A comprehensive analysis of factors that influence interstate highway crash severity in Alabama

被引:23
|
作者
Adanu, Emmanuel Kofi [1 ]
Agyemang, William [2 ]
Islam, Riffat [2 ]
Jones, Steven [1 ,2 ]
机构
[1] Univ Alabama Syst, Alabama Transportat Inst, Tuscaloosa, AL 35487 USA
[2] Univ Alabama Syst, Civil Constrct & Environm Engn, Tuscaloosa, AL USA
关键词
Interstate; crash severity; crash location; single-vehicle; multi-vehicle; DRIVER-INJURY SEVERITY; RANDOM PARAMETERS APPROACH; SINGLE-VEHICLE CRASHES; LATENT CLASS ANALYSIS; LOGIT MODEL; HETEROGENEITY; FATALITIES; AGE; FREQUENCIES; COLLISION;
D O I
10.1080/19439962.2021.1949414
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
This paper identifies factors that influence the severity of interstate crash outcomes and how they vary depending on the location and manner of collision. Four separate injury severity models were developed to explore the differences and similarities in crash factors between single-and multi-vehicle crashes that occurred in rural and urban areas of the state. Random parameters multinomial logit with heterogeneity in means and variances modeling approach was used to account for unobserved heterogeneity in the crash data. The model estimation results show that some driver behavioral factors such as speeding, aggressive driving, failure to use seatbelt, and driving without a valid license were found to significantly contribute to some form of injury outcome. The influence of roadway features such as type of opposing lane separation, collision type, temporal and lighting conditions on crash outcomes were also explored. Some differences and similarities in the associations between these factors and crash injury severity based on the manner and location of crash were unraveled. These findings are expected to guide the implementation of crash countermeasures on interstates. The findings of this study further support the evidence for the analysis of subsets of crash data to unravel underlying complex relationships within factors that influence crash injury severity.
引用
收藏
页码:1552 / 1576
页数:25
相关论文
共 50 条
  • [21] Analysis of Crash Severity for Hazard Material Transportation Using Highway Safety Information System Data
    Song, Xiuguang
    Wu, Jianqing
    Zhang, Hongbo
    Pi, Rendong
    SAGE OPEN, 2020, 10 (03):
  • [22] Drug-Related Crash Severity Analysis Using the Highway Safety Information System Data
    Zhang, Yu
    Liu, Shijie
    Wu, Jianqing
    Lu, Quanli
    Yang, Qiang
    Song, Lihua
    Yu, Xiaowei
    Zhang, Hongbo
    Yang, Ziliang
    2021 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC), 2021, : 3659 - 3664
  • [23] The association between residential distance from a highway or interstate and severity of asthma symptoms
    Holford, TR
    McKay, L
    Belanger, K
    Triche, EW
    Gent, J
    Bracken, MB
    Leaderer, BP
    EPIDEMIOLOGY, 2002, 13 (04) : S155 - S156
  • [24] Risk Factors Affecting Driver Severity of Single-Vehicle Run Off Road Crash for Thailand Highway
    Se, Chamroeun
    Champahom, Thanapong
    Jomnonkwao, Sajjakaj
    Ratanavaraha, Vatanavongs
    ENGINEERING JOURNAL-THAILAND, 2020, 24 (05): : 207 - 216
  • [25] Identifying safety factors associated with crash frequency and severity on nonurban four-lane highway stretch in India
    ChikkaKrishna, Naveen Kumar
    Parida, Manoranjan
    Jain, S. S.
    JOURNAL OF TRANSPORTATION SAFETY & SECURITY, 2017, 9 : 6 - 32
  • [26] From racial zoning to community empowerment - The interstate highway system and the African American community in Birmingham, Alabama
    Connerly, CE
    JOURNAL OF PLANNING EDUCATION AND RESEARCH, 2002, 22 (02) : 99 - 114
  • [27] Influence Factor Analysis of Freeway Single-Vehicle Crash Severity
    Wen H.
    Zhang X.
    Zeng Q.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2021, 49 (08): : 12 - 18
  • [28] Comprehensive In-Service Performance Evaluation (ISPE) of Safety Barriers on Interstate 65 in Alabama
    Haleem, Kirolos
    Swartz, Abigail
    Anastasio, Israel
    Montgomery, Austin
    Murphy, Matthew
    INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2022: TRANSPORTATION SAFETY, 2022, : 35 - 47
  • [29] Factors Influencing the Severity of Crashes Caused by Motorcyclists: Analysis of Data from Alabama
    Jones, Steven
    Gurupackiam, Saravanan
    Walsh, Joe
    JOURNAL OF TRANSPORTATION ENGINEERING, 2013, 139 (09) : 949 - 956
  • [30] Finite mixture modeling approach for developing crash modification factors in highway safety analysis
    Park, Byung-Jung
    Lord, Dominique
    Wu, Lingtao
    ACCIDENT ANALYSIS AND PREVENTION, 2016, 97 : 274 - 287