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Analysis of the Characteristics of Fatal Accidents in the Construction Industry in China Based on Statistical Data

Author

Listed:
  • Qingwei Xu

    (College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China)

  • Kaili Xu

    (School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China)

Abstract

Background : Construction activities not only provide the necessary conditions for citizens to live, but also cause fatal accidents. Methods: This study aimed to reveal the characteristics of fatal accidents in the construction industry in China based on statistical data. From 2010 to 2019, there were 6005 fatal accidents in China’s construction industry causing 7275 deaths. The important features of these fatal accidents, such as the type, time of occurrence, site location, severity, and geographical region of the accident, were carefully analyzed. Results: There were 258 major and severe construction accidents causing 1037 deaths, accounting for 4.3% and 14.25% of the total number of construction accidents and deaths in this period, respectively. As an important finding, more deaths occurred in August and on Mondays. The greatest number of construction accidents took place along openings and edges, accounting for 22.9% of all fatal accidents. Taking into account their economic development level and number of employees, Qinghai and Hainan experienced a higher mortality rate than Jiangsu. Falls from a high place were the dominant type of construction accident, accounting for 51.66% of all accidents. However, collapses were the primary type of major and severe construction accident, accounting for 60.09% of such accidents. The predicted number of construction deaths in 2020 is 887 according to the GM(1,1) model. Corresponding safety measures should be adopted to improve the working environment of the construction industry. Implications: The implications of these results with respect to the characteristics of construction accidents can be regarded as the foundation for accident prevention in practice.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:2162-:d:504130
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    References listed on IDEAS

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    1. InSeok Park & Jonghyeob Kim & Sangwon Han & Changtaek Hyun, 2020. "Analysis of Fatal Accidents and Their Causes in the Korean Construction Industry," Sustainability, MDPI, vol. 12(8), pages 1-13, April.
    2. 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.
    3. Mara Lombardi & Mario Fargnoli & Giuseppe Parise, 2019. "Risk Profiling from the European Statistics on Accidents at Work (ESAW) Accidents′ Databases: A Case Study in Construction Sites," IJERPH, MDPI, vol. 16(23), pages 1-22, November.
    4. Changxi Ma & Jibiao Zhou & Dong Yang, 2020. "Causation Analysis of Hazardous Material Road Transportation Accidents Based on the Ordered Logit Regression Model," IJERPH, MDPI, vol. 17(4), pages 1-25, February.
    5. Moniruzzaman, Syed & Andersson, Ragnar, 2008. "Economic development as a determinant of injury mortality - A longitudinal approach," Social Science & Medicine, Elsevier, vol. 66(8), pages 1699-1708, April.
    6. Bo Shao & Zhigen Hu & Dawei Liu, 2019. "Using Improved Principal Component Analysis to Explore Construction Accident Situations from the Multi-Dimensional Perspective: A Chinese Study," IJERPH, MDPI, vol. 16(18), pages 1-18, September.
    7. Qingwei Xu & Kaili Xu, 2020. "Statistical Analysis and Prediction of Fatal Accidents in the Metallurgical Industry in China," IJERPH, MDPI, vol. 17(11), pages 1-20, May.
    8. Arif Emre Dursun, 2020. "Statistical analysis of methane explosions in Turkey’s underground coal mines and some recommendations for the prevention of these accidents: 2010–2017," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 329-351, October.
    9. Alistair Gibb & Helen Lingard & Michael Behm & Tracy Cooke, 2014. "Construction accident causality: learning from different countries and differing consequences," Construction Management and Economics, Taylor & Francis Journals, vol. 32(5), pages 446-459, May.
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    Cited by:

    1. Chih-Hsiung Chang & Mei-Ling Chuang & Jia-Cheng Tan & Chuen-Chyi Hsieh & Chien-Cheng Chou, 2022. "Indoor Safety Monitoring for Falls or Restricted Areas Using Wi-Fi Channel State Information and Deep Learning Methods in Mega Building Construction Projects," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    2. Sung-Yong Kang & Seongi Min & Deokhee Won & Young-Jong Kang & Seungjun Kim, 2021. "Suggestion of an Improved Evaluation Method of Construction Companies’ Industrial Accident Prevention Activities in South Korea," IJERPH, MDPI, vol. 18(16), pages 1-25, August.
    3. Pouya Gholizadeh & Ikechukwu S. Onuchukwu & Behzad Esmaeili, 2021. "Trends in Catastrophic Occupational Incidents among Electrical Contractors, 2007–2013," IJERPH, MDPI, vol. 18(10), pages 1-24, May.

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