The ‘exposed’ population, violent crime in public space and the night-time economy

Journal article

Abstract:: The daily rhythms of the city, the ebb and flow of people undertaking routines activities, inform the spatial and temporal patterning of crime. Being able to capture citizen mobility and delineate a crime specific population denominator is a vital prerequisite of the endeavour to both explain and address crime. This paper introduces the concept of an exposed population-at-risk, defined as the mix of residents and non-residents who may play an active role as an offender, victim or guardian in a specific crime type, present in a spatial unit at a given time. This definition is deployed to determine the exposed population-at-risk for violent crime, associated with the night-time-economy, in public spaces. Through integrating census data with mobile phone data and utilising fine-grained temporal and spatial violent crime data, the paper demonstrates the value of deploying an exposed (over an ambient) population-at-risk denominator to determine violent crime in public space hotspots on Saturday nights in Greater Manchester (UK). In doing so, the paper illuminates that as violent crime in public space rises, over the course of a Saturday evening, the exposed population-at-risk falls, implying a shifting propensity of the exposed population-at-risk to perform active roles as offenders, victims and / or guardians. The paper concludes with a discussion of the theoretical and policy-relevance of these findings.

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Publisher:: Springer
Journal:: European Journal on Criminal Policy and Research More from this journal
Volume:: 27
Issue:: 3
Article number:: 335-52
Publication date:: 2020-06-20
Acceptance date:: 2020-05-27
DOI:: 10.1007/s10610-020-09452-5
EISSN:: 1572-9869
ISSN:: 0928-1371

Language:: English
Keywords:: mobile phone data

FFR

violent crime

public space

routine activities theory

night-time-economy

exposed population-at-risk
Pubs id:: 1107184
Local pid:: pubs:1107184
Deposit date:: 2020-05-27
ARK identifier:: ark:/29072/ora_4a906c0e1ea54d6194b42db94068cd69

Copyright holder:: Haleem et al.
Rights statement:: © The Author(s) 2020 Open Access: 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.

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