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Police officer selection process for incident response

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conference contribution
posted on 13.04.2015, 14:46 by Johanna Leigh, Sarah DunnettSarah Dunnett, Lisa JacksonLisa Jackson
Due to the funding cuts the police are facing there is a growing need for increased resource efficiency. Current methods of officer dispatch do not use all the information available to make an informed decision on the most efficient officer to send to an incident. Automating the police officer selection for incident response can utilize this information to make an informed decision for which officer to send. The tool for selecting an officer described here, consists of mapping, routing, and decision making applications. The decision criteria used is officer availability, predicted possible response time, area coverage, and driving qualification. This increases the chance of selecting the most efficient officer to attend an incident. Through simulation it has been proved that making an informed decision can increase the efficiency significantly over random selection within the proximity.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IAENG International Conference on Operations Research

Citation

LEIGH, J., DUNNETT, S.J. and JACKSON, L.M, 2015. Police officer selection process for incident response. Lecture Notes in Engineering and Computer Science: Proceedings of The International MultiConference of Engineers and Computer Scientists 2014, IMECS 2014, 12-14 March 2014, Hong Kong.

Publisher

International Association of Engineers (IAENG)

Version

AM (Accepted Manuscript)

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/

Publication date

2015

Notes

This is a conference paper from IAENG International Conference on Operations Research, (ICOR'15), Hong Kong, 18-20 March, published subsequently in Lecture Notes in Computer Science.

ISBN

9789881925251

ISSN

2078-0958

eISSN

2078-0966

Language

en

Location

Hong Kong