Author(s)

LiNing Yuan¹, SuZhen Luo², ZhiSong Wu³, ZhongYu Xing^1*

Affiliation(s)

¹School of Information Technology, Guangxi Police College, Nanning 53028, Guangxi, China.

²Ministry of Public Sports, Guangxi Police College,Nanning 53028, Guangxi, China.

³School of Public Policy and Management, Guangxi Police College,Nanning 53028, Guangxi, China.

Corresponding Author

ZhongYu Xing

ABSTRACT

Under the new security situation, the problem of urban theft and crime is becoming increasingly prominent, posing a serious threat to social security and stability. The traditional crime governance model has limitations in post investigation and passive defense, making it difficult to achieve early warning and active intervention in crime. In view of this, by constructing a theoretical model of urban theft crime situational awareness based on big data and artificial intelligence, and leveraging the role of public safety intelligence as a "prophet, first mover, and first mover", we can assist in risk identification and monitoring under the background of "big security", promote the forward movement of risk warning "gateway", and provide solid theoretical support for establishing a modern public safety prevention and governance system that is globally linked and three-dimensional efficient. This is of great significance for promoting the intelligent and precise development of urban security and governance.

KEYWORDS

Urban theft crime; Situational awareness; Data mining

CITE THIS PAPER

LiNing Yuan, SuZhen Luo, ZhiSong Wu, ZhongYu Xing. Situation awareness theory model for urban theft crime. Trends in Social Sciences and Humanities Research. 2025, 3(2): 7-12. DOI: https://doi.org/10.61784/tsshr3137.

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