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HUMAN GEOGRAPHY  2018, Vol. 33 Issue (4): 33-42    DOI: 10.13959/j.issn.1003-2398.2018.04.006
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ANALYZING URBAN CRIME LOCATIONAL FACTORS AND MODELING CRIME RISK TERRAIN USING GIS: A CASE STUDY OF THE CENTRAL URBAN AREA OF WUHAN
ZHUO Rong-rong1,2, ZHENG Wen-sheng1,2, ZHENG Tian-ming1,2
1. Key Laboratory for Geographical Process Analysis & Simulation, Hubei Province, Central China Normal University, Wuhan 430079, China;
2. Academy of Wuhan Metropolitan Area, Hubei Development and Reform Commission, Central China Normal University, Wuhan 430079, China

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Abstract  Taking the central area of Wuhan as case study area, the case judgment of robbery, grabbing and theft as the data source, then eight crime risk factors including office buildings, automated teller machines, configuration of urban road network, commercial facilities, bus and subway stations, hospitals, internet bars, and crime near repeats were selected to be crime locational factors for the consideration of both previous studies and data availability. The main findings of this study included the following:1) Using kernel density tool to analyze the spatial distribution of robbery, snatch and theft crime, it showed that the spatial distribution of crime in study area has a polycentric model as a whole. 2) The output calculated by ordinary least squares (OLS) indicated that there is a high correlation between crime risk locational factors and crime spatial distribution. 3) Categorizing the high risk area type into three categories, including city business center, railway station hub, urban village and rural-urban fringe zone. 4) To modeling the crime risk terrain of the central area of Wuhan city, this study applied weighted sum tool, multiplied each crime risk factors by their given weight and summing them together.
Key wordscrime risk      locational factors      risk terrain      robbery,snatch and theft crime      Wuhan     
Received: 17 November 2017     
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http://rwdl.xisu.edu.cn/EN/10.13959/j.issn.1003-2398.2018.04.006      OR     http://rwdl.xisu.edu.cn/EN/Y2018/V33/I4/33
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