Abstract

Motorcycle crash is considered as one of the critical safety issues. This study targets to examine the role of geometric design and other factors that contribute to the decision-making of motorcyclists, such as speeding, which could potentially result in a crash. This study analyzed Louisiana crash data from 2010 to 2016 to determine the patterns associated with speeding-related motorcycle crashes. The collected data contained information regarding crash characteristics and circumstances, characteristics of vehicles and drivers, crash locations, roadway types, traffic volume, segment length, and other relevant geometric information. This study employed a relatively new categorical data analysis method, which combines cluster and correspondence analysis. This study identified several high-risk scenarios in which a speeding-related motorcycle crash is more likely to occur through interactions with other related factors. The recommendations on the countermeasures can be used as a resource for policymakers to reduce speeding associated motorcycle crashes in Louisiana.

摘要

摩托车碰撞被认为是关键的安全问题之一。本研究旨在检查几何设计的作用和有助于摩托车手决策的其他因素，例如超速，这可能会导致撞车。这项研究分析了路易斯安那州 2010 年至 2016 年的碰撞数据，以确定与超速相关的摩托车碰撞相关的模式。收集的数据包含有关碰撞特征和情况、车辆和驾驶员特征、碰撞位置、道路类型、交通量、路段长度和其他相关几何信息的信息。本研究采用了一种相对较新的分类数据分析方法，它结合了聚类分析和对应分析。这项研究确定了几种高风险情景，在这些情景中，与其他相关因素的相互作用更有可能发生与超速相关的摩托车碰撞事故。有关对策的建议可用作决策者的资源，以减少路易斯安那州与超速相关的摩托车事故。