Do Expressway Interchanges Increase Crash Injury Severities? Insights Using Temporal Instability and Unobserved Heterogeneity

被引:0
|
作者
Wang, Fang [1 ]
Wang, Chenzhu [2 ]
Easa, Said M. [3 ]
Lian, Siqi [4 ]
Chen, Fei [2 ]
Cheng, Jianchuan [2 ]
机构
[1] Ningxia Univ, Sch Civil Engn & Hydraul Engn, 539 West Helanshan Rd, Yinchuan 750021, Ningxia, Peoples R China
[2] Southeast Univ, Sch Transportat, 2 Sipailou, Nanjing 210096, Jiangsu, Peoples R China
[3] Toronto Metropolitan Univ, Dept Civil Engn, Toronto, ON, Canada
[4] Univ Michigan, Dept Civil & Environm Engn, 2350 Hayward St, Ann Arbor, MI 48109 USA
关键词
RANDOM PARAMETERS APPROACH; LOGIT MODEL; VEHICLE CRASHES; PROBIT ANALYSIS; SINGLE-VEHICLE; TRUCK; TIME; HIGHWAYS;
D O I
10.1155/2023/1682850
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Expressway crashes in interchange areas are a critical concern in China, posing significant economic and social challenges. Utilizing three years of crash data from the Beijing-Shanghai Expressway, this study investigates the transferability and heterogeneity of crash characteristics between interchange and noninterchange areas, as well as the temporal shifts in factors influencing injury severity levels. The research employs four series of random parameters logit models to estimate three potential crash injury severity outcomes of severe injury, minor injury, and no injury (based on the most severely injured individual in each crash) and to identify key determinants, encompassing driver, vehicle, roadway, environmental, temporal, traffic, and crash attributes. Likelihood ratio tests and out-of-sample predictions are utilized to assess the temporal stability and transferability of crash area characteristics. Additionally, the marginal effects of various determinants are calculated to understand their influence across different year periods and crash types. Key variables such as overspeed, single-vehicle, AADT (annual average daily traffic volume), Lsmin, and other crash type indicators are identified as significant random parameters, demonstrating heterogeneity in means and variances. Notable distinctions are observed between interchange and noninterchange crashes, indicating nontransferability, with most significant indicators revealing temporal instabilities. Furthermore, factors such as multivehicle involvement, buses, and nighttime conditions are identified as risk indicators, notably increasing the likelihood of severe injuries. These insights are invaluable for expressway designers and decision-makers, aiding in understanding the contributing mechanisms of various elements. This study suggests that stricter enforcement measures are crucial to prevent random lane changes, particularly at interchange entrances and exits. Additionally, effective management strategies and enforcement countermeasures should be implemented to mitigate crash injury outcomes in both interchange and noninterchange areas.
引用
收藏
页数:20
相关论文
共 17 条
  • [1] Unobserved heterogeneity and temporal instability in the analysis of work-zone crash-injury severities
    Islam, Mouyid
    Alnawmasi, Nawaf
    Mannering, Fred
    ANALYTIC METHODS IN ACCIDENT RESEARCH, 2020, 28
  • [2] Spatiotemporal instability analysis considering unobserved heterogeneity of crash-injury severities in adverse weather
    Yan, Xintong
    He, Jie
    Zhang, Changjian
    Liu, Ziyang
    Wang, Chenwei
    Qiao, Boshuai
    ANALYTIC METHODS IN ACCIDENT RESEARCH, 2021, 32
  • [3] Unobserved heterogeneity and the effects of driver nationality on crash injury severities in Saudi Arabia
    Alogaili, Asim
    Mannering, Fred
    ACCIDENT ANALYSIS AND PREVENTION, 2020, 144
  • [4] Temporal Instability and Transferability Analysis of Daytime and Nighttime Motorcyclist-Injury Severities Considering Unobserved Heterogeneity of Data
    Se, Chamroeun
    Champahom, Thanapong
    Jomnonkwao, Sajjakaj
    Wisutwattanasak, Panuwat
    Laphrom, Wimon
    Ratanavaraha, Vatanavongs
    SUSTAINABILITY, 2023, 15 (05)
  • [5] A temporal assessment of distracted driving injury severities using alternate unobserved-heterogeneity modeling approaches
    Alnawmasi, Nawaf
    Mannering, Fred
    ANALYTIC METHODS IN ACCIDENT RESEARCH, 2022, 34
  • [6] Analysis of factors influencing crash injury severities at highway-rail grade crossings accommodating for unobserved heterogeneity
    Se, Chamroeun
    Champahom, Thanapong
    Laphrom, Wimon
    Jomnonkwao, Sajjakaj
    Ratanavaraha, Vatanavongs
    FRONTIERS IN BUILT ENVIRONMENT, 2023, 9
  • [7] Temporal assessment of injury severities of two types of pedestrian-vehicle crashes using unobserved-heterogeneity models
    Wang, Chenzhu
    Ijaz, Muhammad
    Chen, Fei
    Easa, Said M.
    Zhang, Yunlong
    Cheng, Jianchuan
    Zahid, Muhammad
    JOURNAL OF TRANSPORTATION SAFETY & SECURITY, 2024, 16 (08) : 820 - 869
  • [8] Modeling injury severities of single and multi-vehicle freeway crashes considering spatiotemporal instability and unobserved heterogeneity
    Wang, Chenzhu
    Chen, Fei
    Cheng, Jianchuan
    Easa, Said M.
    TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH, 2024, 16 (03): : 234 - 262
  • [9] Evaluating gender differences in injury severities of non-helmet wearing motorcyclists: Accommodating temporal shifts and unobserved heterogeneity
    Wang, Chenzhu
    Ijaz, Muhammad
    Chen, Fei
    Zhang, Yunlong
    Cheng, Jianchuan
    Zahid, Muhammad
    ANALYTIC METHODS IN ACCIDENT RESEARCH, 2022, 36
  • [10] Injury severity of drowsy drivers involved in single vehicle crashes: Accounting for temporal instability and unobserved heterogeneity
    Al-Bdairi, Nabeel Saleem Saad
    Zubaidi, Hamsa
    Obaid, Ihsan
    INTERNATIONAL JOURNAL OF TRANSPORTATION SCIENCE AND TECHNOLOGY, 2024, 16 : 87 - 99