Analyzing the Risk of Safety Accidents: The Relative Risks of Migrant Workers in Construction Industry

• Main Authors: Ji-Myong Kim, Kiyoung Son, Sang-Guk Yum, Sungjin Ahn
• Format: Article
• Language: English
• Published: MDPI AG 2020-07-01
• Series: Sustainability
• Subjects: migrant worker; safety management; t-test; multiple regression analysis
• Online Access: https://www.mdpi.com/2071-1050/12/13/5430

This study analyzed the relative risks of migrant workers, and identified risk factors based on quantitative data for the systematic safety management of migrant workers. Many studies have found that migrant workers are more vulnerable to safety accidents than non-migrant workers. Nevertheless, there are few quantitative studies of migrant workers’ accident-risk in the construction industry, where safety accidents are most frequent. In addition, safety management for the identified accident risk factors has not been implemented systematically. To fill the gap, this study uses safety accident data from construction sites, from the +, for the methodical safety management of migrant workers. The t-test and multiple regression analysis methods are used to define the variance in non-migrant and migrant workers, and the risk indicators, respectively. The two analyses show that the results for migrant construction workers were 2.2% higher in safety accident severity than non-migrant workers, and significant factors are also different. This study’s results will provide critical guidance for the safety management of migrant construction workers.