Built environment and violent crime: An environmental audit approach using Google Street View

Computers, Environment and Urban Systems

Volumn 66, Issue , 2017, Pages 83-95

  He, Li ^a   Páez, Antonio ^b   Liu, Desheng ^c  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b MCMASTER UNIVERSITY   (Canada)

^c OHIO STATE UNIVERSITY   (United States)

Author keywords

Built environment; Environmental audit; Google Street View; Spatial filtering; Violent crime

Indexed keywords

BEAMFORMING; ENVIRONMENTAL ENGINEERING; HOUSES; HOUSING; REGRESSION ANALYSIS;

BUILT ENVIRONMENT; CONTINGENCY TABLE ANALYSIS; ENVIRONMENTAL AUDIT; ENVIRONMENTAL FEATURES; GOOGLE STREET VIEW; POISSON REGRESSION MODELS; RESIDENTIAL ENVIRONMENT; SPATIAL FILTERINGS;

CRIME;

EID: 85027313948     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2017.08.001     Document Type: Article

References (90)

1. Anderson, J.M., MacDonald, J.M., Bluthenthal, R., Ashwood, J.S., Reducing crime by shaping the built environment with zoning: An empirical study of Los Angeles. University of Pennsylvania Law Review 161 (2012), 699–756.
2. Andresen, M.A., Crime measures and the spatial analysis of criminal activity. British Journal of Criminology 46:2 (2006), 258–285.
3. Andresen, M.A., A spatial analysis of crime in Vancouver, British Columbia: A synthesis of social disorganization and routine activity theory. The Canadian Geographer/Le Géographe canadien 50:4 (2006), 487–502.
4. Austin, D.M., Sanders, C., Graffiti and perceptions of safety: A pilot study using photographs and survey data. Journal of Criminal Justice and Popular Culture 14:4 (2007), 292–316.
5. Badland, H., Opit, S., Witten, K., Kearns, R., Mavoa, S., Can virtual streetscape audits reliably replace physical streetscape audits. Journal of Urban Health: Bulletin of the New York Academy of Medicine 87:6 (2010), 1007–1016.
6. Ben-Joseph, E., Lee, J.S., Cromley, E.K., Laden, F., Troped, P.J., Virtual and actual: Relative accuracy of on-site and web-based instruments in auditing the environment for physical activity. Health & Place, 2013, 138–150.
7. Braga, A.A., Bond, B.J., Policing crime and disorder hot spots: A randomized controlled trial. Criminology 46:3 (2008), 577–607.
8. Brantingham, P.L., Brantingham, P.J., Nodes, paths and edges: Considerations on the complexity of crime and the physical environment. Journal of Environmental Psychology 13:1 (1993), 3–28.
9. Breetzke, G.D., The effect of altitude and slope on the spatial patterning of burglary. Applied Geography 34 (2012), 66–75.
10. Bursik, R.J., Social disorganization and theories of crime and delinquency: Problems and prospects. Criminology 26:4 (1988), 519–552.
11. Burton, E.J., Mitchell, L., Stride, C.B., Good places for ageing in place: Development of objective built environment measures for investigating links with older people's wellbeing. BMC Public Health, 11, 2011, 839, 10.1186/1471-2458-11-839.
12. Chen, M., Lin, H., Hu, M., He, L., Zhang, C., Real-geographic-scenario-based virtual social environments: Integrating geography with social research. Environment and Planning. B, Planning & Design 40:6 (2013), 1103–1121.
13. Chun, Y., Analyzing space–time crime incidents using eigenvector spatial filtering: An application to vehicle burglary. Geographical Analysis 46:2 (2014), 165–184.
14. Clarke, P., Ailshire, J., Melendez, R., Bader, M., Morenoff, J., Using Google Earth to conduct a neighborhood audit: Reliability of a virtual audit instrument. Health & Place 16 (2010), 1224–1229.
15. Clarke, R.V., Situational crime prevention. Crime and Justice, 1995, 91–150.
16. Clews, C., Brajkovichpayne, R., Dwight, E., Fauzul, A.A., Burton, M., Carleton, O., Thomson, G., Alcohol in urban streetscapes: A comparison of the use of Google Street View and on-street observation. BMC Public Health, 16(1), 2016.
17. Clifton, K.J., Smith, A.D.L., Rodriguez, D., The development and testing of an audit for the pedestrian environment. Landscape and Urban Planning 80:1 (2007), 95–110.
18. Cohen, D., Spear, S., Scribner, R., Kissinger, P., Mason, K., Wildgen, J., “Broken windows” and the risk of gonorrhea. American Journal of Public Health 90:2 (2000), 230–236.
19. Cohen, L.E., Felson, M., Social change and crime rate trends: A routine activity approach. American Sociological Review, 1979, 588–608.
20. Cornish, D.B., Clarke, R.V., Opportunities, precipitators and criminal decisions: A reply to Wortley's critique of situational crime prevention. Crime Prevention Studies 16 (2003), 41–96.
21. Cozens, P., Love, T., A review and current status of crime prevention through environmental design (CPTED). Journal of Planning Literature 30:4 (2015), 393–412.
22. Crowe, T.D., Crime prevention through environmental design: Applications of architectural design and space management concepts. 2000, Butterworth-Heinemann.
23. Curtis, J.W., Curtis, A., Mapes, J., Szell, A.B., Cinderich, A., Using Google Street View for systematic observation of the built environment: Analysis of spatio-temporal instability of imagery dates. International Journal of Health Geographics, 12, 2013, 53, 10.1186/1476-072X-12-53.
24. Day, K., Boarnet, M., Alfonzo, M., Forsyth, A., The Irvine–Minnesota inventory to measure built environments: Development. American Journal of Preventive Medicine 30:2 (2006), 144–152.
25. Donovan, G.H., Prestemon, J.P., The effect of trees on crime in Portland, Oregon. Environment and Behavior 44:1 (2012), 3–30.
26. Doran, B.J., Lees, B.G., Investigating the spatiotemporal links between disorder, crime, and the fear of crime. The Professional Geographer 57:1 (2005), 1–12.
27. Eck, J.E., Weisburd, D., Crime places in crime theory. Eck, J.E., Weisburd, D., (eds.) Crime and place: Crime preventionstudies, Vol. 4, 1995, Criminal Justice Press, Monsey, NY, 1–33.
28. Edwards, N., Hooper, P., Trapp, G.S., Bull, F., Boruff, B., Giles-Corti, B., Development of a Public Open Space Desktop Auditing Tool (POSDAT): A remote sensing approach. Applied Geography 38 (2013), 22–30.
29. ESRI Inc., http://www.esri.com/software/arcgis/arcgisengine, 2016.
30. Ewing, R., Handy, S., Brownson, R.C., Clemente, O., Winston, E., Identifying and measuring urban design qualities related to walkability. Journal of Physical Activity and Health 3 (2006), S223–S240.
31. Gau, J.M., Pratt, T.C., Revisiting broken windows theory: Examining the sources of the discriminant validity of perceived disorder and crime. Journal of Criminal Justice 38:4 (2010), 758–766.
32. Google Inc., https://www.google.ca/maps/streetview/, 2016.
33. Greenberg, M., Schneider, D., Violence in American cities: Young black males in the answer, but what was the question?. Social Science & Medicine 39:2 (1994), 179–187.
34. Griew, P., Hillsdon, M., Foster, C., Coombes, E., Jones, A., Wilkinson, P., Developing and testing a street audit tool using Google Street View to measure environmental supportiveness for physical activity. International Journal of Behavioral Nutrition and Physical Activity, 10, 2013, 103, 10.1186/1479-5868-10-103.
35. Griffith, D.A., A spatial filtering specification for the auto-Poisson model. Statistics & Probability letters 58:3 (2002), 245–251.
36. Groff, E., Weisburd, D., Morris, N.A., Where the action is at places: Examining spatio-temporal patterns of juvenile crime at places using trajectory analysis and GIS. Putting crime in its place, 2009, Springer, New York, 61–86.
37. Gullon, P., Badland, H., Alfayate, S., Bilal, U., Escobar, F., Cebrecos, A., Franco, M., Assessing walking and cycling environments in the streets of Madrid: Comparing on-field and virtual audits. Journal of Urban Health: Bulletin of the New York Academy of Medicine 92:5 (2015), 923–939.
38. Hannon, L.E., Extremely poor neighborhoods and homicide. Social Science Quarterly 86:5 (2005), 1418–1434.
39. Harcourt, B.E., Ludwig, J., Broken windows: New evidence from New York City and a five-city social experiment. 2006, The University of Chicago Law Review, 271–320.
40. He, L., Chen, M., Lu, G., Lin, H., Liu, L., Xu, J., An approach to transform Chinese historical books into scenario-based historical maps. The Cartographic Journal 50:1 (2013), 49–65.
41. He, L., Páez, A., Liu, D., Persistence of crime hot spots: An ordered probit analysis. Geographical Analysis, 2016, 10.1111/gean.12107.
42. He, L., Páez, A., Liu, D., Jiang, S., Temporal stability of model parameters in crime rate analysis: An empirical examination. Applied Geography 58 (2015), 141–152.
43. Hoehner, C.M., Ivy, A., Brennan Ramirez, L.K., Handy, S., Brownson, R.C., Active neighborhood checklist: A user-friendly and reliable tool for assessing activity friendliness. American Journal of Health Promotion 21:6 (2007), 534–537.
44. Jacobs, J., Death and life of great American cities. 1961, Vintage, New York.
45. Jeffery, C.R., Crime prevention through environmental design. 1971, Sage Publications, Beverly Hills, CA.
46. Kelly, C.M., Wilson, J.S., Baker, E.A., Miller, D.K., Schootman, M., Using Google Street View to audit the built environment: Inter-rater reliability results. Annals of Behavioral Medicine 45:1 (2013), 108–112.
47. Kuo, F.E., Bacaicoa, M., Sullivan, W.C., Transforming inner-city landscapes trees, sense of safety, and preference. Environment and Behavior 30:1 (1998), 28–59.
48. Lasley, J.R., Using traffic barriers to “design out” crime: A program evaluation of LAPD's operation Cul-De-Sac. Report to the National Institute of Justice, 1996, California State University, Fullerton, CA.
49. Lee, M.T., Martinez, R. Jr., Social disorganization revisited: Mapping the recent immigration and black homicide relationship in northern Miami. Sociological Focus 35:4 (2002), 363–380.
50. Loukaitou-Sideris, A., Liggett, R., Iseki, H., Thurlow, W., Measuring the effects of built environment on bus stop crime. Environment and Planning. B, Planning & Design 28:2 (2001), 255–280.
51. MacDonald, J.M., Lattimore, P.K., Count models in criminology. Piquero, A.R., Weisburd, D., (eds.) Handbook of quantitative criminology, 2010, Springer, New York, 683–698.
52. Malby, S., Davis, P., Monitoring the impact of economic crisis on crime. 2012, United Nations Office on Drugs and Crime, Vienna, Austria.
53. Malleson, N., Birkin, M., Analysis of crime patterns through the integration of an agent-based model and a population microsimulation. Computers, Environment and Urban Systems 36:6 (2012), 551–561.
54. Marzbali, M.H., Abdullah, A., Razak, N.A., Tilaki, M.J.M., The influence of crime prevention through environmental design on victimisation and fear of crime. Journal of Environmental Psychology 32:2 (2012), 79–88.
55. McMillan, T.E., Cubbin, C., Parmenter, B., Medina, A.V., Lee, R.E., Neighborhood sampling: How many streets must an auditor walk?. International Journal of Behavioral Nutrition and Physical Activity 7:1 (2010), 7–20.
56. McMillen, D.P., Spatial autocorrelation or model misspecification?. International Regional Science Review 26:2 (2003), 208–217.
57. Michael, S.E., Hull, R.B., Zahm, D.L., Environmental factors influencing auto burglary a case study. Environment and Behavior 33:3 (2001), 368–388.
58. Microsoft Inc., https://www.visualstudio.com/, 2016.
59. Mills, J.W., Curtis, A., Kennedy, B., Kennedy, S.W., Edwards, J.D., Geospatial video for field data collection. Applied Geography 30:4 (2010), 533–547.
60. Minnesota Population Center, National historical geographic information system: version 2.0., University of Minnesota, Minneapolis, MN https://www.nhgis.org, 2011.
61. Moniruzzaman, M., Páez, A., A model-based approach to select case sites for walkability audits. Health & Place 18:6 (2012), 1323–1334.
62. Moniruzzaman, M., Páez, A., Accessibility to transit, by transit, and mode share: Application of a logistic model with spatial filters. Journal of Transport Geography 24 (2012), 198–205.
63. Moniruzzaman, M., Páez, A., An investigation of the attributes of walkable environments from the perspective of seniors in Montreal. Journal of Transport Geography 51 (2016), 85–96.
64. Mooney, S.J., Bader, M.D., Lovasi, G.S., Neckerman, K.M., Teitler, J.O., Rundle, A., Validity of an ecometric neighborhood physical disorder measure constructed by virtual street audit. American Journal of Epidemiology 180:6 (2014), 626–635.
65. Naffine, N., Gale, F., Testing the nexus: Crime, gender, and unemployment. British Journal of Criminology 29:2 (1989), 144–156.
66. Odgers, C.L., Caspi, A., Bates, C.J., Sampson, R.J., Moffitt, T.E., Systematic social observation of children's neighborhoods using Google Street View: A reliable and cost-effective method. Journal of Child Psychology and Psychiatry 53:10 (2012), 1009–1017.
67. ODPM/Home Office, Safer places: The planning system and crime prevention. 2004, HMSO, London.
68. Oliver, M., Doherty, A.R., Kelly, P., Badland, H.M., Mavoa, S., Shepherd, J., Foster, C., Utility of passive photography to objectively audit built environment features of active transport journeys: An observational study. International Journal of Health Geographics, 12, 2013, 20, 10.1186/1476-072X-12-20.
69. Parmenter, B., McMillan, T., Cubbin, C., Lee, R.E., Developing geospatial data management, recruitment, and analysis techniques for physical activity research. Journal of the Urban and Regional Information Systems Association 20:2 (2008), 13–19.
70. Perkins, D.D., Meeks, J.W., Taylor, R.B., The physical environment of street blocks and resident perceptions of crime and disorder: Implications for theory and measurement. Journal of Environmental Psychology 12:1 (1992), 21–34.
71. Perkins, D.D., Wandersman, A., Rich, R.C., Taylor, R.B., The physical environment of street crime: Defensible space, territoriality and incivilities. Journal of Environmental Psychology 13:1 (1993), 29–49.
72. Pikora, T.J., Bull, F.C., Jamrozik, K., Knuiman, M., Giles-Corti, B., Donovan, R.J., Developing a reliable audit instrument to measure the physical environment for physical activity. American Journal of Preventive Medicine 23:3 (2002), 187–194.
73. Reynald, D.M., Guardianship in action: Developing a new tool for measurement. Crime Prevention & Community Safety 11:1 (2009), 1–20.
74. Rosenfeld, R., Fornango, R., The impact of economic conditions on robbery and property crime: The role of consumer sentiment. Criminology 45:4 (2007), 735–769.
75. Rundle, A., Bader, M.D., Richards, C., Neckerman, K.M., Teitler, J.O., Using Google Street View to audit neighborhood environments. American Journal of Preventive Medicine 40:1 (2011), 94–100.
76. Salesses, P., Schechtner, K., Hidalgo, C.A., The collaborative image of the city: Mapping the inequality of urban perception. PloS One, 8(7), 2013, e68400.
77. Sampson, R.J., Groves, W.B., Community structure and crime: Testing social-disorganization theory. American Journal of Sociology 94:4 (1989), 774–802.
78. Sampson, R.J., Raudenbush, S.W., Seeing disorder: Neighborhood stigma and the social construction of “broken windows”. Social Psychology Quarterly 67:4 (2004), 319–342.
79. Sampson, R.J., Raudenbush, S.W., Earls, F., Neighborhoods and violent crime: A multilevel study of collective efficacy. Science 277:5328 (1997), 918–924.
80. Shobe, H., Banis, D., Zero graffiti for a beautiful city: The cultural politics of urban space in San Francisco. Urban Geography 35:4 (2014), 586–607.
81. Silva, V., Grande, A.J., Rech, C., Peccin, M.S., Geoprocessing via Google Maps for assessing obesogenic built environments related to physical activity and chronic noncommunicable diseases: Validity and reliability. Journal of Healthcare Engineering 6:1 (2015), 41–54.
82. Skogan, W.G., Disorder and decline: Crime and the spiral of decay in American neighborhoods. 1990, Free Press, New York.
83. Spicer, V., Reid, A.A., Ginther, J., Seifi, H., Dabbaghian, V., Bars on blocks: A cellular automata model of crime and liquor licensed establishment density. Computers, Environment and Urban Systems 36:5 (2012), 412–422.
84. Steinbach, R., Perkins, C., Tompson, L., Johnson, S., Armstrong, B., Green, J., Edwards, P., The effect of reduced street lighting on road casualties and crime in England and Wales: Controlled interrupted time series analysis. Journal of Epidemiology and Community Health 69:11 (2015), 1118–1124.
85. Stucky, T.D., Ottensmann, J.R., Land use and violent crime. Criminology 47:4 (2009), 1223–1264.
86. Vanwolleghem, G., Van Dyck, D., Ducheyne, F., De Bourdeaudhuij, I., Cardon, G., Assessing the environmental characteristics of cycling routes to school: A study on the reliability and validity of a Google Street View-based audit. International Journal of Health Geographics, 13(1), 2014, 1.
87. Webb, B., Laycock, G., Reducing crime on the London underground: An evaluation of three pilot projects. Crime Prevention Unit: Paper no. 30, 1992, Home Office, London.
88. Wilcox, P., Quisenberry, N., Cabrera, D.T., Jones, S., Busy places and broken windows? Toward defining the role of physical structure and process in community crime models. The Sociological Quarterly 45:2 (2004), 185–207.
89. Wilson, J.Q., Kelling, G.L., Broken windows. Atlantic Monthly 249:3 (1982), 29–38.
90. Wolfe, M.K., Mennis, J., Does vegetation encourage or suppress urban crime? Evidence from Philadelphia, PA. Landscape and Urban Planning 108:2 (2012), 112–122.