期刊
JOURNAL OF SAFETY RESEARCH
卷 84, 期 -, 页码 306-315出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jsr.2022.11.006
关键词
Crash data; Crash severity; Lane departure; Statistical analysis; Multinomial logit
Lane departure crashes in Maine are responsible for over 70% of roadway fatalities. This study analyzes the impact of roadway, driver, and weather factors on the severity of single-vehicle lane departure crashes occurring on rural roadways. The findings provide valuable insights for safety analysts and practitioners in Maine to improve maintenance strategies, enhance safety measures, and increase awareness across the state.
Introduction: In Maine, lane departure crashes account for over 70% of roadway fatalities. The majority of roadways in Maine are rural. Moreover, Maine has aging infrastructure, houses the oldest population in the United States, and experiences the third coldest weather in the United States. Methods: This study analyzes the impact of roadway, driver, and weather factors on the severity of single-vehicle lane departure crashes occurring from 2017 to 2019 on rural roadways in Maine. Rather than using police reported weather, weather station data were utilized. Four facility types: Interstates, minor arterials, major collectors, and minor collectors were considered for analysis. The Multinomial Logistic Regression model was used for the analysis. The property damage only (PDO) outcome was considered as the reference (or base) category. Results: The modeling results show that the odds of a crash leading to major injury or fatality (KA outcome) increases by 330%, 150%, 243%, and 266% for older drivers (65 or above) compared to young drivers (29 or less) on Interstates, minor arterials, major collectors, and minor collectors, respectively. During the winter period (October to April), the odds of KA severity outcome (with respect to the PDO) decreases by 65%, 65%, 65%, and 48% on Interstates, minor arterials, major collectors, and minor collectors, respectively, presumably due to reduced speeds during winter weather events. Conclusion: In Maine, factors such as older drivers, operating under the influence, speeding, precipitation, and not wearing a seatbelt showed higher odds of leading to injury. Practical Applications: This study provides safety analysts and practitioners in Maine a comprehensive study of factors that influence the severity of crashes in Maine at different facilities to improve maintenance strategies, enhance safety using proper safety countermeasures, or increase awareness across the state.(c) 2022 National Safety Council and Elsevier Ltd. All rights reserved.
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