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

被引:131
作者
Han, SangUk [1 ]
Saba, Farzaneh [2 ]
Lee, SangHyun [3 ]
Mohamed, Yasser [2 ]
Pena-Mora, Feniosky [3 ,4 ]
机构
[1] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA
[2] Univ Alberta, Dept Civil & Environm Engn, Hole Sch Construct Engn, Markin CNRL Nat Resources Engn Facil 3 011, Edmonton, AB T6G 2W2, Canada
[3] Univ Michigan, Dept Civil & Environm Engn, Ann Arbor, MI 48109 USA
[4] Columbia Univ, Dept Civil Engn & Engn Mech, New York, NY 10027 USA
基金
美国国家科学基金会;
关键词
Safety; Systems thinking; Accident prevention; Simulation; Causal loop analysis; SYSTEM DYNAMICS; PROJECT-MANAGEMENT; MODEL; BEHAVIOR; CLIMATE; CULTURE; INJURY; ACCIDENTS; MOTIVATION; ATTITUDES;
D O I
10.1016/j.aap.2013.10.007
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
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. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:106 / 116
页数:11
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