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

Author

Listed:
  • Ji-Myong Kim

    (Department of Architectural Engineering, Mokpo National University, Mokpo 58554, Korea)

  • Kiyoung Son

    (Department of Architectural Engineering, University of Ulsan, Ulsan 44610, Korea)

  • Sang-Guk Yum

    (Department of Civil Engineering and Engineering Mechanics, Columbia University, New York, NY 10027, USA)

  • Sungjin Ahn

    (Department of Architectural Engineering, Mokpo National University, Mokpo 58554, Korea)

Abstract

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.

Suggested Citation

  • Ji-Myong Kim & Kiyoung Son & Sang-Guk Yum & Sungjin Ahn, 2020. "Analyzing the Risk of Safety Accidents: The Relative Risks of Migrant Workers in Construction Industry," Sustainability, MDPI, vol. 12(13), pages 1-11, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5430-:d:380750
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    References listed on IDEAS

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    1. Emily Sousa & Andrés Agudelo-Suárez & Fernando Benavides & Marc Schenker & Ana García & Joan Benach & Carlos Delclos & María López-Jacob & Carlos Ruiz-Frutos & Elena Ronda-Pérez & Victoria Porthé, 2010. "Immigration, work and health in Spain: the influence of legal status and employment contract on reported health indicators," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 55(5), pages 443-451, October.
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    Cited by:

    1. Ji-Myong Kim & Kwang-Kyun Lim & Sang-Guk Yum & Seunghyun Son, 2022. "A Deep Learning Model Development to Predict Safety Accidents for Sustainable Construction: A Case Study of Fall Accidents in South Korea," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
    2. Qingwei Xu & Kaili Xu, 2021. "Analysis of the Characteristics of Fatal Accidents in the Construction Industry in China Based on Statistical Data," IJERPH, MDPI, vol. 18(4), pages 1-21, February.
    3. Yao Jiang & Huawei Luo & Fan Yang, 2020. "Influences of Migrant Construction Workers’ Environmental Risk Perception on Their Physical and Mental Health: Evidence from China," IJERPH, MDPI, vol. 17(20), pages 1-18, October.
    4. Ji-Myong Kim & Junseo Bae & Seunghyun Son & Kiyoung Son & Sang-Guk Yum, 2021. "Development of Model to Predict Natural Disaster-Induced Financial Losses for Construction Projects Using Deep Learning Techniques," Sustainability, MDPI, vol. 13(9), pages 1-12, May.
    5. Qiang He & Xin Deng & Chuan Li & Zhongcheng Yan & Yanbin Qi, 2022. "The Impact of Rural Population Mobility on Fertility Intention under the Comprehensive Two-Child Policy: Evidence from Rural China," IJERPH, MDPI, vol. 19(12), pages 1-17, June.

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