Driver safety and motor carrier profitability : identifying and understanding drivers in the fleet

J. Kent, R. Coulter, Mary K. Coulter
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引用次数: 2

Abstract

The objective of the study was to quantitatively explore truck driver safety records in an effort to determine and classify various types of drivers. Six safety variables relating to the number of safety points each driver had accumulated were analyzed using a cluster analysis procedure on 368 active drivers. The results of the study identified three clusters of drivers. Over 49.3 percent of the drivers were identified in a cluster labeled as the “Best Drivers.” The label “Ticket Magnets” was given to 23.6 percent of the drivers, and 27.1 percent of the sample was given the label “Accident Prone.” The individual clusters were also profiled on additional variables. The study findings indicate that most drivers are very good in all aspects of driver safety. Other drivers have some deficiencies which are addressed as managerial implications in the manuscript.
驾驶员安全和汽车运输公司的盈利能力:识别和了解车队中的驾驶员
本研究的目的是定量地探讨卡车司机的安全记录,以确定和分类各种类型的司机。使用聚类分析程序对368名活跃驾驶员进行了与每位驾驶员累积的安全点数量相关的六个安全变量分析。研究结果确定了三种类型的司机。超过49.3%的司机被认定为“最佳司机”。23.6%的司机被贴上了“罚单磁铁”的标签,27.1%的司机被贴上了“事故多发”的标签。还对个别集群进行了附加变量分析。研究结果表明,大多数司机在驾驶安全的各个方面都很好。其他驱动程序有一些缺陷,这些缺陷在手稿中作为管理含义加以解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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