4.6 Article

Weekly variations and temporal instability of determinants influencing alcohol-impaired driving crashes: A random thresholds random parameters hierarchical ordered probit model

期刊

出版社

ELSEVIER
DOI: 10.1016/j.amar.2021.100189

关键词

Transferability; Temporal stability; Alcohol-impaired driving; Random thresholds random parameters; Hierarchical ordered probit model

资金

  1. National Natural Science Foundation of China [51778141, 52072069]
  2. Post-graduate Research & Practice Innovation Program of Jiangsu Province [KYCX21_0130]

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The study investigates the weekly transferability and temporal stability of factors determining different injury severity levels in alcohol-impaired driving crashes, finding that certain indicators exhibit relative weekly transferability and temporal stability. This can aid in preventing alcohol-impaired driving crashes and informing the development of crash injury mitigation policies.
Alcohol consumption has been acknowledged as a critical determinant concerning the occurrence of vehicle crashes and their resulting injury severities. To investigate the weekly transferability and temporal stability of the contributors determining different injury severity levels in alcohol-impaired driving crashes, this paper employs two groups of random thresholds random parameters hierarchical ordered probit models. Three injury-severity categories are determined as outcome variables: no injury, minor injury and severe injury, while multiple factors are investigated as explanatory variables including driver characteristics, vehicle characteristics, roadway characteristics, environmental characteristics, crash characteristics and temporal characteristics. The weekly transferability and temporal stability of the models are examined through three groups of likelihood ratio tests. Marginal effects are also adopted to analyze the weekly transferability and temporal stability of the explanatory variables. Overall, the findings exhibit weekly variations and temporal instability while some indicators are also observed to be of relative weekly transferability including speeding, aggressive driving, proceeding, motorcycle, speed limit between 45 and 55 mph, curve, driveway, overturned, hit-fixed-object, vehicle age (5-9 years old). Besides, curve and passenger car indicators in weekday models present relative temporal stability. This paper can provide insights into preventing alcohol-impaired driving crashes and can potentially facilitate the development of the corresponding crash injury mitigation policies. More studies could be conducted integrating the advanced data-driven methods into the statistical models to simultaneously achieve inference and prediction. (C) 2021 Elsevier Ltd. All rights reserved.

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