Exploratory Study on the Simulated Police Force Allocation of Shopping Mall Emergency Based on AnyLogic Platform

Abstract

Due to the rapid development of society, public places, especially large shopping malls, are relatively frequent places for emergencies. Such emergencies not only seriously affect public security and property, but also bring great psychological pressure to citizens. Therefore, this study is of great significance for the exploration and study of public place emergencies.The research object of this study is the public shopping mall. Based on the AnyLogic simulation platform and guided by the relevant principles of social force model, this study utilize the pedestrian storehouse in the platform as the core module to build the simulation environment, and attempts to simulate the police force restraining effect on the overall event and the perpetrators after the occur of emergent incident under different police force allocations. In order to ensure the accuracy of the experimental data, the research team conducted field survey to estimate the average flow of people and the general data of the security personnel in shopping malls, also estimated the restrain and capture time after repeated experiments.The results indicate that increasing additional police force outside the shopping malls and pre-organizing reasonable patrol routes can obviously facilitate police officers to restrain perpetrators. Meanwhile, it is also clear that the Anylogic platform can effectively simulate pedestrian movement and interaction behaviour in emergencies.