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This paper intends to investigate the role of individual factors(personality traits and injury experience) on construction workers' unsafe behaviors and find out a way to incorporate them into improving the effectiveness of current on-site safety management. For the given purpose, three steps have been conducted. Firstly, the hypothesis on the relationship between injury experience and risk propensity was made based on the cognitive psychology and big-five theory, as well as the moderating effects of personality traits(OCEAN) on the route of risk propensity leading to unsafe acts. Secondly, the method of constructing a discriminant tool using personality traits to identify the level of unsafe behavior intentions was studied. Lastly, the results of the analysis were applied to design a personalized safety management program involving safety instruction and safety training. 533 valid data on injury experience, personality traits, risk propensity, and unsafe behavior intention were found in the previous social survey. The data were grouped in terms of risk propensity and behavior intention based on the cumulative probability distribution. Through the ANOVA analysis, it has been found that there is a significant difference in risk propensity between the workers with injury experience and the workers without injury experience. The worker with a high-risk propensity or unsafe behavior intention has been found to have the common characteristics of low agreeableness and conscientiousness, and high openness and extraversion. Openness, extraversion, and agreeableness were found to be mediators in the relationship between risk propensity and unsafe behavior intention through the moderating analysis. Moreover, the former two have positive effects and the latter has a negative effect. Besides, it has been found that the unsafe behavior intention can be identified by personality traits through the discriminant analysis. Thus, it can be concluded that personality traits are the indicators of unsafe behavior intention and should be considered in safety practice. With the help of technologies such as IoT and wearable sensors, the contents and delivery method design of safety instruction can take personality traits into account, as well as the contents and intensity setting of safety training, to obtain the personalization of construction safety management.
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Basic Information:
DOI：10.13637/j.issn.1009-6094.2021.2124
China Classification Code:TU714
Citation Information:
[1]HU Zhe,HU Hao,XU Feng ,et al.Research on personalized safety management for construction workers considering personality traits[J].Journal of Safety and Environment,2023,23(04):1194-1201.DOI:10.13637/j.issn.1009-6094.2021.2124.
2022-03-16
2022-03-16
2022-03-16