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Investigating How Social and Physical Distance Impact Offender and Victim Mobility with Discrete Choice Modeling

Journal of Quantitative Criminology

Published online on

Abstract

{"__content__"=>"\n Objectives\n \n \n Methods\n \n \n Results\n \n \n Conclusions\n \n ", "p"=>[{"__content__"=>"This study assesses how physical and social distances influence locational choice decision-making across six crime types—burglary, larceny, vehicle theft, assault offense, robbery, and drug violations. It aims to identify how physical distance and social distance affect locational choices in offending and the exposure patterns underlying victimization, while comparing offender and victim mobility across different crime types."}, {"__content__"=>"Employing a discrete choice modeling (DCM) framework, this analysis uses 341,804 police incident entries and 40,228 police arrest records from Dallas, covering 2014-06-01 to 2020-03-23. Data integrated from the 2010 Census and American Community Survey 5-year estimates are analyzed at the census block group level, controlling for features of target block groups."}, {"__content__"=>"Both offender and victim mobility exhibit clear distance decay patterns, with higher physical distances significantly reducing the likelihood of crime involvement in a block groups. Racial dissimilarity suppresses both offender and victim mobility across all crime types. Victim mobility is uniformly constrained by income difference. However, offender mobility responds to income differences in a crime-type-specific manner."}, {"__content__"=>"The findings demonstrate that offenders’ broader mobility pattern reflects intentional target selection and risk-seeking behavior, whereas victim mobility remains anchored in familiar social and spatial environments. These results emphasize the importance of disaggregating crime types and incorporating both physical and social distance in studying crime mobility."}]}