Application of Big Data in the Prevention of Work-Related Crimes in Early-Stage Construction Engineering

Abstract

Preventing work-related crimes in the early stages of construction projects is a crucial way to ensure the safety, efficiency, and integrity of construction projects. Big data technology offers great potential to enhance crime prevention strategies through advanced data analytics and predictive models. The early stage of construction projects includes bidding, land acquisition, demolition, approval, and procurement. Work-related crimes in the early stage of construction projects mainly involve corruption, bribery crimes, and dereliction of work-related crimes. This paper discussed the application of big data in the prevention of work-related crimes in the early stage of construction projects. First of all, this paper explored the characteristics of work-related crimes in the early stage of construction projects, and the patterns and types of crimes; secondly, identified the role of big data technology in the prevention of work-related crimes in the early stage of construction projects; finally, based on the survey results and analysis, this paper proposed to use work-related crime prevention strategy of big data technology in the early stage of construction projects. The research used quantitative research methods and simple random sampling to select various construction projects in Zhejiang, Beijing, Shandong, Guangdong, Henan, Jiangsu, Hebei, Hubei, Fujian, and Liaoning, which are the ten regions with the highest occurrence of work-related crimes in China. The target samples of this research included construction workers, construction companies, relevant stakeholders, and professionals closely related to the construction industry. An online questionnaire was administered to the participants for data collection. The collected data were analyzed using descriptive analysis techniques in the Statistical Package for the Social Sciences (SPSS) software. The result of this research demonstrated the importance of big data technology in the prevention of work-related crimes in the early stages of construction projects.