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Optimising police dispatch for incident response in real-time

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journal contribution
posted on 2018-01-10, 12:00 authored by Sarah DunnettSarah Dunnett, Johanna M. Leigh, Lisa JacksonLisa Jackson
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.

Funding

This work was supported by the Economic and Social Research Council [ES/K002392/1].

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Journal of the Operational Research Society

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, 70 (2), pp.269-279.

Publisher

Palgrave Macmillan (© the Authors)

Version

  • NA (Not Applicable or Unknown)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2017-12-01

Publication date

2018-02-22

Notes

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/

ISSN

0160-5682

eISSN

1476-9360

Language

  • en

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