Journal of Quantitative Criminology

, Volume 32, Issue 4, pp 589–612

Replicating Group-Based Trajectory Models of Crime at Micro-Places in Albany, NY

  • Andrew P. Wheeler
  • Robert E. Worden
  • Sarah J. McLean
Original Paper

DOI: 10.1007/s10940-015-9268-3

Cite this article as:
Wheeler, A.P., Worden, R.E. & McLean, S.J. J Quant Criminol (2016) 32: 589. doi:10.1007/s10940-015-9268-3

Abstract

Objectives

Replicate two previous studies of temporal crime trends at the street block level. We replicate the general approach of group-based trajectory modelling of crimes at micro-places originally taken by Weisburd et al. (Criminology 42(2):283–322, 2004) and replicated by Curman et al. (J Quant Criminol 31(1):127–147, 2014). We examine patterns in a city of a different character (Albany, NY) than those previously examined (Seattle and Vancouver) and so contribute to the generalizability of previous findings.

Methods

Crimes between 2000 and 2013 were used to identify different trajectory groups at street segments and intersections. Zero-inflated Poisson regression models are used to identify the trajectories. Pin maps, Ripley’s K and neighbor transition matrices are used to show the spatial patterning of the trajectory groups.

Results

The trajectory solution with eight classes is selected based on several model selection criteria. The trajectory of each those groups follow the overall citywide decline, and are only separated by the mean level of crime. Spatial analysis shows that higher crime trajectory groups are more likely to be nearby one another, potentially suggesting a diffusion process.

Conclusions

Our work adds additional support to that of others who have found tight coupling of crime at micro-places. We find that the clustering of trajectories identified a set of street units that disproportionately contributed to the total level of crime citywide in Albany, consistent with previous research. However, the temporal trends over time in Albany differed from those exhibited in previous work in Seattle but were consistent with patterns in Vancouver.

Keywords

Group-based trajectory Micro-places Hot-spots Point-pattern Spatial criminology 

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.The John F. Finn Institute for Public Safety, Inc.AlbanyUSA
  2. 2.University at Albany, SUNYAlbanyUSA

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