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    Productivity-Safety Model: Debunking the Myth of the Productivity-Safety Divide through a Mixed-Reality Residential Roofing Task

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 011
    Author:
    Sogand Hasanzadeh
    ,
    Jesus M. de la Garza
    DOI: 10.1061/(ASCE)CO.1943-7862.0001916
    Publisher: ASCE
    Abstract: Distractions theory and general practice have suggested that providing safe physical conditions will reduce task demands and thereby increase workers’ ability to develop highly productive and safe production systems. However, the construction industry has not achieved greater productivity and safety gains despite extensive safety efforts. This study aimed to examine whether the reduced task-demands as a result of safer conditions actually causes fall risks to be underestimated, encourages increased productivity, and changes risk-taking behaviors. To do so, the changes in study participants’ productivity, risk perception (through physiological and subjective measures), risk-taking behavior (through tracking subject’s motion, and localizing their positions and postures), and safety performance (through frequency of near misses) were examined when they were provided with various levels of safety interventions. The findings indicated that the reduced perceived risk and the desire for increased productivity may skew risk analysis and strongly bias workers toward presuming invulnerability when safety interventions are in place. Known as risk compensation cognitive bias, this change in human behavior counteracts the traditional outcomes explained by Hinze’s distractions theory. The empirical evidence from a simulated roofing task helped substantiate the proposed productivity-safety model, which illustrates how safety interventions might become counterproductive because of the risk-compensation bias experienced by workers.
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      Productivity-Safety Model: Debunking the Myth of the Productivity-Safety Divide through a Mixed-Reality Residential Roofing Task

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    contributor authorSogand Hasanzadeh
    contributor authorJesus M. de la Garza
    date accessioned2022-01-30T21:30:37Z
    date available2022-01-30T21:30:37Z
    date issued11/1/2020 12:00:00 AM
    identifier other%28ASCE%29CO.1943-7862.0001916.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4268330
    description abstractDistractions theory and general practice have suggested that providing safe physical conditions will reduce task demands and thereby increase workers’ ability to develop highly productive and safe production systems. However, the construction industry has not achieved greater productivity and safety gains despite extensive safety efforts. This study aimed to examine whether the reduced task-demands as a result of safer conditions actually causes fall risks to be underestimated, encourages increased productivity, and changes risk-taking behaviors. To do so, the changes in study participants’ productivity, risk perception (through physiological and subjective measures), risk-taking behavior (through tracking subject’s motion, and localizing their positions and postures), and safety performance (through frequency of near misses) were examined when they were provided with various levels of safety interventions. The findings indicated that the reduced perceived risk and the desire for increased productivity may skew risk analysis and strongly bias workers toward presuming invulnerability when safety interventions are in place. Known as risk compensation cognitive bias, this change in human behavior counteracts the traditional outcomes explained by Hinze’s distractions theory. The empirical evidence from a simulated roofing task helped substantiate the proposed productivity-safety model, which illustrates how safety interventions might become counterproductive because of the risk-compensation bias experienced by workers.
    publisherASCE
    titleProductivity-Safety Model: Debunking the Myth of the Productivity-Safety Divide through a Mixed-Reality Residential Roofing Task
    typeJournal Paper
    journal volume146
    journal issue11
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0001916
    page16
    treeJournal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 011
    contenttypeFulltext
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