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    Developing a Process to Evaluate Construction Project Safety Hazard Index Using the Possibility Approach in India

    Source: Journal of Construction Engineering and Management:;2017:;Volume ( 143 ):;issue: 001
    Author:
    D. A. Patel
    ,
    K. N. Jha
    DOI: 10.1061/(ASCE)CO.1943-7862.0001205
    Publisher: American Society of Civil Engineers
    Abstract: Hazard evaluation is a critical task in safety management of construction projects because of their characteristics and dynamics. This study provides a framework to evaluate the project hazard index (PHI), which represents the hazard level of a construction project by using the possibility approach (fuzzy set theory). To achieve this objective, the study has been conducted in two phases. In the first phase, 10 hazardous trades and their physical attributes have been shortlisted and a three-level hierarchical structure has been constructed to evaluate the PHI. In the second phase, the methodology of evaluation and determination of the weight of each hazardous trade with its attributes were carried out using tools such as fuzzy measures, fuzzy integrals, fuzzy analytical hierarchy process (FAHP), and the weighted sum method (WSM). Correlation between the PHI and safety budget of several project sites owned by the Delhi Metro rail project validates this study. The PHI will be useful to differentiate the projects based on their project hazard level and accordingly, decisions can be made to improve safety management in construction projects. Application of fuzzy measure and nonadditive fuzzy integral, nonprobability (possibility) approach, and considerations of trades instead of activities are some of the key highlights and contributions of this study.
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      Developing a Process to Evaluate Construction Project Safety Hazard Index Using the Possibility Approach in India

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4245648
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    • Journal of Construction Engineering and Management

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    contributor authorD. A. Patel
    contributor authorK. N. Jha
    date accessioned2017-12-30T13:06:15Z
    date available2017-12-30T13:06:15Z
    date issued2017
    identifier other%28ASCE%29CO.1943-7862.0001205.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245648
    description abstractHazard evaluation is a critical task in safety management of construction projects because of their characteristics and dynamics. This study provides a framework to evaluate the project hazard index (PHI), which represents the hazard level of a construction project by using the possibility approach (fuzzy set theory). To achieve this objective, the study has been conducted in two phases. In the first phase, 10 hazardous trades and their physical attributes have been shortlisted and a three-level hierarchical structure has been constructed to evaluate the PHI. In the second phase, the methodology of evaluation and determination of the weight of each hazardous trade with its attributes were carried out using tools such as fuzzy measures, fuzzy integrals, fuzzy analytical hierarchy process (FAHP), and the weighted sum method (WSM). Correlation between the PHI and safety budget of several project sites owned by the Delhi Metro rail project validates this study. The PHI will be useful to differentiate the projects based on their project hazard level and accordingly, decisions can be made to improve safety management in construction projects. Application of fuzzy measure and nonadditive fuzzy integral, nonprobability (possibility) approach, and considerations of trades instead of activities are some of the key highlights and contributions of this study.
    publisherAmerican Society of Civil Engineers
    titleDeveloping a Process to Evaluate Construction Project Safety Hazard Index Using the Possibility Approach in India
    typeJournal Paper
    journal volume143
    journal issue1
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0001205
    page04016081
    treeJournal of Construction Engineering and Management:;2017:;Volume ( 143 ):;issue: 001
    contenttypeFulltext
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