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|Title: ||Optimising police dispatch for incident response in real-time|
|Authors: ||Dunnett, Sarah J.|
Leigh, Johanna M.
Jackson, Lisa M.
Decision support systems
Police incident response
|Issue Date: ||2018|
|Publisher: ||Palgrave Macmillan|
|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 paper is closed access until 12 months after the date of publication.|
|Sponsor: ||This work was supported by the Economic and Social Research Council [ES/K002392/1].|
|Version: ||Accepted for publication|
|Publisher Link: ||http://www.springer.com/business+%26+management/operations+research/journal/41274|
|Appears in Collections:||Closed Access (Aeronautical and Automotive Engineering)|
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