Multiscale spatiotemporal patterns of crime: a Bayesian cross-classified multilevel modelling approach

Matthew Quick

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Characteristics of the urban environment influence where and when crime events occur; however, past studies often analyse cross-sectional data for one spatial scale and do not account for the processes and place-based policies that influence crime across multiple scales. This research applies a Bayesian cross-classified multilevel modelling approach to examine the spatiotemporal patterning of violent crime at the small-area, neighbourhood, electoral ward, and police patrol zone scales. Violent crime is measured at the small-area scale (lower-level units) and small areas are nested in neighbourhoods, electoral wards, and patrol zones (higher-level units). The cross-classified multilevel model accommodates multiple higher-level units that are non-hierarchical and have overlapping geographical boundaries. Results show that violent crime is positively associated with population size, residential instability, the central business district, and commercial, government-institutional, and recreational land uses within small areas and negatively associated with civic engagement within electoral wards. Combined, the three higher-level units explain approximately fifteen per cent of the total spatiotemporal variation of violent crime. Neighbourhoods are the most important source of variation among the higher-level units. This study advances understanding of the multiscale processes influencing spatiotemporal crime patterns and provides area-specific information within the geographical frameworks used by policymakers in urban planning, local government, and law enforcement.

Original languageEnglish (US)
Pages (from-to)339-365
Number of pages27
JournalJournal of Geographical Systems
Volume21
Issue number3
DOIs
StatePublished - Sep 1 2019
Externally publishedYes

Keywords

  • Crime pattern
  • Cross-classified data
  • Multilevel model
  • Neighbourhood
  • Spatiotemporal

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Earth-Surface Processes

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