TY - JOUR AV - restricted UR - http://dx.doi.org/10.1016/j.compenvurbsys.2024.102088 SN - 0198-9715 A1 - Snaphaan, T A1 - Hardyns, W A1 - Pauwels, LJR A1 - Bowers, K VL - 109 N2 - This study assesses how the quality of place management (measured with user-generated ratings from Google Places) is related to crime occurrences at specific settings and whether specific crime types are related to specific types of places. In 50 randomly sampled neighborhoods in Ghent (Belgium) and London (United Kingdom), we analyzed Google Places data as a proxy measure for the quality of place management at the street segment level. We used hurdle models to examine the effects for both the prevalence and frequency of crime at micro places, and to deal with excess zeros in the data. User-generated ratings of places provide a useful place-level indicator for place management that are related to crime. However, contextual differences are found between Ghent and London. For London, the results suggest that higher quality of place management has a protective effect on crime occurrences at the street segment level. This study indicates the importance of exploring new and emerging data sources as unique measurement opportunities to enhance insight in crime prevention mechanisms, and also acknowledges its limitations. For the first time from a large-scale empirical perspective, this study suggest that improving place management at specific places might be an effective intervention to guard against crime. KW - Big data KW - Crime concentrations KW - Google Places KW - Place management KW - Situational crime prevention JF - Computers, Environment and Urban Systems TI - Rating places and crime prevention: Exploring user-generated ratings to assess place management PB - Elsevier BV N1 - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions. ID - discovery10189598 Y1 - 2024/04/01/ ER -