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Authors: Johanna Leigh ; Lisa Jackson and Sarah Dunnett

Affiliation: Loughborough University, United Kingdom

Keyword(s): Maximum Coverage Location Problem, Hotspots, Kernel Density Estimation, Tabu Search.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; e-Business ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Knowledge-Based Systems ; Logistics ; Methodologies and Technologies ; Operational Research ; Resource Allocation ; Symbolic Systems

Abstract: Police Forces are under a constant struggle to provide the best service possible with limited and decreasing resources. One area where service cannot be compromised is incident response. Resources which are assigned to incident response must provide attendance to the scene of an incident in a timely manner to protect the public. To ensure the possible demand is met maximum coverage location planning can be used so response officers are located in the most effective position for incident response. This is not the only concern of response officer positioning. Location planning must also consider targeting high crime areas, hotspots, as an officer presence in these areas can reduce crime levels and hence reduce future demand on the response officers. In this work hotspots are found using quadratic kernel density estimation with historical crime data. These are then used to produce optimal dynamic patrol routes for response officers to follow. Dynamic patrol routes result in reduced resp onse times and reduced crime levels in hotspot areas resulting in a lower demand on response officers. (More)

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Paper citation in several formats:
Leigh, J.; Jackson, L. and Dunnett, S. (2016). Police Officer Dynamic Positioning for Incident Response and Community Presence - Using Maximum Demand Coverage and Kernel Density Estimation to Plan Patrols. In Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-171-7; ISSN 2184-4372, SciTePress, pages 261-270. DOI: 10.5220/0005705402610270

@conference{icores16,
author={Johanna Leigh. and Lisa Jackson. and Sarah Dunnett.},
title={Police Officer Dynamic Positioning for Incident Response and Community Presence - Using Maximum Demand Coverage and Kernel Density Estimation to Plan Patrols},
booktitle={Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES},
year={2016},
pages={261-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005705402610270},
isbn={978-989-758-171-7},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - ICORES
TI - Police Officer Dynamic Positioning for Incident Response and Community Presence - Using Maximum Demand Coverage and Kernel Density Estimation to Plan Patrols
SN - 978-989-758-171-7
IS - 2184-4372
AU - Leigh, J.
AU - Jackson, L.
AU - Dunnett, S.
PY - 2016
SP - 261
EP - 270
DO - 10.5220/0005705402610270
PB - SciTePress

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