Unobserved heterogeneity and the statistical analysis of highway accident data

FL Mannering, V Shankar, CR Bhat - Analytic methods in accident research, 2016 - Elsevier
Highway accidents are complex events that involve a variety of human responses to external
stimuli, as well as complex interactions between the vehicle, roadway features/condition …

Analytic methods in accident research: Methodological frontier and future directions

FL Mannering, CR Bhat - Analytic methods in accident research, 2014 - Elsevier
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …

Why are older adults more at risk as pedestrians? A systematic review

K Wilmut, C Purcell - Human factors, 2022 - journals.sagepub.com
Objective To explore factors that could explain why older adults are more at risk at the
roadside. Background The physical and psychological health benefits of walking have been …

Injury severity prediction of traffic crashes with ensemble machine learning techniques: A comparative study

A Jamal, M Zahid, M Tauhidur Rahman… - … journal of injury …, 2021 - Taylor & Francis
A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …

Temporal stability of pedestrian injury severity in pedestrian-vehicle crashes: New insights from random parameter logit model with heterogeneity in means and …

A Zamani, A Behnood, SR Davoodi - Analytic Methods in Accident …, 2021 - Elsevier
Pedestrians can be categorized as the most vulnerable road users since they have less
protection compared to other road users, which makes their safety of utmost importance for …

Differences between day and night pedestrian-injury severities: Accounting for temporal and unobserved effects in prediction

A Alogaili, F Mannering - Analytic methods in accident research, 2022 - Elsevier
This study explores the differences between day and night pedestrian-injury severities in
vehicle–pedestrian crashes over a five-year period using data from the state of Kansas …

Day-of-the-week variations and temporal instability of factors influencing pedestrian injury severity in pedestrian-vehicle crashes: A random parameters logit approach …

Y Li, L Song, WD Fan - Analytic methods in accident research, 2021 - Elsevier
Using pedestrian-vehicle crash data in North Carolina from 2007 to 2018, this study
explores the potential variation in the influence of factors affecting pedestrian injury severity …

Emerging trends and influential outsiders of transportation science

M Haghani, MCJ Bliemer - Transportation letters, 2023 - Taylor & Francis
Fifty years of evolution of transportation research is revisited based on bibliometric indicators
of nearly 50,000 articles, the collective publication of all transportation journals. A multitude …

Transparent deep machine learning framework for predicting traffic crash severity

K Sattar, F Chikh Oughali, K Assi, N Ratrout… - Neural Computing and …, 2023 - Springer
Abstract Analysis of crash injury severity is a promising research target in highway safety
studies. A better understanding of crash severity risk factors is vital for the proactive …

[HTML][HTML] Comparative analysis of pedestrian crash severity at United Kingdom rural road intersections and Non-Intersections using latent class clustering and ordered …

A Salehian, K Aghabayk, MA Seyfi… - Accident Analysis & …, 2023 - Elsevier
Pedestrian safety is a critical issue in the United Kingdom (UK) as pedestrians are the most
vulnerable road users. Despite numerous studies on pedestrian-vehicle crashes globally …