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Understanding policing demand and deployment through the lens of the city and with the application of big data

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Ellison, Mark, Bannister, Jon, Lee, Won Do and Haleem, Muhammad Salman (2021) Understanding policing demand and deployment through the lens of the city and with the application of big data. Urban Studies, 58 (15). pp. 3157-3175. doi:10.1177/0042098020981007

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Official URL: https://doi.org/10.1177/0042098020981007

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Abstract

The effective, efficient and equitable policing of urban areas rests on an appreciation of the qualities and scale of, as well as the factors shaping, demand. It also requires an appreciation of the factors shaping the resources deployed in their address. To this end, this article probes the extent to which policing demand (crime, anti-social behaviour, public safety and welfare) and deployment (front-line resource) are similarly conditioned by the social and physical urban environment, and by incident complexity. The prospect of exploring policing demand, deployment and their interplay is opened through the utilisation of big data and artificial intelligence and their integration with administrative and open data sources in a generalised method of moments (GMM) multilevel model. The research finds that policing demand and deployment hold varying and time-sensitive association with features of the urban environment. Moreover, we find that the complexities embedded in policing demands serve to shape both the cumulative and marginal resources expended in their address. Beyond their substantive policy relevance, these findings serve to open new avenues for urban criminological research centred on the consideration of the interplay between policing demand and deployment.

Item Type: Journal Article
Subjects: H Social Sciences > HV Social pathology. Social and public welfare
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Law enforcement -- Data processing, Law enforcement -- Social aspects, Police administration -- Data processing
Journal or Publication Title: Urban Studies
Publisher: Sage Publications Ltd.
ISSN: 0042-0980
Official Date: 1 November 2021
Dates:
DateEvent
1 November 2021Published
26 February 2021Available
Volume: 58
Number: 15
Page Range: pp. 3157-3175
DOI: 10.1177/0042098020981007
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 5 August 2021
Date of first compliant Open Access: 6 August 2021
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
ES/P009301/1Economic and Social Research Councilhttp://dx.doi.org/10.13039/501100000269
Is Part Of: 1

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