How to prevent and control community risks?Identifying community burglary risk hotspots based on time-space characteristics

Abstract

Community security and risk management is essential for urban governance. To identify community risks more accurately, the space-time characteristics of community burglary cases in a community located in C city are analyzed in this study based on data from 2018 to 2020 using the hot police theory. The results are as follows: (1) In terms of time, the occurrence of theft cases is closely related to seasonal changes and daily work and rest and is affected by social activities. (2) In terms of space, the type of community and surrounding environment affect the generation and distribution of household theft hotspots, while urban planning and reconstruction cause the dissipation and transfer of hotspots. Therefore, to prevent and control risk, infrastructure and urban environment renovation should be carried out, community governance efficiency should be improved, and police work mode should be transformed to avoid potential hotspots, except for targeted interventions on existing hotspots.