Criminal committing place identification method based on discrete selection model

A technology of discrete selection and identification method, which is applied in the field of identification of criminals' crime sites based on discrete selection model, which can solve the problems of poor model fitting, lack of consideration of crowd flow environment and community crime prevention and control.

Active Publication Date: 2020-04-24
GUANGZHOU UNIVERSITY
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Problems solved by technology

[0004] However, on the whole, there are still some deficiencies in domestic and foreign research on the selection of crime locations. For example, in the verification and analysis of influencing factors, the lack of consideration of the crowd flow environment and the impact of community crime prevention and control has led to the model’s inability to determine the location of criminals. Poor fit of choice

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  • Criminal committing place identification method based on discrete selection model
  • Criminal committing place identification method based on discrete selection model
  • Criminal committing place identification method based on discrete selection model

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specific Embodiment

[0072] See figure 2 First, obtain the data information such as the public security department data, built environment data, mobile phone signaling data, and census data in ZG City, and calculate and classify the crime data, built environment data, and Social environment data, crowd flow data, crime prevention and control data, etc., and use ArcGIS software to effectively integrate multi-source heterogeneous big data to generate attribute sets for each community in the area that needs to be identified. The data used includes but is not limited to: There are two types of data provided by the public security department of ZG City. The first type is the police data on street robberies in ZG City from 2012 to 2016. This type of data has a total of 85,898 police records, recording information about street robbery cases, such as the time and address of the robbery, as well as the objects robbed and property lost. The second category is the arrest data of street robbers in ZG City f...

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Abstract

The invention discloses a criminal committing place identification method based on a discrete selection model, and is mainly applied to the technical field of public safety and criminal geography. According to the method, multi-source spatio-temporal data such as alarm data, arrest data, POI data and mobile phone signaling data are fused, and based on a discrete selection model principle, data such as a crowd flow environment and a crime prevention and control environment are added to carry out precision optimization on a quantitative model of a criminal crime committing place. Compared with abasic model, the fitting precision of the whole model for criminal place selection is improved by 8.63%. According to the method, the expected effect of the criminal on the crime committing place community and the crime committing place selection probability are calculated through an effect function and a probability function, so that the preference of the criminal on the crime committing place selection is accurately identified. By adopting the embodiment provided by the invention, accurate identification of criminal place selection can be realized, the effectiveness and accuracy of identification are improved, and an important reference role is played for police affair prevention and control.

Description

technical field [0001] The invention relates to the technical fields of public security and crime geography, in particular to a discrete choice model-based method for identifying criminal locations. Background technique [0002] How to create a social environment with public safety, social stability, and high-quality and high-efficiency has always been a major challenge in the comprehensive management of social security in China. In the current process of urbanization in our country, how to absorb a lot of experience and lessons in the past, use big data to analyze the choice behavior of criminals, find out the law or trend, and carry out crime prevention and control to solve the traditional thinking of crime problems is a social problem. The focus of attention from all walks of life. [0003] Discrete Spatial Choice Modling is widely used to analyze choice behavior in microeconomics. It is based on the theory of random utility and assumes that a decision maker must make a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G06Q10/06G06Q50/26
CPCG06F17/18G06Q10/0639G06Q50/26
Inventor 龙冬平柳林徐铭恩徐冲肖露子宋广文陈建国
Owner GUANGZHOU UNIVERSITY
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