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Enhancing Patrol Management Strategy and Deployment Efficiency of Police Managers by Utilizing Automated Vehicle Locator (AVL) Technology

机译:利用自动车辆定位器(AVL)技术提高警务人员的巡逻管理策略和部署效率

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摘要

This dissertation focuses on the largest expenditure of police resources---patrol deployment. Police departments and administrators have the daunting task of deploying patrol officers to not only respond efficiently and effectively to citizen calls for help, but also in ways that deter would-be offenders and assure the public that safety and order is being maintained. The approach to deployment across the history of American policing has taken various forms with different motivations. In this study I will examine an innovative approach to patrol deployment---the use of an information technology known as automatic vehicle locator (AVL) systems within a specific managerial environment (Compstat) to direct patrol to high crime places. In this analysis, I document the variety of responses by police managers to such information, which was translated into a reporting instrument I developed, and discuss what that heterogeneity might mean to patrol deployment in a Compstat environment.
机译:本文的重点是警察资源的最大支出-巡逻部署。警察部门和管理人员的艰巨任务是部署巡逻人员,不仅要有效地回应市民的求助电话,而且要以阻止潜在犯罪者的方式并向公众保证安全和秩序。在美国警务历史上进行部署的方法采用了多种形式,动机各异。在本研究中,我将研究一种新颖的巡逻部署方法-在特定管理环境(Compstat)中使用称为自动车辆定位器(AVL)系统的信息技术将巡逻引导到高犯罪率的地方。在此分析中,我记录了警察经理对此类信息的各种回应,并将其转化为我开发的报告工具,并讨论了异质性对在Compstat环境中巡逻部署可能意味着什么。

著录项

  • 作者

    Jones, Gregory J.;

  • 作者单位

    George Mason University.;

  • 授予单位 George Mason University.;
  • 学科 Criminology.;Law enforcement.;Management.
  • 学位 Ph.D.
  • 年度 2018
  • 页码 169 p.
  • 总页数 169
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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