A growing body of literature has recently begun to examine spatiotemporal nuances of arson. However, criminal justice research has minimally investigated how an arson event might serve as an initiator for a string of arsons. To rectify this gap, the current study conducted a near repeat analysis incorporating multiple-event near repeat chains to identify possible spatiotemporal patterns for arson in Flint, Michigan. Findings underscore that increased risk of repeat arson victimization was most pronounced for residential arsons. Results for near repeat chains indicate an average mean risk of roughly 5 days but for certain chains risk lasted for up to 2 months. Discussion of implications, limitations, and future research are also provided.
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Address specific data were geocoded in ArcMap 10.2.2 with more than 99% of incidents being successfully matched, which above the 85% minimum hit rate threshold outlined by Ratcliffe (2004).
This concern would be most problematic for incidents where the occurrence date is not actually known and a generic default date was used instead (e.g., using 1/1/1900 for the date when it is not actually known).
These values were opted for since two blocks was regularly the furthest spatial distance that still remained part of a near repeat pattern while 7 days intervals are selected since this is an intermediary temporal distance relative to those incorporated in the near repeat analysis.
Additional analyses were conducted to investigate the impact of seasonality on repeat and near repeat arsons. Results for summer and fall underscore risk commonly extended up to two blocks away during the shortest temporal band and tapered off with increases in the temporal band. Findings for spring were either commonly contained to the same location or a block away but ended up being limited to the same location following the first temporal band. Summer results showcased risk up to three blocks away, however, over time risk only minimally dissipated. Tables are available upon request.
Adams, D. 2013, April 8. Lost in the flames: More than 1,600 arsons scar Flint’s landscape. MLive. http://www.mlive.com/news/flint/index.ssf/2013/03/burning_flint_more_than_a_buil.html. Accessed 16 Feb 2018.
Bennett, T. 1995. Identifying, explaining and targeting burglary hot spots. European Journal of Criminal Policy and Research 3 (3): 113–123.
Bieber, P. 2016. The misleading science of arson investigations. New York: Center on Media, Crime, and Justice at John Jay College of Criminal Justice.
Block, S., and S. Fujita. 2013. Patterns of near repeat temporary and permanent motor vehicle theft. Crime Prevention and Community Safety 15 (2): 151–167.
Bowers, K., and S.D. Johnson. 2004. Who commits near repeats? A test of the boost explanation. Western Criminology Review 5 (3): 12–24.
Brantingham, P.J., and P.L. Brantingham. 1993. Environment, routine, and situation: Toward a pattern theory of crime. In Routine activity and rational choice: Advances in criminological theory, vol. 5, ed. R.V. Clarke and M. Felson. New Brunswick, NJ: Transaction Publications.
Brett, A. 2004. ‘Kindling theory’ in arson: How dangerous are firesetters? Australian and New Zealand Journal of Psychiatry 38 (6): 419–425.
Bryant, C. 2008. Understanding bushfire: Trends in deliberate vegetation fires in Australia. Canberra: Australian Institute of Criminology.
Budd, T. 1999. Burglary of domestic dwellings: Findings from the British crime survey. London: Great Britain Home Office Research Development and Statistics Directorate.
Campbell, R. 2014. Intentional fires. Quincy, MA: National Fire Protection Association.
Ciardha, C.O., and T.A. Gannon. 2012. The implicit theories of firesetters: A preliminary conceptualization. Aggression and Violent Behavior 17 (2): 122–128.
Cornish, D.B., and R.V. Clarke. 2003. Opportunities, precipitators and criminal decisions: A reply to Wortley’s critique of situational crime prevention. Crime Prevention Studies 16: 41–96.
Cozens, P., and W. Christensen. 2011. Environmental criminology and the potential for reducing opportunities for bushfire arson. Crime Prevention and Community Safety 13 (2): 119–133.
Dickens, G., P. Sugarman, S. Edgar, K. Hofberg, S. Tewari, and F. Ahmad. 2009. Recidivism and dangerousness in arsonists. The Journal of Forensic Psychiatry and Psychology 20 (5): 621–639.
Federal Bureau of Investigations. 2015. 2014 Crime in the United States, arson. https://ucr.fbi.gov/crime-in-the-u.s/2014/crime-in-the-u.s.-2014/offenses-known-to-law-enforcement/arson. Accessed 16 Feb 2018.
Federal Bureau of Investigations. 2016. 2015 Crime in the United States: Burglary. https://ucr.fbi.gov/crime-in-the-u.s/2015/crime-in-the-u.s.-2015/offenses-known-to-law-enforcement/burglary. Accessed 16 Feb 2018.
Fritzon, K., R. Doley, and K. Hollows. 2014. Variations in the offence actions of deliberate firesetters: A cross-national analysis. International Journal of Offender Therapy and Comparative Criminology 58 (10): 1150–1165.
Gannon, T.A., C.O. Ciardha, R.M. Doley, and E. Alleyne. 2012. The multi-trajectory theory of adult firesetting (M-TTAF). Aggression and Violent Behavior 17 (2): 107–121.
Gerell, M. 2017. Smallest is better? The spatial distribution of arson and the modifiable areal unit problem. Journal of Quantitative Criminology 33 (2): 293–318.
Groff, E.R., J.H. Ratcliffe, C.P. Haberman, E.T. Sorg, N.M. Joyce, and R.B. Taylor. 2015. Does what police do at hot spots matter? The Philadelphia policing tactics experiment. Criminology 53 (1): 23–53.
Grubb, J.A., and M.R. Nobles. 2016. A spatiotemporal analysis of arson. Journal of Research in Crime and Delinquency 53 (1): 66–92.
Haberman, C.P., and J.H. Ratcliffe. 2012. The predictive policing challenges of near repeat armed street robberies. Policing 6 (2): 151–166.
Horley, J., and D. Bowlby. 2011. Theory, research, and intervention with arsonists. Aggression and Violent Behavior 16 (3): 241–249.
Johnson, S.D., L. Summers, and K. Pease. 2009. Offender as forager? A direct test of the boost account of victimization. Journal of Quantitative Criminology 25 (2): 181–200.
Knox, G. 1964. Epidemiology of childhood leukemia in Northumberland and Durham. British Journal of Preventive and Social Medicine 18 (1): 17–24.
Kocsis, R.N., and H.J. Irwin. 1997. An analysis of spatial patterns in serial rape, arson, and burglary: The utility of the circle theory of environmental range for psychological profiling. Psychiatry, Psychology and Law 4 (2): 195–206.
Moreto, W.D., E.L. Piza, and J.M. Caplan. 2014. ‘A plague on both your houses?’ Risks, repeats and reconsiderations of urban residential burglary. Justice Quarterly 31 (6): 1102–1126.
Nobles, M.R., J.T. Ward, and R. Tillyer. 2016. The impact of neighborhood context on spatiotemporal patterns of burglary. Journal of Research in Crime and Delinquency 53 (5): 711–740.
Orozco, C.V., M. Tonini, M. Conedera, and M. Kanveski. 2012. Cluster recognition in spatial–temporal sequences: The case of forest fires. Geoinformatica 16 (4): 653–673.
Pease, K. 1998. Repeat victimization: Taking stock. London: Great Britain Home Office, Policing and Reducing Crime Unit.
Prestemon, J.P., D.T. Butry, and D.S. Thomas. 2013. Exploiting autoregressive properties to develop prospective urban arson forecasts by target. Applied Geography 44: 143–153.
Ratcliffe, J.H. 2004. Geocoding crime and a first estimate of a minimum acceptable hit rate. International Journal of Geographical Information Science 18 (1): 61–72.
Ratcliffe, J.H. 2009. Near Repeat Calculator Program Manual for Version 1.3. Philadelphia: Temple University.
Ridley, G. 2013, April 10. Arson: Blue-collar America is burning. MLive. http://www.mlive.com/news/flint/index.ssf/2013/04/flint_not_the_only_blue-collar.html. Accessed 16 Feb 2018.
Santos, R.G., and R.B. Santos. 2015. An ex post facto evaluation of tactical police response in residential theft from vehicle micro-time hot spots. Journal of Quantitative Criminology 31 (4): 679–698.
Skogan, W. 1990. Disorder and decline: Crime and the spiral of decay in American cities. New York: The Free Press.
U.S. Census Bureau. 2015. Population in Flint, Michigan between 1990 and 2016. https://www.google.com/publicdata/explore?ds=kf7tgg1uo9ude_&met_y=population&idim=place:2629000:0107000&hl=en&dl=en#!ctype=l&strail=false&bcs=d&nselm=h&met_y=population&scale_y=lin&ind_y=false&rdim=country&idim=place:2629000&ifdim=country&hl=en_US&dl=en&ind=false. Accessed 16 Feb 2018.
Wells, W., L. Wu, and X. Ye. 2012. Patterns of near-repeat gun assaults in Houston. Journal of Research in Crime and Delinquency 49 (2): 186–212.
Wuschke, K., J. Clare, and L. Garis. 2013. Temporal and geographic clustering of residential structure fires: A theoretical platform for targeted fire prevention. Fire Safety Journal 62 (A): 3–12.
Youstin, T.J., M.R. Nobles, J.T. Ward, and C.L. Cook. 2011. Assessing the generalizability of the near repeat phenomenon. Criminal Justice and Behavior 38 (10): 1042–1063.
This work was supported by Bureau of Justice Assistance, US Department of Justice, and Michigan Youth Violence Prevention Center funded by the Center for Disease Control (2014-AJ-BX-0011).
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Turchan, B., Grubb, J.A., Pizarro, J.M. et al. Arson in an urban setting: a multi-event near repeat chain analysis in Flint, Michigan. Secur J 32, 179–197 (2019). https://doi.org/10.1057/s41284-018-0155-0
- Near repeat victimization
- Repeat victimization
- Spatiotemporal analysis
- Multiple-event chains