ANALYZING URBAN CRIME LOCATIONAL FACTORS AND MODELING CRIME RISK TERRAIN USING GIS: A CASE STUDY OF THE CENTRAL URBAN AREA OF WUHAN

doi:10.13959/j.issn.1003-2398.2018.04.006

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HUMAN GEOGRAPHY ›› 2018, Vol. 33 ›› Issue (4) : 33-42. DOI: 10.13959/j.issn.1003-2398.2018.04.006

ANALYZING URBAN CRIME LOCATIONAL FACTORS AND MODELING CRIME RISK TERRAIN USING GIS: A CASE STUDY OF THE CENTRAL URBAN AREA OF WUHAN

ZHUO Rong-rong^1,2, ZHENG Wen-sheng^1,2, ZHENG Tian-ming^1,2

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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 words

crime risk / locational factors / risk terrain / robbery,snatch and theft crime / Wuhan

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ZHUO Rong-rong, ZHENG Wen-sheng, ZHENG Tian-ming. ANALYZING URBAN CRIME LOCATIONAL FACTORS AND MODELING CRIME RISK TERRAIN USING GIS: A CASE STUDY OF THE CENTRAL URBAN AREA OF WUHAN[J]. HUMAN GEOGRAPHY. 2018, 33(4): 33-42 https://doi.org/10.13959/j.issn.1003-2398.2018.04.006

References

[1] Cornish D, Clarke R V. The reasoning criminal:Rational choice perspectives on offending[J]. Criminology, 1986,25(4):933-948.

[2] Cohen L, Felson M. Social change and crime rate trends:A routine activities approach[J]. American Sociological Review, 1979,44(4):588-608.

[3] Wikström P H, Sampson R J. Social mechanisms of community influences on crime and pathways in criminality[M]//Lahey B B, Moffitt T E, Caspi A. Causes of Conduct Disorder and Juvenile Delinquency. New York:Guilford Press, 2003:118-148.

[4] Tompson L, Johnson S, Ashby M, et al. UK open source crime data:Accuracy and possibilities for research[J]. Cartography and Geographic Information Science, 2015,42(2):97-111.

[5] Weisburd D, Bushway S, Lum C, et al. Trajectories of crime at places:A longitudinal study of street segments in the city of Seattle[J]. Criminology, 2004,42(2):283-321.

[6] Curman A S N, Andresen M A, Brantingham P J. Crime and place:A longitudinal examination of street segment patterns in Vancouver, BC[J]. Journal of Quantitative Criminology, 2015,31(1):127-147.

[7] Sampson R J, Raudenbush S W, Earls F. Neighborhoods and violent crime:A multilevel study of collective efficacy[J]. Science, 1997, 277(5328):918-924.

[8] Liggett R, Loukaitou-Sideris A, Iseki H. Journeys to crime:Assessing the effects of a light rail line on crime in the neighborhoods[J]. Journal of Public Transportation, 2003,6(3):85-115.

[9] Johnson S D, Bowers K J. Permeability and burglary risk:Are culdesacs safer?[J]. Journal of Quantitative Criminology, 2010,26(1):89-111.

[10] Browning C R, Jackson A L. The social ecology of public space:Active streets and violent crime in urban neighborhoods[J]. Criminology, 2013,51(4):1009-1043.

[11] Jun H, Hur M. The relationship between walkability and neighborhood social environment:The importance of physical and perceived walkability[J]. Applied Geography, 2015,62:115-124.

[12] Hillier B. The Story of the Crime:Functional, Temporal and Spatial Tendencies in Street Robbery[C]. Istanbul:Proceedings of the 6th International Space Syntax Symposium, 2007.

[13] Wu L, Liu X, Ye X, et al. Permeability, space syntax, and the patterning of residential burglaries in urban China[J]. Applied Geography, 2015,60:261-265.

[14] Eck J E, Clarke R V, Guerette R T, et al. Risky facilities:Crime concentration in homogeneous sets of establishments and facilities[J]. Civil Aviation Economics & Technology, 2007,21(70):225-264.

[15] Groff E. Exploring ‘near’:Characterizing the spatial extent of drinking place influence on crime[J]. Australian & New Zealand Journal of Criminology, 2011,44(2):156-179.

[16] Bowers K. Risky facilities:Crime radiators or crime absorbers? A comparison of internal and external levels of theft[J]. Journal of Quantitative Criminology, 2014,30(3):389-414.

[17] Groff E, McCord E S. The role of neighborhood parks as crime generators[J]. Security Journal, 2012,25(1):1-24.

[18] Smith W R, Frazee S G, Davison E L. Furthering the integration of routine activity theory and social disorganization theories:Small units of analysis and the study of street robbery as a diffusion process[J]. Criminology, 2000,38(2):489-524.

[19] Phipps A G. Crime and disorder, and house sales and prices around the casino sites in Windsor, Ontario, Canada[J]. Canadian Geographer, 2004,48(4):403-432.

[20] Grubesic T H, Pridemore W A. Alcohol outlets and clusters of violence[J]. International Journal of Health Geographics, 2011,10(10):1157-1178.

[21] McCord E S, Ratcliffe J H. Intensity value analysis and the criminogenic effects of land use features on local crime patterns[J]. Crime Patterns and Analysis, 2009,2(1):17-30.

[22] Caplan J M, Kennedy L W, Miller J. Risk terrain modeling:Brokering criminological theory and GIS methods for crime forecasting[J]. Justice Quarterly, 2011,28(2):360-381.

[23] Kennedy L W, Caplan J M, Piza E. Risk clusters, hotspots, and spatial intelligence:Risk terrain modeling as an algorithm for police resource allocation strategies[J]. Journal of Quantitative Criminology, 2011,27(3):339-362.

[24] 张景秋,陈叶龙,孙颖.基于租金的北京城市办公活动经济空间结构解析[J].地理科学,2010,30(6):833-838.[Zhang Jingqiu, Chen Yelong, Sun Ying. Spatial analysis on urban internal economic spatial structure based on rent of office buildings in Beijing city[J]. Scientia Geographica Sinica, 2010,30(6):833-838.]

[25] 程林,王法辉,修春亮.城市银行网点及其与人口-经济活动关系的空间分析——以长春市中心城区为例[J].人文地理,2015,30(4):72-78.[Cheng Lin, Wang Fahui, Xiu Chunliang. Spatial analysis of bank branches and its relationship to popu-economic activities:A case study in Changchun central urban area[J]. Human Geography, 2015,30(4):72-78.]

[26] Bernasco W, Block R. Robberies in Chicago:A block-level analysis of the influence of crime generators, crime attractors, and offender anchor points[J]. Journal of Research in Crime and Delinquency, 2011,48(1):33-57.

[27] 李希慧,廖梅.当代西方理性选择犯罪学思想介评[J].浙江警察学院学报,2004(4):42-45.[Li Xihui, Liao Mei. Review of contemporary western rational choice theory in criminology[J]. Journal of Zhejiang Police College, 2004(4):42-45.]

[28] 希利尔.空间是机器——建筑组构理论(原著第三版)[M].杨滔,张佶,王晓京,译.北京:中国建筑工业出版社,2008:109-137.[Hillier B. Space is the Machine:A Configurational Theory of Architecture[M]. Yang Tao, Zhang Ji, Wang Xiaojing, trans. Beijing:China Architecture & Building Press, 2008:109-137.]

[29] 王发曾.城市犯罪空间盲区的综合治理研究[J].地理研究,2010,29(1):57-67.[Wang Fazeng. Study on the comprehensive treatment of spatial blind areas in urban crime[J]. Geographical Research, 2010, 29(1):57-67.]

[30] 郑文升,卓蓉蓉,罗静,等.基于空间句法的武汉城区"两抢一盗" 犯罪分布环境[J].地理学报,2016,71(10):1710-1720.[Zheng Wensheng, Zhuo Rongrong, Luo Jing, et al. The distribution environment of robbery, snatch and theft crime based on space syntax:A case study of the central area of Wuhan[J]. Acta Geographica Sinica, 2016,71(10):1710-1720.]

[31] 茹斯·康罗伊·戴尔顿,窦强.空间句法与空间认知[J].世界建筑, 2005(11):41-45.[Dalton R C, Dou Qiang. Space syntax and spatial cognition[J]. World Architecture, 2005(11):41-45.]

[32] Johnson D. The space/time behaviour of dwelling burglars:Finding near repeat patterns in serial offender data[J]. Applied Geography, 2013,41:139-146.

[33] Ratcliffe J H, Rengert G F. Near-repeat patterns in Philadelphia shootings[J]. Security Journal, 2008,21(1/2):58-76.

[34] Ratcliffe J H. Near Repeat Calculator:Version 1.3[Z]. Philadelphia, PA and Washington, D C:Temple University and National Institute of Justice, 2009.

[35] 徐冲,柳林,周素红.DP半岛街头抢劫案件的临近重复发生模式[J]. 地理研究,2015,34(2):384-394.[Xu Chong, Liu Lin, Zhou Suhong. Patterns of near-repeat street robbery in DP peninsula[J]. Geographical Research, 2015,34(2):384-394.]