labor market and postdisaster infrastructure repair expenditures, this study seeks to (1) measure construction labor demand surge in the highways, roads, and bridges construction sector following federally-declared disasters in US metro-areas and (2) identify when such postdisaster demand surge occurs. A total of 118 US metro-areas were analyzed for demand surge following federally-declared disaster events from 2004 to 2017. Findings highlight inflated postdisaster construction labor wages in metro-areas, with the demand surge spiking within six months after a disaster. This data-driven study is the first to quantitatively measure postdisaster demand surge in the US highways, roads, and bridges sector following multihazard disaster events. Knowledge of the demand surge can guide predisaster planning and decision-making processes for local, state, and national agencies and inform postdisaster best practices for contractors and engineers coordinating transportation system construction projects.
    publisherASCE
    titlePostdisaster Labor-Demand Surge in the US Highways, Roads, and Bridges Construction Sector
    typeJournal Paper
    journal volume37
    journal issue1
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000869
    journal fristpage04020102-1
    journal lastpage04020102-10
    page10
    treeJournal of Management in Engineering:;2021:;Volume ( 037 ):;issue: 001
    contenttypeFulltext
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