Place-based correlates of Motor Vehicle Theft and Recovery: Measuring spatial influence across neighbourhood context

Eric Piza, Shun Feng, Leslie Kennedy, Joel Caplan

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Social scientists have long shown great interest in the spatial correlates of crime patterns. A subset of the literature has focused on how micro-level spatial factors influence the formation of crime hot spots. At the same time, tangential research has highlighted how neighbourhood disadvantage influences crime occurrence. The current study focuses on the intersection of these perspectives through a spatial analysis of Motor Vehicle Theft (MVT) and Motor Vehicle Recovery (MVR) in Colorado Springs, CO. We begin by conducting a Risk Terrain Modelling analysis to identify spatial risk factors significantly related to MVT and MVR occurrence. We then test whether the spatial influences of the criminogenic risk factors differ across traditional measures of neighbourhood disadvantage. Findings suggest that while a citywide effect is evident for multiple risk factors, their spatial influence on crime significantly varies across neighbourhood contexts.

Original languageEnglish (US)
Pages (from-to)2998-3021
Number of pages24
JournalUrban Studies
Volume54
Issue number13
DOIs
StatePublished - Oct 1 2017

All Science Journal Classification (ASJC) codes

  • Environmental Science (miscellaneous)
  • Urban Studies

Keywords

  • Motor Vehicle Recovery
  • Motor Vehicle Theft
  • Risk Terrain Modelling
  • environmental criminology
  • social disorganisation

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