Comprehensive assessment model on accident situations of the construction industry in China: a macro-level perspective

    Bo Shao Affiliation
    ; Zhigen Hu Affiliation
    ; Liyang Tong Affiliation
    ; Xiazhong Zheng Affiliation
    ; Dawei Liu Affiliation


As one of the most high-risk sections, the construction industry has traditionally been the research hotspot. Yet little attention has been paid to macro-level accident situations of the entire industry. Therefore, this study develops a comprehensive assessment model on accident situations of Chinese building industry, aiming at assisting the government to better understand and improve accident situations of the entire industry. Based on China conditions, six indicators related to accident situations are firstly selected to establish an indicator system; then structure entropy weight method is proposed to determine indicator weighs, with dynamic classification method to explore the characteristics of accident situations. The results demonstrate that the provinces with poor accident situations account for 53% of all provinces, and they are mainly distributed in the central and western regions of China where there exist the underdeveloped economy. Meanwhile, some provinces experience poor accident situations that could be out-of-control, especially for Hebei. Provinces in the southeastern and northeastern regions of China perform relatively well, but they still have much improvement room for accident situations. The findings validate the rationality of the developed model and can provide valuable insights of safety regulation strategies for the government from the macro-level perspective.

First published online 17 December 2019

Keyword : construction industry, accident situation, structure entropy weight method (SEWM), dynamic classification method (DCM), macro-level perspective

How to Cite
Shao, B., Hu, Z., Tong, L., Zheng, X., & Liu, D. (2020). Comprehensive assessment model on accident situations of the construction industry in China: a macro-level perspective. Journal of Civil Engineering and Management, 26(1), 14-28.
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Jan 6, 2020
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