A Mathematical Modeling of Evaluating China's Construction Safety for Occupational Accident Analysis

被引:3
作者
Ma, Qianwei [1 ]
Lusk, Jeffrey Wills [1 ]
Tan, Fabian Hadipriono [1 ]
Parke, Michael Edward [2 ]
Alhumaidi, Hanouf Mohammad [3 ]
Clark, Jordan Douglas [1 ]
机构
[1] Ohio State Univ, Dept Civil Environm & Geodet Engn, 2070 Neil Ave, Columbus, OH 43210 USA
[2] Ohio State Univ, Dept Engn Educ, 2070 Neil Ave, Columbus, OH 43210 USA
[3] Kuwait Univ, Coll Engn & Petr, Safat 13060, Kuwait
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 10期
关键词
construction in China; construction safety; construction accidents; statistical analysis; MANAGEMENT; SYSTEM; LIMITS;
D O I
10.3390/app12105054
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
China has seen a rapid increase in its construction industry in recent years; however, safety conditions of their workers have not improved owing to low education levels and increasing age trend of construction personnel. This study analyzed construction occupations in China from 2010 to 2018 using descriptive analysis, ANOVA and factor analysis. The results showed May, July and August as the deadliest months during the peak of construction activities in the year. No particular day was established as having a higher risk than other days in the week. The most vulnerable times of the day are from 9 AM to 10 AM and 2 PM to 4 PM. A mathematic modeling based on factor analysis, which is the construction safety evaluation score equation, was developed to illustrate regional distribution, and Qinghai Province ranked the worst in construction safety in China. Problems such as poor labor and environment safety management procedures and false reporting or concealed reporting of construction accidents were revealed. Suggestions for improving China's construction safety were also generated. This study enriched statistical analysis results of construction accidents in China and evaluation modeling with an abundant database will serve as a reference for stakeholders and researchers to improve the construction safety situation in China.
引用
收藏
页数:18
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