Optimizing patrol force utilization by genetic algorithm

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Optimizing patrol force utilization by genetic algorithm

 

Author: Hon, Wai-ting
Title: Optimizing patrol force utilization by genetic algorithm
Degree: M.Sc.
Year: 2008
Subject: Hong Kong Polytechnic University -- Dissertations.
Hong Kong Police Force.
Police patrol -- China -- Hong Kong -- Mathematical models.
Resource allocation -- Case studies.
Department: Dept. of Industrial and Systems Engineering
Pages: ix, 130 leaves : ill. ; 30 cm.
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b2179490
URI: http://theses.lib.polyu.edu.hk/handle/200/3253
Abstract: Over the past few years, the role of the police has been changing, as the public's expectations on police work has increased. The public do not expect police just to catch thieves. Instead, they now demand a much broader and more service oriented service scope, which includes dealing with issues like family violence. The Hong Kong police force is one of the finest forces in the world; there are around 30,000 disciplined staff working in different departments. About half of them belong to the uniform bureau whose main duty is street patrol where they provide immediate response and crime prevention. This force is facing two big challenges: increasing crime rates and manpower shortage. The purpose of this study is to find a systematic method to improve the utilization of patrol allocation. First, this study, reviews empirical research. Then, it develops a mathematical model that suits Hong Kong and discusses the implementation details. Lastly, it presents a case study to show how the optimal allocation was determined and compares it with the current allocation. The result shows that the utilization of the optimal allocation is 2% better than the estimated current allocation. There is still room for resource re-allocation.

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