城市犯罪风险区位因子与风险地形分析——以武汉市主城区为例.pdfVIP

人文地理 2018年第4期总第162期 文章编号:1003-2398(2018)04-0033-010 DOI:10.13959/j.issn. 1003-2398.2018.04.006 城市犯罪风险区位因子与风险地形分析 ——以武汉市主城区为例 1，2 1，2 1，2 卓蓉蓉 ，郑文升 ，郑天铭 （1.华中师范大学地理过程分析与模拟湖北省重点实验室，武汉430079 ； 2.湖北省发展和改革委员会/华中师范大学武汉城市圈研究院，武汉430079 ） ANALYZINGANALYZING URBANURBAN CRIMECRIME LOCATIONALLOCATIONAL FACTORSFACTORS ANDAND MODELINGMODELING CRIMECRIME RISKRISK TERRAINTERRAIN USINGUSING GIS:GIS: AA CASECASE STUDYSTUDY OFOF THETHE CENTRALCENTRAL URBANURBAN AREAAREA OFOF WUHANWUHAN ZHUO Rong-rong1,2 , ZHENG Wen-sheng1,2 , ZHENG Tian-ming1,2 (1.Key Laboratory forGeographicalProcessAnalysisSimulation,HubeiProvince,CentralChina NormalUniversity,Wuhan430079,China;2.Academy ofWuhanMetropolitanArea, HubeiDevelopmentandReformCommission,CentralChinaNormal University,Wuhan430079,China) Abstract: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 distribu- tion of crime in study area has a polycentric model