eprintid: 10088450 rev_number: 29 eprint_status: archive userid: 608 dir: disk0/10/08/84/50 datestamp: 2020-01-08 15:04:36 lastmod: 2024-09-23 14:18:45 status_changed: 2020-01-08 15:04:36 type: article metadata_visibility: show creators_name: Umar, F creators_name: Johnson, S creators_name: Cheshire, J title: Assessing the Spatial Concentration of Urban Crime: An Insight from Nigeria ispublished: pub divisions: UCL divisions: B04 divisions: C05 divisions: F52 divisions: B03 divisions: C03 divisions: F26 keywords: Crime concentration; Breaking and entering; Theft; Kaduna; Nigeria; Monte Carlo simulation note: © The Author(s) 2020 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit https://creativecommons.org/licenses/by/4.0/. abstract: Objective: Research demonstrates that crime is concentrated. This finding is so consistent that David Weisburd refers to this as the “law of crime concentration at place”. However, most research on crime concentration has been conducted in the US or European cities and has used secondary data sources. In this study, we examine whether the law of crime concentration applies in the context of sub-Saharan Africa using primary data. / Methods: A crime victimization survey was used to collect data in the city of Kaduna (Nigeria). Using these data, the concentration of crime (breaking-and-entering and domestic theft) was examined at the household, street segment, and neighborhood levels. Specifically, variants of a Lorenz curve and the Gini index (GI) were used to examine whether crime concentrates at these different spatial scales and if such concentration reflects anything beyond the spatial distribution of opportunity for these types of offenses. / Results: Crime was found to concentrate at all spatial scales, and having accounted for expectation, given the distribution of opportunity, crime was most concentrated at the household level, closely followed by street segments. It was relatively less concentrated at the neighborhood level. / Conclusion: The current study extends previous research in a number of ways. It shows that the law of crime concentration at place applies in a very different context to most previous work. Unlike previous studies, we use primary data collected specifically to test the law, avoiding problems associated with the dark figure of crime. Moreover, the findings persist after accounting for crime opportunity. date: 2020-01-06 date_type: published publisher: Springer Verlag official_url: https://doi.org/10.1007/s10940-019-09448-3 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1732345 doi: 10.1007/s10940-019-09448-3 lyricists_name: Cheshire, James lyricists_name: Johnson, Shane lyricists_id: JACHE16 lyricists_id: SJOHN86 actors_name: Thomas, Chloe actors_id: CTHOM59 actors_role: owner full_text_status: public publication: Journal of Quantitative Criminology volume: 37 pagerange: 605-624 issn: 0748-4518 citation: Umar, F; Johnson, S; Cheshire, J; (2020) Assessing the Spatial Concentration of Urban Crime: An Insight from Nigeria. Journal of Quantitative Criminology , 37 pp. 605-624. 10.1007/s10940-019-09448-3 <https://doi.org/10.1007/s10940-019-09448-3>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10088450/1/Johnson_Johnson_Umar2020_Article_AssessingTheSpatialConcentrati.pdf