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Title: Optimising police dispatch for incident response in real-time
Authors: Dunnett, Sarah J.
Leigh, Johanna M.
Jackson, Lisa M.
Keywords: Allocation
Decision support systems
Police incident response
Vehicle routing
Issue Date: 2018
Publisher: Palgrave Macmillan (© the Authors)
Citation: DUNNETT, S.J., LEIGH, J.M. and JACKSON, L.M., 2018. Optimising police dispatch for incident response in real-time. Journal of the Operational Research Society, In Press.
Abstract: It is crucial that police forces operate in a cost efficient manner and, in the case of incident response, that the most efficient resources are allocated. The current procedure is that police response units are allocated manually by a dispatcher using a resource list and mapping software. The efficiency of this process can be improved by the use of integrated mathematical approaches embedded within an automatic framework, yielding the optimal selection framework developed in this paper. The framework combines mapping and routing algorithms, and a decision process to facilitate optimal officer selection for incident response. The decision process considers information such as quickest response time, predicted traffic conditions, driving qualifications, response unit availability and demand coverage. The selection framework has been tested and validated through simulation and has shown to increase the efficiency of response units through reduced response times, increased response unit availability, and greater demand coverage.
Description: This is an Open Access Article. It is published by Palgrave Macmillan under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC BY-NC-ND). Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor: This work was supported by the Economic and Social Research Council [ES/K002392/1].
Version: Published version
DOI: 10.1080/01605682.2018.1434401
URI: https://dspace.lboro.ac.uk/2134/28031
Publisher Link: https://doi.org/10.1080/01605682.2018.1434401
ISSN: 0160-5682
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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