The Statistical Analysis of Crime Data at Street Level: Models Comparison

Enrico di Bella (), Lucia Leporatti () and Luca Persico ()
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Enrico di Bella: Economics Department, University of Genoa, Italy
Luca Persico: Economics Department, University of Genoa, Italy

No 4/2012, DEP - series of economic working papers from University of Genoa, Research Doctorate in Public Economics

Abstract: The main techniques used for the spatial analysis of Urban Crime can generally be traced to crime mapping techniques, which are mere representations of crime dispersion over a specific urban area without any statistical modeling of its correlation with the urban structure of the city or any group of socio-demographic and economic variables. In this work, as a proposal to overcome the aforesaid limitation, we analyze the crime occurrences, recorded at street level, in a highly populated district of the City of Genoa, and we use different statistical models to study crime events in relationship with the context in which they happened, interpreting the urban layout of the roads network as a lattice

Keywords: Urban Crime Analysis; Lattice Models; Space Syntax; Spatial Models (search for similar items in EconPapers)
JEL-codes: C21 C31 K42 O18 P25 (search for similar items in EconPapers)
Date: 2012-05
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