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Efficiency Benchmarking Framework for Highway Patrol Agencies and Implementation for the Wyoming Highway Patrol

机译:高速公路巡逻机构的效率基准框架和怀俄明公路巡逻队的实施

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With many lives lost every year in crashes, highway traffic safety is a major concern. With 93% of crashes being contributed to by roadway users’ poor behaviors, one of the most effective ways to improve highway traffic safety is to improve the performance of organizations enforcing traffic laws to change those poor behaviors. This research introduces a framework that makes it possible to benchmark the efficiency performance within the highway patrol. Data envelopment analysis (DEA), a mathematical methodology based on the concepts of optimization and linear programming, was used to develop that framework to measure the efficiency performance of a highway patrol’s divisions. Such framework is used to measure and compare the efficiency performance of 17 divisions of the Wyoming Highway Patrol to allow internal benchmarking and thus to improve the overall organizational performance. The concepts discussed in this paper can be implemented by highway patrol agencies for internal and external efficiency benchmarking. Although DEA has been utilized for organizational performance evaluation in multiple sectors, literature review to date has not identified any study that has specifically utilized DEA in the context of highway traffic safety from the highway patrol’s perspective. As such, this study is original and timely.
机译:随着许多生命每年坠毁,公路交通安全都是一个主要问题。 93%的撞车队是巷道用户的糟糕行为贡献,最有效的方法是提高公路交通安全的最有效方法之一是提高组织执行交通法改变这些糟糕行为的绩效。本研究介绍了一个框架,使得可以在高速公路巡逻中基准测试效率性能。数据包络分析(DEA),一种基于优化和线性编程概念的数学方法,用于开发该框架来衡量高速公路巡逻部门的效率性能。这种框架用于测量和比较怀俄明公路巡逻队的17个部门的效率性能,以允许内部基准,从而提高整体组织绩效。本文讨论的概念可以由高速公路巡逻机构进行内部和外部效率基准。虽然DEA已被用于多个部门的组织绩效评估,但到目前为止的文献审查尚未确定在高速公路巡逻队的角度下公路交通安全的背景下专门使用DEA的任何研究。因此,这项研究是原始的和及时的。

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