Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities

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• dc.contributor.author Nadai, Marco De
• dc.contributor.author Xu, Yanyan
• dc.contributor.author Letouzé, Emmanuel
• dc.contributor.author González, Marta C.
• dc.contributor.author Lepri, Bruno
• dc.date.accessioned 2024-03-28T13:21:55Z
• dc.date.available 2024-03-28T13:21:55Z
• dc.date.issued 2020
• dc.description.abstract Seminal studies analyse crime records through historical panel data or analysis of historical patterns combined with ecological factor and exploratory mapping. More recently, machine learning methods have provided informed crime prediction over time. However, previous studies have focused on a single city at a time, considering only a limited number of factors (such as socio-economical characteristics) and often at large in a single city. Hence, our understanding of the factors influencing crime across cultures and cities is very limited. Here we propose a Bayesian model to explore how violent and property crimes are related not only to socio-economic factors but also to the built environmental (e.g. land use) and mobility characteristics of neighbourhoods. To that end, we analyse crime at small areas and integrate multiple open data sources with mobile phone traces to compare how the different factors correlate with crime in diverse cities, namely Boston, Bogotá, Los Angeles and Chicago. We find that the combined use of socio-economic conditions, mobility information and physical characteristics of the neighbourhood effectively explain the emergence of crime, and improve the performance of the traditional approaches. However, we show that the socio-ecological factors of neighbourhoods relate to crime very differently from one city to another. Thus there is clearly no “one fits all” model.
• dc.format.mimetype application/pdf
• dc.identifier.citation De Nadai M, Xu Y, Letouze E, Gonzalez MC, Lepri B. Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities. Sci Rep. 2020;10(1):13871. DOI: 10.1038/s41598-020-70808-2
• dc.identifier.doi http://dx.doi.org/10.1038/s41598-020-70808-2
• dc.identifier.issn 2045-2322
• dc.identifier.uri http://hdl.handle.net/10230/59612
• dc.language.iso eng
• dc.publisher Nature Research
• dc.relation.ispartof Scientific Reports. 2020;10(1):13871.
• dc.rights This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.title Socio-economic, built environment, and mobility conditions associated with crime: a study of multiple cities
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion