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    Integrated Framework for Quantifying and Predicting Weather-Related Highway Construction Delays

    Source: Journal of Construction Engineering and Management:;2010:;Volume ( 136 ):;issue: 011
    Author:
    Somkiat Apipattanavis
    ,
    Kevin Sabol
    ,
    Keith R. Molenaar
    ,
    Balaji Rajagopalan
    ,
    Yunping Xi
    ,
    Ben Blackard
    ,
    Shekhar Patil
    DOI: 10.1061/(ASCE)CO.1943-7862.0000199
    Publisher: American Society of Civil Engineers
    Abstract: Constant exposure to the environment makes highway construction highly dependent on weather. However, highway construction contracts are often unclear about the potential influence of weather-related delays on highway construction project schedules. There is a need to discourage litigation arising from weather-related delays by including in contracts a reasonable number of nonwork days as a consequence of adverse weather and providing an equitable criteria for the course of action when the predictions in the contracts turn out to be inaccurate. To address this need, an integrated framework consisting of the following two key components is proposed: (1) identification of attributes of weather that cause construction delays and (2) generation of synthetic weather sequences using a stochastic weather generator to quantify and provide probabilistic forecasts of weather threshold values. The utility of this framework is demonstrated through its application to construction work on a project in Texas. The use of probabilistic forecast of construction delay attributes provided by a semiparametric weather generator in this research is an example of interdisciplinary study to help address this problem. The result of the research is better decision support for agencies who wish to author contracts that more equitably allow for the influence of weather during construction.
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      Integrated Framework for Quantifying and Predicting Weather-Related Highway Construction Delays

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    http://yetl.yabesh.ir/yetl1/handle/yetl/58351
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    contributor authorSomkiat Apipattanavis
    contributor authorKevin Sabol
    contributor authorKeith R. Molenaar
    contributor authorBalaji Rajagopalan
    contributor authorYunping Xi
    contributor authorBen Blackard
    contributor authorShekhar Patil
    date accessioned2017-05-08T21:39:08Z
    date available2017-05-08T21:39:08Z
    date copyrightNovember 2010
    date issued2010
    identifier other%28asce%29co%2E1943-7862%2E0000205.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/58351
    description abstractConstant exposure to the environment makes highway construction highly dependent on weather. However, highway construction contracts are often unclear about the potential influence of weather-related delays on highway construction project schedules. There is a need to discourage litigation arising from weather-related delays by including in contracts a reasonable number of nonwork days as a consequence of adverse weather and providing an equitable criteria for the course of action when the predictions in the contracts turn out to be inaccurate. To address this need, an integrated framework consisting of the following two key components is proposed: (1) identification of attributes of weather that cause construction delays and (2) generation of synthetic weather sequences using a stochastic weather generator to quantify and provide probabilistic forecasts of weather threshold values. The utility of this framework is demonstrated through its application to construction work on a project in Texas. The use of probabilistic forecast of construction delay attributes provided by a semiparametric weather generator in this research is an example of interdisciplinary study to help address this problem. The result of the research is better decision support for agencies who wish to author contracts that more equitably allow for the influence of weather during construction.
    publisherAmerican Society of Civil Engineers
    titleIntegrated Framework for Quantifying and Predicting Weather-Related Highway Construction Delays
    typeJournal Paper
    journal volume136
    journal issue11
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0000199
    treeJournal of Construction Engineering and Management:;2010:;Volume ( 136 ):;issue: 011
    contenttypeFulltext
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