期刊
TRANSPORTMETRICA A-TRANSPORT SCIENCE
卷 19, 期 2, 页码 -出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/23249935.2022.2029613
关键词
Moped and seated motor scooter; crash data analysis; fatal crash patterns; cluster correspondence analysis; dimension reduction
Moped and seated motor scooter riders have a high risk of being involved in crash accidents. A study analyzed fatal crash data and identified critical clusters in order to develop interventions to minimize collisions and fatalities.
Moped and seated motor scooter (50 ccs or less) riders have a relatively high risk of becoming crash casualties. Comparison between 2015 and 2019 fatal crash data indicates that fatal moped crashes have increased by 76%, whereas fatal motorcycle crashes have decreased by 2%. This study collected moped and seated motor scooter-related fatal crash data for five years (2015-2019) from the Fatality Analysis Reporting System (FARS) to perform the analysis. Using an innovative categorical data analysis method known as cluster correspondence analysis (CCA), this study identified some critical clusters with a group of co-occurring variable categories. The contextual understanding of fatal crash patterns could guide authorities in developing data-driven interventions and countermeasures aiming to minimize moped collisions and related fatalities. The findings of this study can provide a better understanding of the patterns of contributing factors in moped and seated motor scooter fatal crashes.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据