Abstract
Research has illuminated the complex natural and social processes that occur after a natural disaster . Despite emergent efforts given to understanding the relationship between natural disasters and crime , few geographers have studied the effect that natural disasters have on the space -time behavior of crime patterns using local-level data. This research highlights aspects of change in patterns of crime as a result of a hurricane disaster; the underlying social, economic, and demographic characteristics may contribute explanations of the changes. Specifically, this study analyzes multiple types of crime as a response to Hurricane Wilma in Miami, Florida, 2005. The results reveal that more accurate predictions of crime for specific crime types in specific cities with use of geographically weighted regression are possible.
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References
Alexander D (1993) Natural disasters. Chapman & Hall, New York
Anselin L, Cohen J, Cook D, Gorr W, Tita G (2000) Spatial analysis of crime. Criminal Justice 2000. Office of Justice Programs, U.S. Department of Justice, National Institute of Justice, Washington, DC, pp 212–262
Bailey TC, Gatrell AC (1995) Interactive spatial data analysis. Wiley, New York
Bailey KL (2009) An evaluation of the impact of Hurricane Katrina on crime in New Orleans, Louisiana. Paper 304, applied research projects, Texas State University-San Marcos, San Marcos
Bass L (2008) A pooled time series analysis of Hurricane Katrina evacuees and their effect on crime rates. Paper presented at the 66th Midwest Political Science Association annual national conference, Chicago, 3–6 April
Cahill M, Mulligan G (2007) Using geographically weighted regression to explore local crime patterns. Soc Sci Comput Rev 25:174
Centre for Research on the Epidemiology of Disasters (2011) EM-DAT: the OFDA/CRED international disaster database. http://www.emdat.be/
Chainey S, Ratcliffe JH (2005) GIS and crime mapping. Wiley, London
Cohen LE, Felson M (1979) Social change and crime rate trends: a routine activity approach. Am Sociol Rev 44:588–608
Cromwell P, Dunham R, Akers R, Lanza-Kaduce L (1995) Routine activities and social control in the aftermath of a natural catastrophe. Eur J Crim Policy Res 3(3):57–69
Davila M, Marquart JW, Mullings JL (2005) Beyond mother nature: contractor fraud in the wake of natural disasters. Deviant Behav 26:271–293
Decker SH, Varano SP, Greene JR (2007) Routine crime in exceptional times: the impact of the 2002 Winter Olympics on citizen demand for police services. J Crim Justice 35:89–101
Drabek TE (1975) System shock: immediate responses following impact. In: Mileti DS, Drabek TE, Haas JE (eds) Human systems in extreme environments: a sociological perspective. University of Colorado, Institute of Behavioral Science, Boulder, pp 57–99
Eck JE, Chainey S, Cameron JG, Leitner M, Wilson RE (2005) Mapping crime: understanding hot spots (Special report). National Institute of Justice, Washington, DC
Enarson E (1999) Violence against women in disasters: a study of domestic violence programs in the United States and Canada. Violence Against Women 5:742–768
Fotheringham AS, Brunsdon C, Charlton M (2000) Quantitative geography: perspectives on spatial data analysis. Sage, London
Fotheringham AS, Brunsdon C, Charlton M (2002) Geographically weighted regression: the analysis of spatially varying relationships. Wiley, Chichester
Graif C, Sampson RJ (2009) Spatial heterogeneity in the effects of immigration and diversity on neighborhood homicide rates. Homicide Stud 13(3):242–260
Hagenauer J, Helbich M, Leitner M (2011) Visualization of crime trajectories with self-organizing maps: a case study on evaluating the impact of hurricanes on spatio-temporal crime hotspots. Paper presented at the 25th conference of the International Cartographic Association, Paris, 3–8 July
Kates RW, Pijawka D (1977) From rubble to monument: the pace of reconstruction. In: Haas JE, Kates RW, Bowden MJ (eds) Reconstruction following disaster. MIT Press, Cambridge, MA, pp 1–23
LeBeau JL (2000) Demonstrating the analytical utility of GIS for police operations: a final report. National Criminal Justice Reference Service. https://www.ncjrs.gov/pdffiles1/nij/187104.pdf
LeBeau JL (2002) The impact of a hurricane on routine activities and on calls for police service: Charlotte, North Carolina, and Hurricane Hugo. Crime Prevent Commun Saf 4:53–64
Leitner M, Helbich M (2011) The impact of hurricanes on crime: a spatio-temporal analysis in the city of Houston, Texas. Cartogr Geogr Inf Sci 38(2):214–222
Levine N (2010) CrimeStat v3.3: a spatial statistics program for the analysis of crime incident locations. http://www.icpsr.umich.edu/CrimeStat/index.html
Montgomery DC, Peck EA, Vining GG (2001) Introduction to linear regression analysis, 3rd edn. Wiley, New York
National Hurricane Center (2006) Tropical cyclone report: Hurricane Wilma. http://www.nhc.noaa.gov/pdf/TCR-AL252005_Wilma.pdf
National Hurricane Center (2011) The deadliest, costliest, and most intense United States tropical cyclones from 1851 to 2010 (and other frequently requested hurricane facts). http://www.nhc.noaa.gov/pdf/nws-nhc-6.pdf
Osgood DW (2000) Poisson-based regression analysis of aggregate crime rates. J Quant Criminol 16(1):21–43
Perry RW, Lindell MK (1978) The psychological consequences of natural disaster: a review of research on American communities. Mass Emerg 3:105–115
Quarantelli EL, Dynes RR (1970) Property norms and looting: their patterns in community crisis. Phylon 31(2):168–182
Stark R (1987) Deviant places: a theory of the ecology of crime. Criminology 25(4):893–909
Suar D, Kar S (2005) Social and behavioural consequences of the Orissa supercyclone. J Health Manag 7(2):263–275
Thornton WE, Voigt L (2007) Disaster rape: vulnerability of women to sexual assaults during Hurricane Katrina. J Public Manag Soc Policy 13(2):23–49
Tierney KJ, Lindell MK, Perry RW (2001) Facing the unexpected: disaster preparedness and response in the United States. Joseph Henry Press, Washington, DC
Tita GE, Radil SM (2010) Making space for theory: the challenges of theorizing space and place for spatial analysis in criminology. J Quant Criminol 26:467–479
Uniform Crime Reporting Program (2004) Uniform crime reporting handbook. Federal Bureau of Investigation, Washington, DC
Van Landingham MJ (2007) Murder rates in New Orleans, LA, 2004–2006. Am J Public Health 97(9):1614–1616
Van Landingham MJ (2008) 2007 murder rates in New Orleans, Louisiana. Am J Public Health 98(5):776–777
Varano SP, Schafer JA, Cancino JM, Decker SH, Greene JR (2010) A tale of three cities: crime and displacement after Hurricane Katrina. J Crim Justice 38:42–50
Wenger D, Friedman B (1986) Local and national media coverage of disaster: a content analysis of the print media’s treatment of disaster myths. Preliminary paper 99, Disaster Research Center, University of Delaware, Newark
Zahran S, Shelly TO, Peek L, Brody SD (2009) Natural disasters and social order: modeling crime outcomes in Florida. Int J Mass Emerg Disasters 27(1):26–52
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This research was funded in part by Department of Justice COPS grant #2008CKWX0245 – AL04108.
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Walker, W.C., Sim, S., Keys-Mathews, L. (2014). Use of Geographically Weighted Regression on Ecology of Crime, Response to Hurricane in Miami, Florida. In: Elmes, G., Roedl, G., Conley, J. (eds) Forensic GIS. Geotechnologies and the Environment, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8757-4_12
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DOI: https://doi.org/10.1007/978-94-017-8757-4_12
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