A REVIEW OF STUDIES ON GEOGRAPHY OF CRIME IN WESTERN COUNTRIES SINCE 2000
ZHUO Rong-rong1,2, LI Luan-luan1,2, YU Bin1,2, ZHENG Wen-sheng1,2
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
Abstract：Geography of crime focuses mainly on the spatio-temporal patterns of the occurrence, development and distribution of crime. Since 20th century, many scholars devoted themselves to the study on geography of crime and kept its continuous development and innovation. Study on geography of crime in China started in the early 1980s, several scholars reviewed the researches in this field for the sake of pushing forward its domestic development. However, because of its rapidly development, the progress and innovation of studies on geography of crime in western countries since the new century have not been introduced systematically and comprehensively for the present. To understanding the process of the study of geography of crime in western countries, this paper gathered about 500 articles published after 2000, and made reference to the articles published in leading criminology and geography journals, such as Annals of the Association of American Geographers, Progress in Human Geography, Applied Geography, Professional Geographer, Criminology, Journal of Quantitative Criminology, and more. Overall, the recently rapid growth in geography of crime, contributed largely by innovative research methods and multidisciplinary analysis, is primarily embodies in the exploration of behavioral process and mechanism of crime. Specifically, the progresses in spatial and temporal patterns ofcrime, effect of social and physical environment on criminal behavior, crime simulations and criminal profiling, and crime prevention through environmental design are making the system and development course ofthe geography of crime become increasingly clear.
卓蓉蓉, 李峦峦, 余斌, 郑文升. 21 世纪以来西方犯罪地理研究述评[J]. 人文地理, 2017, 32(2): 16-22,36.
ZHUO Rong-rong, LI Luan-luan, YU Bin, ZHENG Wen-sheng. A REVIEW OF STUDIES ON GEOGRAPHY OF CRIME IN WESTERN COUNTRIES SINCE 2000. HUMAN GEOGRAPHY, 2017, 32(2): 16-22,36.
San-Juan C, Vozmediano L, Vergara A. Self-protective behaviours against crime in urban settings: An empirical approach to vulnerability and victimization models[J]. European Journal of Criminology, 2012,9(6):652-667.
[59]
Breetzke G D, Pearson A L. The fear factor: Examining the spatialvariability of recorded crime on the fear of crime[J]. Applied Geography, 2014,46:45-52.
[49]
Immergluck D, Smith G. The impact of single-family mortgage foreclosures on neighborhood crime[J]. Housing Studies, 2006,21 (6):851-866.
[1]
Shaw C R, McKay H D. Delinquency and Urban Areas[M]. Chicago: University of Chicago Press, 1969:442-446.
[55]
Alkimim A, Clarke K C, Oliveira F S. Fear, crime, and space: The case of Viçosa, Brazil[J]. Applied Geography, 2013,42:124-132.
[60]
Morenoff J D, Sampson R J, Raudenbush S W, et al. Neighborhood inequality, collective efficacy, and the spatial dynamics of urban violence[ J]. Criminology, 2001,39(3):517-558.
[50]
Curtis A, Mills J W. Crime in urban post-disaster environments: A methodological framework from New Orleans[J]. Urban Geography, 2011,32(4):488-510.
[2]
Clarke R V. Situational crime prevention[J]. Crime and Justice, 1995,19:91-150.
[56]
Wilcox P, Quisenberry N, Jones S. The built environment and community crime risk interpretation[J]. Journal of Research in Crime and Delinquency, 2003,40(3):322-345.
[61]
Swatt M L, Varano S P, Uchida C D, et al. Fear of crime, incivilities, and collective efficacy in four Miami neighborhoods[J]. Journal of Criminal Justice, 2013,41(1):1-11.
[51]
Simons R L, Burt C H. Learning to be bad: Adverse social conditions, social schemas, and crime[J]. Criminology, 2011,49(2):553-598.
[3]
Beavon D J K, Brantingham P L, Brantingham P J. The influence of street networks on the patterning of property offenses[J]. Crime Prevention Studies, 1994,2:115-148.
[57]
Scarborough B K, Like-Haislip T Z, Novak K J, et al. Assessing the relationship between individual characteristics, neighborhood context, and fear of crime[J]. Journal of Criminal Justice, 2010,38(4): 819-826.
[62]
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.
[4]
祝晓光.犯罪地理学初探[J].河北师范大学学报(哲学社会科学版), 1986,9(3):113-118. [Zhu Xiaoguang. A primary exploration on the geography of crime[J]. Journal of Hebei Normal University(Philosophy and Social Sciences Edition), 1986,9(3):113-118.]
[5]
王发曾.国外城市犯罪的地理研究[J].人文地理,1988,3(2):76-82.[Wang Fazeng. The geographic research of urban crime abroad[J]. Human Geography, 1988,3(2):76-82.]
[6]
徐磊青.以环境设计防止犯罪研究与实践30 年[J].新建筑,2003(6): 4-7. [Xu Leiqing. Research and practice of CPTED in architectural design and community planning[J]. New Architecture, 2003(6):4-7.]
[7]
孙峰华,魏晓.犯罪地理学研究的新进展[J].人文地理,2004,19(5): 60-63. [Sun Fenghua, Wei Xiao. New advance of study on criminal geography[J]. Human Geography, 2004,19(5):60-63.]
[8]
毛媛媛,戴慎志.国外城市空间环境与犯罪关系研究的剖析和借鉴[J].国际城市规划,2008,23(4):104-109. [Mao Yuanyuan, Dai Shenzhi. Analysis and enlightenment of the relationship between urban environment and crime-based on the perspective of urban planning[J]. Urban Planning International, 2008,23(4):104-109.]
[9]
刘大千,修春亮.国内外犯罪地理学研究进展评析[J].人文地理, 2012,27(2):38-44. [Liu Daqian, Xiu Chunliang. Review of studies on criminal geography[J]. Human Geography, 2012,27(2):38-44.]
[10]
程薇,吴健平.国外犯罪时空分布研究综述[J].世界地理研究,2013, 22(2):151-158. [Cheng Wei, Wu Jianping. A research review on spatio-temporal distribution of crime[J]. World Regional Studies, 2013,22(2):151-158.]
[11]
陆娟,汤国安,张宏,等.犯罪热点时空分布研究方法综述[J].地理科 学进展,2012,31(4):419-425. [Lu Juan, Tang Guoan, Zhang Hong, et al. A review of research methods for spatiotemporal distribution of the crime hot spots[J]. Progress in Geography, 2012,31(4):419-425.]
[12]
严小兵,焦华富.犯罪地理国际研究进展[J].地理科学进展,2012,31 (10):1390-1398. [Yan Xiaobing, Jiao Huafu. A review on the foreign criminal geography research[J]. Progress in Geography, 2012, 31(10):1390-1398.]
[52]
Wikström P H, Ceccato V, Hardie B, et al. Activity fields and the dynamics of crime: Advancing knowledge about the role of the environment in crime causation[J]. Journal of Quantitative Criminology, 2010,26(1):55-87.
[58]
Pauwels L, Stefaan P. Assessing cross-cultural validity of fear of crime measures through comparisons between linguistic communities in Belgium[J]. European Journal of Criminology, 2005,2(2): 139-159.
[63]
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.
[13]
Ratcliffe J H. Aoristic signatures and the spatio-temporal analysis of high volume crime patterns[J]. Journal of Quantitative Criminology, 2002,18(1):23-43.
[53]
Koskela H, Pain R. Revisiting fear and place: Women's fear of attack and the built environment[J]. Geoforum, 2000,31(2):269-280.
[59]
Breetzke G D, Pearson A L. The fear factor: Examining the spatialvariability of recorded crime on the fear of crime[J]. Applied Geography, 2014,46:45-52.
[64]
Johnson S D, Bowers K J. Permeability and burglary risk: Are culde-sacs safer?[J]. Journal of Quantitative Criminology, 2010,26(1): 89-111.
[14]
Andresen M A, Malleson N. Crime seasonality and its variations across space[J]. Applied Geography, 2013,43:25-35.
[54]
San-Juan C, Vozmediano L, Vergara A. Self-protective behaviours against crime in urban settings: An empirical approach to vulnerability and victimization models[J]. European Journal of Criminology, 2012,9(6):652-667.
[60]
Morenoff J D, Sampson R J, Raudenbush S W, et al. Neighborhood inequality, collective efficacy, and the spatial dynamics of urban violence[ J]. Criminology, 2001,39(3):517-558.
[65]
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.
[15]
Ye X, Xu X, Lee J, et al. Space-time interaction of residential burglaries inWuhan, China[J]. Applied Geography, 2015,60:210-216.
[55]
Alkimim A, Clarke K C, Oliveira F S. Fear, crime, and space: The case of Viçosa, Brazil[J]. Applied Geography, 2013,42:124-132.
[66]
Hillier B. Space is the Machine: A Configurational Theory of Architecture[ M]. London: Cambridge University Press, 2007:110-170.
[61]
Swatt M L, Varano S P, Uchida C D, et al. Fear of crime, incivilities, and collective efficacy in four Miami neighborhoods[J]. Journal of Criminal Justice, 2013,41(1):1-11.
[16]
Ceccato V, Uittenbogaard A C. Space-time dynamics of crime in transport nodes[J]. Annals of the Association of American Geographers, 2014,104(1):131-150.
[56]
Wilcox P, Quisenberry N, Jones S. The built environment and community crime risk interpretation[J]. Journal of Research in Crime and Delinquency, 2003,40(3):322-345.
[67]
Hillier B, Sahbaz O. Safety in numbers: High-resolution analysis of crime in street networks[M] //Ceccato V. The Urban Fabric of Crime and Fear. Berlin: Springer Netherlands, 2011:111-137.
[62]
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.
[17]
Kelly A B, Kelly N M. Validating the remotely sensed geography of crime: A review of emerging issues[J]. Remote Sensing, 2014,6 (12):12723-12751.
[57]
Scarborough B K, Like-Haislip T Z, Novak K J, et al. Assessing the relationship between individual characteristics, neighborhood context, and fear of crime[J]. Journal of Criminal Justice, 2010,38(4): 819-826.
[68]
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.
[63]
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.
[18]
Levine N. Crime mapping and the Crimestat program[J]. Geographical Analysis, 2006,38(1):41-56.
[69]
Eck J E, Clarke R V, University R, et al. Risky facilities: Crime concentration in homogeneous sets of establishments and facilities[J]. Crime Prevention Studies, 2007,21:225-264.
[58]
Pauwels L, Stefaan P. Assessing cross-cultural validity of fear of crime measures through comparisons between linguistic communities in Belgium[J]. European Journal of Criminology, 2005,2(2): 139-159.
[64]
Johnson S D, Bowers K J. Permeability and burglary risk: Are culde-sacs safer?[J]. Journal of Quantitative Criminology, 2010,26(1): 89-111.
[19]
Andresen M A, Linning S J. The (in)appropriateness of aggregating across crime types[J]. Applied Geography, 2012,35(1/2):275-282.
[59]
Breetzke G D, Pearson A L. The fear factor: Examining the spatialvariability of recorded crime on the fear of crime[J]. Applied Geography, 2014,46:45-52.
[70]
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.
[65]
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.
[20]
Drawve G, Walker J T, Felson M. Juvenile offenders: An examination of distance-to-crime and crime clusters[J]. Cartography and Geographic Information Science, 2015,42(2):122-133.
[60]
Morenoff J D, Sampson R J, Raudenbush S W, et al. Neighborhood inequality, collective efficacy, and the spatial dynamics of urban violence[ J]. Criminology, 2001,39(3):517-558.
[71]
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.
[66]
Hillier B. Space is the Machine: A Configurational Theory of Architecture[ M]. London: Cambridge University Press, 2007:110-170.
[21]
Andresen M. A spatial analysis of crime in Vancouver, British Columbia: A synthesis of social disorganization and routine activity theory[J]. Canadian Geographer, 2006,50(4):487-502.
[61]
Swatt M L, Varano S P, Uchida C D, et al. Fear of crime, incivilities, and collective efficacy in four Miami neighborhoods[J]. Journal of Criminal Justice, 2013,41(1):1-11.
[67]
Hillier B, Sahbaz O. Safety in numbers: High-resolution analysis of crime in street networks[M] //Ceccato V. The Urban Fabric of Crime and Fear. Berlin: Springer Netherlands, 2011:111-137.
[72]
Groff E, McCord E S. The role of neighborhood parks as crime generators[ J]. Security Journal, 2012,25(1):1-24.
[22]
Lockwood D. Mapping crime in Savannah: social disadvantage, land use, and violent crimes reported to the police[J]. Social Science Computer Review, 2007,25(2):194-209.
[62]
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.
[68]
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.
[73]
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.
[23]
O'Loughlin J, Witmer F. The localized geographies of violence in the North Caucasus of Russia, 1999-2007[J]. Annals of the Association of American Geographers, 2011,101(1):178-201.
[69]
Eck J E, Clarke R V, University R, et al. Risky facilities: Crime concentration in homogeneous sets of establishments and facilities[J]. Crime Prevention Studies, 2007,21:225-264.
[74]
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.
[63]
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.
[24]
Liu H, Brown D E. Criminal incident prediction using a point-pattern-based density model[J]. International Journal of Forecasting, 2003,19(4):603-622.
[75]
Grubesic T H, Pridemore W A. Alcohol outlets and clusters of violence[ J]. International Journal of Health Geographics, 2011,10:30.
[70]
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.
[64]
Johnson S D, Bowers K J. Permeability and burglary risk: Are culde-sacs safer?[J]. Journal of Quantitative Criminology, 2010,26(1): 89-111.
[25]
Nakaya T, Yano K. Visualising crime clusters in a space-time cube: an exploratory data-analysis approach using space-time kernel density estimation and scan statistics[J]. Transactions in GIS, 2010,14(3):223-239.
[76]
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.
[65]
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.
[71]
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.
[26]
Wang D, Ding W, Lo H, et al. Understanding the spatial distribution of crime based on its related variables using geospatial discriminative patterns[J]. Computers, Environment and Urban Systems, 2013,39(3):93-106.
[77]
Groff E R, Lockwood B. Criminogenic facilities and crime across street segments in Philadelphia: Uncovering evidence about the spatial extent of facility influence[J]. Journal of Research in Crime and Delinquency, 2014,51(3):277-314.
[66]
Hillier B. Space is the Machine: A Configurational Theory of Architecture[ M]. London: Cambridge University Press, 2007:110-170.
[72]
Groff E, McCord E S. The role of neighborhood parks as crime generators[ J]. Security Journal, 2012,25(1):1-24.
[27]
Keizer K, Lindenberg S, Steg L. The spreading of disorder[J]. Science, 2008,322(12):1681-1685.
[78]
Breetzke G D. The effect of altitude and slope on the spatial patterning of burglary[J]. Applied Geography, 2012,34:66-75.
[67]
Hillier B, Sahbaz O. Safety in numbers: High-resolution analysis of crime in street networks[M] //Ceccato V. The Urban Fabric of Crime and Fear. Berlin: Springer Netherlands, 2011:111-137.
[73]
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.
[28]
Short M B, Brantingham P J, Bertozzi A L, et al. Dissipation and displacement of hotspots in reaction-diffusion models of crime[J]. Proceedings of the National Academy of Sciences, 2010,107(9): 3961-3965.
[68]
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.
[79]
Wolfe M K, Mennis J. Does vegetation encourage or suppress urban crime? Evidence from Philadelphia, PA[J]. Landscape and Urban Planning, 2012,108(2-4):112-122.
[74]
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.
[29]
Ratcliffe J H, Breen C. Crime diffusion and displacement: Measuring the side effects of police operations[J]. Professional Geographer, 2011,63(2):230-243.
[69]
Eck J E, Clarke R V, University R, et al. Risky facilities: Crime concentration in homogeneous sets of establishments and facilities[J]. Crime Prevention Studies, 2007,21:225-264.
[80]
Nyabvedzi F, Chirisa I. Spatial security and quest of solutions to crime in neighbourhoods in Urban Zimbabwe: Case in Marlborough East, Harare[J]. Journal of Geography and Regional Planning, 2012,5(3):68-79.
[75]
Grubesic T H, Pridemore W A. Alcohol outlets and clusters of violence[ J]. International Journal of Health Geographics, 2011,10:30.
[30]
Cahill M. Using the weighted displacement quotient to explore crime displacement from public housing redevelopment sites[J]. Cityscape, 2011,13(3):103-134.
[81]
Groff E R. Simulation for theory testing and experimentation: An example using routine activity theory and street robbery[J]. Journal of Quantitative Criminology, 2007,23(2):75-103.
[76]
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.
[70]
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.
[31]
Bernasco W, Johnson S D, Ruiter S. Learning where to offend: Effects of past on future burglary locations[J]. Applied Geography, 2015,60:120-129.
[82]
Malleson N, Heppenstall A, See L, et al. Using an agent-based crime simulation to predict the effects of urban regeneration on individual household burglary risk[J]. Environment and Planning B: Planning and Design, 2013,40(3):405-426.
[77]
Groff E R, Lockwood B. Criminogenic facilities and crime across street segments in Philadelphia: Uncovering evidence about the spatial extent of facility influence[J]. Journal of Research in Crime and Delinquency, 2014,51(3):277-314.
[71]
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.
[32]
Townsley M, Homel R, Chaseling J. Infectious burglaries: A test of the near repeat hypothesis[J]. British Journal of Criminology, 2003, 43(3):615-633.
[78]
Breetzke G D. The effect of altitude and slope on the spatial patterning of burglary[J]. Applied Geography, 2012,34:66-75.
[83]
Caplan J M, Kennedy LW, Miller J. Risk terrain modeling: Brokering criminological theory and GIS methods for crime forecasting[J]. Justice Quarterly, 2011,28(2):360-381.
[72]
Groff E, McCord E S. The role of neighborhood parks as crime generators[ J]. Security Journal, 2012,25(1):1-24.
[33]
Johnson S D, Bernasco W, Bowers K J, et al. Space-time patterns of risk: A cross national assessment of residential burglary victimization[ J]. Journal of Quantitative Criminology, 2007,23(3):201-219.
[79]
Wolfe M K, Mennis J. Does vegetation encourage or suppress urban crime? Evidence from Philadelphia, PA[J]. Landscape and Urban Planning, 2012,108(2-4):112-122.
[84]
Kennedy LW, 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.
[73]
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.
[34]
Short M B, D Orsogna M R, Brantingham P J, et al. Measuring and modeling repeat and near-repeat burglary effects[J]. Journal of Quantitative Criminology, 2009,25(3):325-339.
[80]
Nyabvedzi F, Chirisa I. Spatial security and quest of solutions to crime in neighbourhoods in Urban Zimbabwe: Case in Marlborough East, Harare[J]. Journal of Geography and Regional Planning, 2012,5(3):68-79.
[85]
Groff E R. 'Situating' simulation to model human spatio-temporal interactions: An example using crime events[J]. Transactions in GIS, 2007,11(4):507-530.
[74]
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.
[35]
Vandeviver C, Neutens T, van Daele S, et al. A discrete spatial choice model of burglary target selection at the house-level[J]. Applied Geography, 2015,64:24-34.
[86]
Malleson N, Heppenstall A, See L. Crime reduction through simulation: An agent-based model of burglary[J]. Computers, Environment and Urban Systems, 2010,34(3):236-250.
[75]
Grubesic T H, Pridemore W A. Alcohol outlets and clusters of violence[ J]. International Journal of Health Geographics, 2011,10:30.
[81]
Groff E R. Simulation for theory testing and experimentation: An example using routine activity theory and street robbery[J]. Journal of Quantitative Criminology, 2007,23(2):75-103.
[36]
Ward J T, Nobles M R, Youstin T J, et al. Placing the neighborhood accessibility-burglary link in social-structural context[J]. Crime & Delinquency, 2014,60(5):739-763.
[87]
Malleson N, Birkin M. Analysis of crime patterns through the integration of an agent-based model and a population microsimulation[J]. Computers, Environment and Urban Systems, 2012,36(6):551-561.
[82]
Malleson N, Heppenstall A, See L, et al. Using an agent-based crime simulation to predict the effects of urban regeneration on individual household burglary risk[J]. Environment and Planning B: Planning and Design, 2013,40(3):405-426.
[76]
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.
[37]
Tompsona L, Johnsona S, Ashbya M, et al. UK open source crime data: Accuracy and possibilities for research[J]. Cartography and Geographic Information Science, 2015,42(2):97-111.
[88]
Liu L, Wang X, Eck J, et al. Simulating crime events and crime patterns in RA/CA model[M] //Wang F. Geographic Information Systems and Crime Analysis. Singapore: Idea Group, 2005:197-213.
[77]
Groff E R, Lockwood B. Criminogenic facilities and crime across street segments in Philadelphia: Uncovering evidence about the spatial extent of facility influence[J]. Journal of Research in Crime and Delinquency, 2014,51(3):277-314.
[83]
Caplan J M, Kennedy LW, Miller J. Risk terrain modeling: Brokering criminological theory and GIS methods for crime forecasting[J]. Justice Quarterly, 2011,28(2):360-381.
[38]
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.
[89]
Spicer V, Reid A A, Ginther J, et al. Bars on blocks: A cellular automata model of crime and liquor licensed establishment density[J]. Computers, Environment and Urban Systems, 2012,36(5):412-422.
[78]
Breetzke G D. The effect of altitude and slope on the spatial patterning of burglary[J]. Applied Geography, 2012,34:66-75.
[84]
Kennedy LW, 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.
[39]
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.
[90]
Ratcliffe J H. Geocoding crime and a first estimate of an acceptable minimum hit rate[J]. International Journal of Geographical Information Science, 2004,18(1):61-72.
[79]
Wolfe M K, Mennis J. Does vegetation encourage or suppress urban crime? Evidence from Philadelphia, PA[J]. Landscape and Urban Planning, 2012,108(2-4):112-122.
[85]
Groff E R. 'Situating' simulation to model human spatio-temporal interactions: An example using crime events[J]. Transactions in GIS, 2007,11(4):507-530.
[40]
Oberwittler D, Wikström P H. Why small is better: Advancing the study of the role of behavioral contexts in crime causation[M] // Weisburd D, Bernasco W, Bruinsma G J N. Putting Crime in Its Place. New York: Springer, 2009:35-59.
[91]
Law J, Quick M. Exploring links between juvenile offenders and social disorganization at a large map scale: A Bayesian spatial modeling approach[J]. Journal of Geographical Systems, 2013,15(1):89-113.
[80]
Nyabvedzi F, Chirisa I. Spatial security and quest of solutions to crime in neighbourhoods in Urban Zimbabwe: Case in Marlborough East, Harare[J]. Journal of Geography and Regional Planning, 2012,5(3):68-79.
[86]
Malleson N, Heppenstall A, See L. Crime reduction through simulation: An agent-based model of burglary[J]. Computers, Environment and Urban Systems, 2010,34(3):236-250.
[41]
Braga A A, Papachristos A V, Hureau D M. The concentration and stability of gun violence at micro places in Boston, 1980-2008[J]. Journal of Quantitative Criminology, 2010,26(1):33-53.
[92]
Mburu L, Helbich M. Evaluating the accuracy and effectiveness of criminal geographic profiling methods: The case of Dandora, Kenya[J]. Professional Geographer, 2015,67(5):110-120.
[87]
Malleson N, Birkin M. Analysis of crime patterns through the integration of an agent-based model and a population microsimulation[J]. Computers, Environment and Urban Systems, 2012,36(6):551-561.
[81]
Groff E R. Simulation for theory testing and experimentation: An example using routine activity theory and street robbery[J]. Journal of Quantitative Criminology, 2007,23(2):75-103.
[42]
Groff E R, Weisburd D, Yang S. Is it important to examine crime trends at a local “micro” Level? A longitudinal analysis of street to street variability in crime trajectories[J]. Journal of Quantitative Criminology, 2010,26(1):7-32.
[93]
Kent J, Leitner M, Curtis A. Evaluating the usefulness of functional distance measures when calibrating journey-to-crime distance decay functions[J]. Computers, Environment and Urban Systems, 2006,30(2):181-200.
[88]
Liu L, Wang X, Eck J, et al. Simulating crime events and crime patterns in RA/CA model[M] //Wang F. Geographic Information Systems and Crime Analysis. Singapore: Idea Group, 2005:197-213.
[82]
Malleson N, Heppenstall A, See L, et al. Using an agent-based crime simulation to predict the effects of urban regeneration on individual household burglary risk[J]. Environment and Planning B: Planning and Design, 2013,40(3):405-426.
[43]
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.
[89]
Spicer V, Reid A A, Ginther J, et al. Bars on blocks: A cellular automata model of crime and liquor licensed establishment density[J]. Computers, Environment and Urban Systems, 2012,36(5):412-422.
[94]
Ned Levine, Richard Block. Bayesian journey-to-crime estimation: An improvement in geographic profiling methodology[J]. Professional Geographer, 2011, 63(2):213-229.
[83]
Caplan J M, Kennedy LW, Miller J. Risk terrain modeling: Brokering criminological theory and GIS methods for crime forecasting[J]. Justice Quarterly, 2011,28(2):360-381.
[44]
MacDonald J M, Hipp J R, Gill C. The effects of immigrant concentration on changes in neighborhood crime rates[J]. Journal of Quantitative Criminology, 2013,29(2):191-215.
[95]
Ackerman J M, Rossmo D K. How far to travel? A multilevel analysis of the residence-to-crime distance[J]. Journal of Quantitative Criminology, 2015,31(2):237-262.
[90]
Ratcliffe J H. Geocoding crime and a first estimate of an acceptable minimum hit rate[J]. International Journal of Geographical Information Science, 2004,18(1):61-72.
[84]
Kennedy LW, 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.
[45]
Light M T, Harris C T. Race, space, and violence: Exploring spatial dependence in structural covariates of white and black violent crime in US counties[J]. Journal of Quantitative Criminology, 2012, 28(4):559-586.
[96]
Lu Y. Getting away with the stolen vehicle: An investigation of journey-after-crime[J]. Professional Geographer, 2003,55(4):422-433.
[91]
Law J, Quick M. Exploring links between juvenile offenders and social disorganization at a large map scale: A Bayesian spatial modeling approach[J]. Journal of Geographical Systems, 2013,15(1):89-113.
[85]
Groff E R. 'Situating' simulation to model human spatio-temporal interactions: An example using crime events[J]. Transactions in GIS, 2007,11(4):507-530.
[46]
Rattner A, Portnov B A. Distance decay function in criminal behavior: A case of Israel[J]. The Annals of Regional Science, 2007,41 (3):673-688.
[97]
Rey S J, Murray A T, Grubesic T H, et al. Sex offender residential movement patterns: A markov chain analysis[J]. Professional Geographer, 2014,66(1):102-111.
[92]
Mburu L, Helbich M. Evaluating the accuracy and effectiveness of criminal geographic profiling methods: The case of Dandora, Kenya[J]. Professional Geographer, 2015,67(5):110-120.
[86]
Malleson N, Heppenstall A, See L. Crime reduction through simulation: An agent-based model of burglary[J]. Computers, Environment and Urban Systems, 2010,34(3):236-250.
[47]
Wang F, Arnold M T. Localized income inequality, concentrated disadvantage and homicide[J]. Applied Geography, 2008,28(4):259-270.
[93]
Kent J, Leitner M, Curtis A. Evaluating the usefulness of functional distance measures when calibrating journey-to-crime distance decay functions[J]. Computers, Environment and Urban Systems, 2006,30(2):181-200.
[87]
Malleson N, Birkin M. Analysis of crime patterns through the integration of an agent-based model and a population microsimulation[J]. Computers, Environment and Urban Systems, 2012,36(6):551-561.
[98]
O'Malley P, Hutchinson S. Reinventing prevention: Why did 'crime prevention' develop so late?[J]. British Journal of Criminology, 2006,47(3):373-389.
[48]
Wang F, Minor W W. Where the jobs are: Employment access and crime patterns in Cleveland [J]. Annals of the Association of American Geographers, 2002,92(3):435-450.
[88]
Liu L, Wang X, Eck J, et al. Simulating crime events and crime patterns in RA/CA model[M] //Wang F. Geographic Information Systems and Crime Analysis. Singapore: Idea Group, 2005:197-213.
[94]
Ned Levine, Richard Block. Bayesian journey-to-crime estimation: An improvement in geographic profiling methodology[J]. Professional Geographer, 2011, 63(2):213-229.
[99]
Erdo?an A. What do place-based crime prevention strategies mean for the Turkish planning system and urban transformation[J]. Journal of Geography and Regional Planning, 2010,3(11):271-296.
[49]
Immergluck D, Smith G. The impact of single-family mortgage foreclosures on neighborhood crime[J]. Housing Studies, 2006,21 (6):851-866.
[89]
Spicer V, Reid A A, Ginther J, et al. Bars on blocks: A cellular automata model of crime and liquor licensed establishment density[J]. Computers, Environment and Urban Systems, 2012,36(5):412-422.
[95]
Ackerman J M, Rossmo D K. How far to travel? A multilevel analysis of the residence-to-crime distance[J]. Journal of Quantitative Criminology, 2015,31(2):237-262.
[100]
Ceccato V, Lukyte N. Safety and sustainability in a city in transi tion: The case of Vilnius, Lithuania[J]. Cities, 2011,28(1):83-94.
[50]
Curtis A, Mills J W. Crime in urban post-disaster environments: A methodological framework from New Orleans[J]. Urban Geography, 2011,32(4):488-510.
[90]
Ratcliffe J H. Geocoding crime and a first estimate of an acceptable minimum hit rate[J]. International Journal of Geographical Information Science, 2004,18(1):61-72.
[96]
Lu Y. Getting away with the stolen vehicle: An investigation of journey-after-crime[J]. Professional Geographer, 2003,55(4):422-433.
[101]
Reynald D M, Elffers H. The future of Newman's defensible space theory: Linking defensible space and the routine activities of place[J]. European Journal of Criminology, 2009,6(1):25-46.
[51]
Simons R L, Burt C H. Learning to be bad: Adverse social conditions, social schemas, and crime[J]. Criminology, 2011,49(2):553-598.
[97]
Rey S J, Murray A T, Grubesic T H, et al. Sex offender residential movement patterns: A markov chain analysis[J]. Professional Geographer, 2014,66(1):102-111.
[91]
Law J, Quick M. Exploring links between juvenile offenders and social disorganization at a large map scale: A Bayesian spatial modeling approach[J]. Journal of Geographical Systems, 2013,15(1):89-113.
[102]
Bowers K J, Johnson S D, Hirschfield A F G. Closing off opportu nities for crime: An evaluation of alley-gating[J]. European Jour nal on Criminal Policy and Research, 2004,10(4):285-308.
[52]
Wikström P H, Ceccato V, Hardie B, et al. Activity fields and the dynamics of crime: Advancing knowledge about the role of the environment in crime causation[J]. Journal of Quantitative Criminology, 2010,26(1):55-87.
[92]
Mburu L, Helbich M. Evaluating the accuracy and effectiveness of criminal geographic profiling methods: The case of Dandora, Kenya[J]. Professional Geographer, 2015,67(5):110-120.
[103]
Cozens P, Hillier D, Prescott G. Crime and the design of residen tial property-exploring the perceptions of planning professionals, burglars and other users: Part 2[J]. Property Management, 2001,19 (4):222-248.
[98]
O'Malley P, Hutchinson S. Reinventing prevention: Why did 'crime prevention' develop so late?[J]. British Journal of Criminology, 2006,47(3):373-389.
[53]
Koskela H, Pain R. Revisiting fear and place: Women's fear of attack and the built environment[J]. Geoforum, 2000,31(2):269-280.
[93]
Kent J, Leitner M, Curtis A. Evaluating the usefulness of functional distance measures when calibrating journey-to-crime distance decay functions[J]. Computers, Environment and Urban Systems, 2006,30(2):181-200.
[99]
Erdo?an A. What do place-based crime prevention strategies mean for the Turkish planning system and urban transformation[J]. Journal of Geography and Regional Planning, 2010,3(11):271-296.
[104]
Minnery J R, Lim B. Measuring crime prevention through environ mental design[J]. Journal of Architectural and Planning Research, 2005,22(4):330-341.
[54]
San-Juan C, Vozmediano L, Vergara A. Self-protective behaviours against crime in urban settings: An empirical approach to vulnerability and victimization models[J]. European Journal of Criminology, 2012,9(6):652-667.
[94]
Ned Levine, Richard Block. Bayesian journey-to-crime estimation: An improvement in geographic profiling methodology[J]. Professional Geographer, 2011, 63(2):213-229.
[100]
Ceccato V, Lukyte N. Safety and sustainability in a city in transi tion: The case of Vilnius, Lithuania[J]. Cities, 2011,28(1):83-94.
[105]
Casteel C, Peek C. Effectiveness of crime prevention through envi ronmental design (CPTED) in reducing robberies[J]. American Journal of Preventive Medicine, 2000,18(4):99-115.
[55]
Alkimim A, Clarke K C, Oliveira F S. Fear, crime, and space: The case of Viçosa, Brazil[J]. Applied Geography, 2013,42:124-132.
[95]
Ackerman J M, Rossmo D K. How far to travel? A multilevel analysis of the residence-to-crime distance[J]. Journal of Quantitative Criminology, 2015,31(2):237-262.
[106]
Cozens P M. Sustainable urban development and crime prevention through environmental design for the British city. Towards an ef fective urban environmentalism for the 21st century[J]. Cities, 2002,19(2):129-137.
[101]
Reynald D M, Elffers H. The future of Newman's defensible space theory: Linking defensible space and the routine activities of place[J]. European Journal of Criminology, 2009,6(1):25-46.
[56]
Wilcox P, Quisenberry N, Jones S. The built environment and community crime risk interpretation[J]. Journal of Research in Crime and Delinquency, 2003,40(3):322-345.
[96]
Lu Y. Getting away with the stolen vehicle: An investigation of journey-after-crime[J]. Professional Geographer, 2003,55(4):422-433.
[102]
Bowers K J, Johnson S D, Hirschfield A F G. Closing off opportu nities for crime: An evaluation of alley-gating[J]. European Jour nal on Criminal Policy and Research, 2004,10(4):285-308.
[107]
Hedayati Marzbali M, Abdullah A, Razak N A, et al. The influ ence of crime prevention through environmental design on victimi sation and fear of crime[J]. Journal of Environmental Psychology, 2012,32(2):79-88.
[57]
Scarborough B K, Like-Haislip T Z, Novak K J, et al. Assessing the relationship between individual characteristics, neighborhood context, and fear of crime[J]. Journal of Criminal Justice, 2010,38(4): 819-826.
[97]
Rey S J, Murray A T, Grubesic T H, et al. Sex offender residential movement patterns: A markov chain analysis[J]. Professional Geographer, 2014,66(1):102-111.
[103]
Cozens P, Hillier D, Prescott G. Crime and the design of residen tial property-exploring the perceptions of planning professionals, burglars and other users: Part 2[J]. Property Management, 2001,19 (4):222-248.
[108]
Cozens P, Hillier D, Prescott G. Defensible space, community safe ty, the British city and the 'active citizen': Penetrating the crimi nal mind[J]. Crime Prevention and Community Safety, 2002,4(4): 7-21.
[58]
Pauwels L, Stefaan P. Assessing cross-cultural validity of fear of crime measures through comparisons between linguistic communities in Belgium[J]. European Journal of Criminology, 2005,2(2): 139-159.
[98]
O'Malley P, Hutchinson S. Reinventing prevention: Why did 'crime prevention' develop so late?[J]. British Journal of Criminology, 2006,47(3):373-389.
[104]
Minnery J R, Lim B. Measuring crime prevention through environ mental design[J]. Journal of Architectural and Planning Research, 2005,22(4):330-341.
[109]
Bennett T, Holloway K, Farrington D P. Does neighborhood watch reduce crime? A systematic review and meta-analysis[J]. Journal of Experimental Criminology, 2007,2(4):437-458.
[59]
Breetzke G D, Pearson A L. The fear factor: Examining the spatialvariability of recorded crime on the fear of crime[J]. Applied Geography, 2014,46:45-52.
[99]
Erdo?an A. What do place-based crime prevention strategies mean for the Turkish planning system and urban transformation[J]. Journal of Geography and Regional Planning, 2010,3(11):271-296.
[105]
Casteel C, Peek C. Effectiveness of crime prevention through envi ronmental design (CPTED) in reducing robberies[J]. American Journal of Preventive Medicine, 2000,18(4):99-115.
[110]
Silver E, Miller L L. Sources of informal social control in Chicago neighborhoods[J]. Criminology, 2004,42(3):551-584.
[60]
Morenoff J D, Sampson R J, Raudenbush S W, et al. Neighborhood inequality, collective efficacy, and the spatial dynamics of urban violence[ J]. Criminology, 2001,39(3):517-558.
[100]
Ceccato V, Lukyte N. Safety and sustainability in a city in transi tion: The case of Vilnius, Lithuania[J]. Cities, 2011,28(1):83-94.
[106]
Cozens P M. Sustainable urban development and crime prevention through environmental design for the British city. Towards an ef fective urban environmentalism for the 21st century[J]. Cities, 2002,19(2):129-137.
[111]
Hillier B. Can streets be made safe[J]. Urban Design International, 2004,9(1):31-45.
[61]
Swatt M L, Varano S P, Uchida C D, et al. Fear of crime, incivilities, and collective efficacy in four Miami neighborhoods[J]. Journal of Criminal Justice, 2013,41(1):1-11.
[101]
Reynald D M, Elffers H. The future of Newman's defensible space theory: Linking defensible space and the routine activities of place[J]. European Journal of Criminology, 2009,6(1):25-46.
[107]
Hedayati Marzbali M, Abdullah A, Razak N A, et al. The influ ence of crime prevention through environmental design on victimi sation and fear of crime[J]. Journal of Environmental Psychology, 2012,32(2):79-88.
[112]
Wang W. Developing a line-of-sight based algorithm for urban street network generalization[J]. Applied Geomatics, 2012,4(2): 67-74.
[62]
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.
[102]
Bowers K J, Johnson S D, Hirschfield A F G. Closing off opportu nities for crime: An evaluation of alley-gating[J]. European Jour nal on Criminal Policy and Research, 2004,10(4):285-308.
[108]
Cozens P, Hillier D, Prescott G. Defensible space, community safe ty, the British city and the 'active citizen': Penetrating the crimi nal mind[J]. Crime Prevention and Community Safety, 2002,4(4): 7-21.
[113]
Desyllas J, Connoly P, Hebbert F. Modelling natural surveillance[J]. Environment and Planning B: Planning and Design, 2003,30 (5):643-655.
[63]
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.
[103]
Cozens P, Hillier D, Prescott G. Crime and the design of residen tial property-exploring the perceptions of planning professionals, burglars and other users: Part 2[J]. Property Management, 2001,19 (4):222-248.
[109]
Bennett T, Holloway K, Farrington D P. Does neighborhood watch reduce crime? A systematic review and meta-analysis[J]. Journal of Experimental Criminology, 2007,2(4):437-458.
[64]
Johnson S D, Bowers K J. Permeability and burglary risk: Are culde-sacs safer?[J]. Journal of Quantitative Criminology, 2010,26(1): 89-111.
[104]
Minnery J R, Lim B. Measuring crime prevention through environ mental design[J]. Journal of Architectural and Planning Research, 2005,22(4):330-341.
[110]
Silver E, Miller L L. Sources of informal social control in Chicago neighborhoods[J]. Criminology, 2004,42(3):551-584.
[65]
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.
[105]
Casteel C, Peek C. Effectiveness of crime prevention through envi ronmental design (CPTED) in reducing robberies[J]. American Journal of Preventive Medicine, 2000,18(4):99-115.
[111]
Hillier B. Can streets be made safe[J]. Urban Design International, 2004,9(1):31-45.
[66]
Hillier B. Space is the Machine: A Configurational Theory of Architecture[ M]. London: Cambridge University Press, 2007:110-170.
[106]
Cozens P M. Sustainable urban development and crime prevention through environmental design for the British city. Towards an ef fective urban environmentalism for the 21st century[J]. Cities, 2002,19(2):129-137.
[112]
Wang W. Developing a line-of-sight based algorithm for urban street network generalization[J]. Applied Geomatics, 2012,4(2): 67-74.
[67]
Hillier B, Sahbaz O. Safety in numbers: High-resolution analysis of crime in street networks[M] //Ceccato V. The Urban Fabric of Crime and Fear. Berlin: Springer Netherlands, 2011:111-137.
[107]
Hedayati Marzbali M, Abdullah A, Razak N A, et al. The influ ence of crime prevention through environmental design on victimi sation and fear of crime[J]. Journal of Environmental Psychology, 2012,32(2):79-88.
[113]
Desyllas J, Connoly P, Hebbert F. Modelling natural surveillance[J]. Environment and Planning B: Planning and Design, 2003,30 (5):643-655.
