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Toward an understanding of the impact of production pressure on safety performance in construction operations

机译:理解生产压力对施工作业安全性能的影响

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摘要

It is not unusual to observe that actual schedule and quality performances are different from planned performances (e.g., schedule delay and rework) during a construction project. Such differences often result in production pressure (e.g., being pressed to work faster). Previous studies demonstrated that such production pressure negatively affects safety performance. However, the process by which production pressure influences safety performance, and to what extent, has not been fully investigated. As a result, the impact of production pressure has not been incorporated much into safety management in practice. In an effort to address this issue, this paper examines how production pressure relates to safety performance over time by identifying their feedback processes. A conceptual causal loop diagram is created to identify the relationship between schedule and quality performances (e.g., schedule delays and rework) and the components related to a safety program (e.g., workers' perceptions of safety, safety training, safety supervision, and crew size). A case study is then experimentally undertaken to investigate this relationship with accident occurrence with the use of data collected from a construction site; the case study is used to build a System Dynamics (SD) model. The SD model, then, is validated through inequality statistics analysis. Sensitivity analysis and statistical screening techniques further permit an evaluation of the impact of the managerial components on accident occurrence. The results of the case study indicate that schedule delays and rework are the critical factors affecting accident occurrence for the monitored project.
机译:在建筑项目中通常会观察到实际的进度和质量绩效与计划的绩效(例如进度延迟和返工)不同的情况很常见。这种差异通常会导致生产压力(例如,被迫加快工作速度)。先前的研究表明,这种生产压力会对安全性能产生负面影响。但是,生产压力影响安全性能的过程以及影响程度的过程尚未得到充分研究。结果,生产压力的影响在实践中并未被纳入安全管理中。为了解决这个问题,本文通过确定反馈过程来检验生产压力与安全性能之间的关系。创建概念上的因果关系图以识别进度和质量绩效(例如,进度延迟和返工)以及与安全计划有关的组件(例如,工人对安全的看法,安全培训,安全监督和人员规模)之间的关系)。然后,通过从建筑工地收集的数据,通过实验进行案例研究,以研究这种关系与事故发生的关系;该案例研究用于构建系统动力学(SD)模型。然后,通过不平等统计分析来验证SD模型。敏感性分析和统计筛选技术还可以评估管理因素对事故发生的影响。案例研究的结果表明,进度延迟和返工是影响受监控项目事故发生的关键因素。

著录项

  • 来源
    《Accident Analysis & Prevention》 |2014年第7期|106-116|共11页
  • 作者单位

    Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 North Mathews Avenue, Urbana, IL 61801, USA;

    Hole School of Construction Engineering, Department of Civil & Environmental Engineering, University of Alberta, 3-011 Markin/CNRL Natural Resources Engineering Facility, Edmonton, Alberta, Canada T6G 2W2;

    Department of Civil and Environmental Engineering, University of Michigan at Ann Arbor, 2340 GG Brown, 2350 Hayward Street, Ann Arbor, MI 48109, USA;

    Hole School of Construction Engineering, Department of Civil & Environmental Engineering, University of Alberta, 3-011 Markin/CNRL Natural Resources Engineering Facility, Edmonton, Alberta, Canada T6G 2W2;

    Department of Civil and Environmental Engineering, University of Michigan at Ann Arbor, 2340 GG Brown, 2350 Hayward Street, Ann Arbor, MI 48109, USA,Department of Civil Engineering and Engineering Mechanics, Earth and Environmental Engineering, and Computer Science, Columbia University, 628 S.W. Mudd Building, 500 West 120th Street, New York, NY 10027, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Safety; Systems thinking; Accident prevention; Simulation; Causal loop analysis;

    机译:安全;系统思考;预防意外;模拟;因果环分析;

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