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人文地理  2017, Vol. 32 Issue (6): 32-38,46    DOI: 10.13959/j.issn.1003-2398.2017.06.004
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不同类型道路密度对公共空间盗窃犯罪率的影响——基于ZG市的实证研究
柳林1,2, 杜方叶1, 肖露子1, 宋广文1, 刘凯1, 姜超1
1. 中山大学 地理科学与规划学院, 综合地理信息研究中心, 广州 510275;
2. 辛辛那提大学 地理系, 辛辛那提OH 45221-0131
THE DENSITY OF VARIOUS ROAD TYPES AND LARCENY RATE: AN EMPIRICAL ANALYSIS OF ZG CITY
LIU Lin1,2, DU Fang-ye1, XIAO Lu-zi1, SONG Guang-wen1, LIU Kai1, JIANG Chao1
1. Center of Integrated Geographic Information Analysis, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China;
2. Department of Geography, University of Cincinnati, Cincinnati OH 45221-0131, USA

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摘要 道路密度对犯罪分布存在影响已得到大多数学者的证实,但忽略了不同类型道路属性的差异对犯罪的影响。不同类型道路在社会—建成环境等各种属性方面存在较大的差异,因此明确不同类型道路密度对公共空间盗窃犯罪率存在的影响有助于犯罪的防控。基于此,本文以派出所为单元构建多元线性回归模型进行研究。研究发现,不同类型道路密度对公共空间盗窃犯罪率影响不同:城市次干道、城市支路和其他可通车道路密度对公共空间盗窃犯罪率有正向影响;不可通车道路密度对公共空间盗窃犯罪率有负向影响;城市主干道密度对公共空间盗窃犯罪率影响不显著。不同类型道路社会—建成环境的差异是公共空间盗窃犯罪率不同的原因。研究结果可为犯罪精准防控提供指导。
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关键词 道路类型公共空间盗窃日常活动理论社会-建成环境    
Abstract:Spatial crime patterns have found to be related to street network, yet previous studies have not distinguished the heterogeneous influences of different types of road. Different social and physical environments are attached with different types of road, and they may impose different impacts on the occurrence of crime events. Of all the crime types, larceny is one of the most frequent crimes in the ZG city, and is closely associated with citizens' routine activities and their behavioral environments. Based on the routine activity theory, social disorder theory, crime pattern theory, and rational choice theory, this paper examines the impacts of different types of road on the spatial distribution of larceny with social-physical features taken as control variables. For the analysis, 91990 records of larceny are extracted from the call for services data in the ZG city police department, while the sixth census and points of interest from commercial navigation data sets are collected to represent the social-physical environment of the ZG city. Multiple linear regressions are used to quantitatively test the theoretical expectations. The regression results have confirmed the theoretical expectation that the densities of different types of road have diverse influences on the spatial larceny pattern. The densities of the secondary road, branch road, other vehicle-passable road, and pedestrian road are significantly associated with the larceny rate.
Key wordsroad type    larceny    routine activity theory    social-physical environment   
收稿日期: 2016-09-05     
基金资助:

国家自然科学基金重点项目(41531178);广东省自然科学基金研究团队项目(2014A030312010);广东省科技计划项目(2015A020217003)

作者简介: 柳林(1965-),男,湖南湘潭人,教授,博士生导师,主要研究方向为犯罪空间模拟,多智能体模拟,GIS应用等。E-mail:liulin2@mail.sysu.edu.cn。
引用本文:   
柳林, 杜方叶, 肖露子, 宋广文, 刘凯, 姜超. 不同类型道路密度对公共空间盗窃犯罪率的影响——基于ZG市的实证研究[J]. 人文地理, 2017, 32(6): 32-38,46. LIU Lin, DU Fang-ye, XIAO Lu-zi, SONG Guang-wen, LIU Kai, JIANG Chao. THE DENSITY OF VARIOUS ROAD TYPES AND LARCENY RATE: AN EMPIRICAL ANALYSIS OF ZG CITY. HUMAN GEOGRAPHY, 2017, 32(6): 32-38,46.
链接本文:  
http://rwdl.xisu.edu.cn/CN/10.13959/j.issn.1003-2398.2017.06.004      或     http://rwdl.xisu.edu.cn/CN/Y2017/V32/I6/32
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