Public Security Early Warning Model Based on Crime Hot Spot

JUAN LUO, JIAN-YING XIONG

Abstract


Crimes have specific distribution characteristics in time, space. It is very important for the public security department to pay attention to and analyze the crime hot spots, especially for the daily life of citizens. This work designs an early warning system for the police and public people through displaying the traditional crime data in a multi-dimensional visual. The dynamic way in time and space is conducive to assisting the decision-making of public security protection. It generated early warning information according to the hot spot map, assisted dispatch police force distribution, and improve the execution of public security work. According to the hot data of crime, it can help to prompt the public security situation and improve personal safety protection awareness based on LBS technology.

Keywords


Public security, Crime hot spots, Early warning, Police force distribution.Text


DOI
10.12783/dtssehs/aems2019/33560

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