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Session Submission Type: Pre-arranged Panel
Car theft remains a problem in most major metropolitan areas in spite of decades of innovation in anti-theft technologies. This session brings together researchers working in Europe and the United States to examine empirical patterns in car theft. The session looks at the environments that foster car theft as well as differences in theft patterns across car types. The session asks how crime patterns can be leveraged to develop and implement novel crime prevention strategies that specifically target car theft.
A place-based big data policing approach to car theft prevention - Robin Khalfa, Ghent University; Wim Hardyns, Ghent University
What do “balance-of-trade” models tell us about variation in supply and demand for stolen cars across city neighborhoods? - P. Jeffrey Brantingham, University of California Los Angeles; Craig D. Uchida, Justice & Security Strategies, Inc.
Empowering Youth to Become Co-producers of Community Safety: Implementing a Community Response to Address an Unprecedented Increase in Kia and Hyundai Auto Thefts - Alejandro Gimenez-Santana, Rutgers University; Adriana Santos, Rutgers University; Gaspard Tissandier, School of Criminal Justice Rutgers University-Newark
Comparing patterns in car theft across different built environments - Craig D. Uchida, Justice & Security Strategies, Inc.; P. Jeffrey Brantingham, University of California Los Angeles; Shellie Solomon, Justice & Security Strategies; Robin Khalfa, Ghent University; Wim Hardyns, Ghent University