Literature DB >> 24268437

A system dynamics approach for modeling construction workers' safety attitudes and behaviors.

Mingyu Shin1, Hyun-Soo Lee2, Moonseo Park3, Myunggi Moon4, Sangwon Han5.   

Abstract

Construction accidents are caused by an unsafe act (i.e., a person's behavior or activity that deviates from normal accepted safe procedure) and/or an unsafe condition (i.e., a hazard or an unsafe mechanical or physical environment). While there has been dramatic improvement in creating safer construction environments, relatively little is known regarding the elimination of construction workers' unsafe acts. To address this deficiency, this paper aims to develop a system dynamics (SD)-based model of construction workers' mental processes that can help analyze the feedback mechanisms and the resultant dynamics regarding the workers' safety attitudes and safe behaviors. The developed model is applied to examine the effectiveness of three safety improvement policies: incentives for safe behaviors, and increased levels of communication and immersion in accidents. Application of the model verifies the strong potential of the developed model to provide a better understanding of how to eliminate unsafe acts, and to function as a robust test-bed to assess the effectiveness of safety programs or training sessions before their implementation.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Mental process model; Safety attitudes; Safety behaviors; Safety management; Simulation

Mesh:

Year:  2013        PMID: 24268437     DOI: 10.1016/j.aap.2013.09.019

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  25 in total

1.  How Do Psychological Cognition and Institutional Environment Affect the Unsafe Behavior of Construction Workers?-Research on fsQCA Method.

Authors:  Beifei Yuan; Shuitai Xu; Li Chen; Muqing Niu
Journal:  Front Psychol       Date:  2022-06-03

2.  System dynamics applications to injury and violence prevention: a systematic review.

Authors:  Rebecca B Naumann; Anna E Austin; Laura Sheble; Kristen Hassmiller Lich
Journal:  Curr Epidemiol Rep       Date:  2019-04-25

3.  Evaluating the Impacts of Health, Social Network and Capital on Craft Efficiency and Productivity: A Case Study of Construction Workers in China.

Authors:  Jingfeng Yuan; Wen Yi; Mengyi Miao; Lei Zhang
Journal:  Int J Environ Res Public Health       Date:  2018-02-15       Impact factor: 3.390

4.  The Impact of Coworkers' Safety Violations on an Individual Worker: A Social Contagion Effect within the Construction Crew.

Authors:  Huakang Liang; Ken-Yu Lin; Shoujian Zhang; Yikun Su
Journal:  Int J Environ Res Public Health       Date:  2018-04-17       Impact factor: 3.390

5.  Exerting Explanatory Accounts of Safety Behavior of Older Construction Workers within the Theory of Planned Behavior.

Authors:  Lu Peng; Alan H S Chan
Journal:  Int J Environ Res Public Health       Date:  2019-09-10       Impact factor: 3.390

6.  Modelling and simulation of complex sociotechnical systems: envisioning and analysing work environments.

Authors:  Lawrence J Hettinger; Alex Kirlik; Yang Miang Goh; Peter Buckle
Journal:  Ergonomics       Date:  2015-03-11       Impact factor: 2.778

7.  Return-to-Work Within a Complex and Dynamic Organizational Work Disability System.

Authors:  Arif Jetha; Glenn Pransky; Jon Fish; Lawrence J Hettinger
Journal:  J Occup Rehabil       Date:  2016-09

8.  Identification of Safety-Related Opinion Leaders among Construction Workers: Evidence from Scaffolders of Metro Construction in Wuhan, China.

Authors:  Chaohua Xiong; Kongzheng Liang; HanBin Luo; Ivan W H Fung
Journal:  Int J Environ Res Public Health       Date:  2018-10-04       Impact factor: 3.390

9.  Impacts of Lean Construction on Safety Systems: A System Dynamics Approach.

Authors:  Xiuyu Wu; Hongping Yuan; Ge Wang; Shuquan Li; Guangdong Wu
Journal:  Int J Environ Res Public Health       Date:  2019-01-14       Impact factor: 3.390

10.  Occurrence mechanism and coping paths of accidents of highly aggregated tourist crowds based on system dynamics.

Authors:  Jie Yin; Xiang-Min Zheng; Ruey-Chyn Tsaur
Journal:  PLoS One       Date:  2019-09-17       Impact factor: 3.240

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