Using latent class clustering and binary logistic regression to model Australian cyclist injury severity in motor vehicle–bicycle crashes

SA Samerei, K Aghabayk, N Shiwakoti… - Journal of safety …, 2021 - Elsevier
Abstract Introduction: In recent years, Australia is seeing an increase in the total number of
cyclists. However, the rise of serious injuries and fatalities to cyclists has been a major …

Post-pandemic shared mobility and active travel in Alabama: a machine learning analysis of COVID-19 survey data

N Xu, Q Nie, J Liu, S Jones - Travel behaviour and society, 2023 - Elsevier
The COVID-19 pandemic has had unprecedented impacts on the way we get around, which
has increased the need for physical and social distancing while traveling. Shared mobility …

Enhancing bicyclist survival time in fatal crashes: Investigating the impact of faster crash notification time through explainable machine learning

I Mahdinia, N Moradloo… - … Safety & Security, 2023 - Taylor & Francis
Bicyclists are recognized as vulnerable road users, with the escalating fatalities posing a
safety concern. While fatal crashes involving bicyclists are often assumed to be similar, there …

Integrating machine learning into path analysis for quantifying behavioral pathways in bicycle-motor vehicle crashes

W Lu, J Liu, X Fu, J Yang, S Jones - Accident Analysis & Prevention, 2022 - Elsevier
The behavioral pathways in traffic crashes describe the chained linkages among
contributing factors, pre-crash road user behaviors, and crash outcomes. Bicyclists are more …

Linking short-and long-term impacts of the COVID-19 pandemic on travel behavior and travel preferences in Alabama: A machine learning-supported path analysis

N Xu, Q Nie, J Liu, S Jones - Transport policy, 2024 - Elsevier
This study examines the impacts of the COVID-19 pandemic on short-term travel behavior
and long-term travel preferences among residents of Alabama, using survey data. The study …

An analysis of the effects of crash factors and precrash actions on side impact crashes at unsignalized intersections

EK Adanu, X Li, J Liu, S Jones - Journal of advanced …, 2021 - Wiley Online Library
Annually, side impact crashes contribute to a significant proportion of road fatalities. These
crashes typically occur as a result of traffic violations at intersections. This study contributes …

Florida teen driver crash risk factors and injury severity before and during COVID-19 pandemic: an application of structural equation modeling

S Jang, X Li, C Lee, S Wright - … research part F: traffic psychology and …, 2024 - Elsevier
Motor vehicle injuries and deaths among adolescents are a significant public health concern
in need of persistent attention. During the COVID-19 pandemic, standard traffic safety …

[HTML][HTML] Behavioral pathway analysis of pedestrian injury severity in pedestrian-motor vehicle crashes

S Okafor, J Liu, EK Adanu, S Jones - … research interdisciplinary perspectives, 2023 - Elsevier
Despite the health and environmental benefits of walking as an active and sustainable mode
of transport, the increasing number of road crashes involving pedestrians has become a …

[HTML][HTML] Analyzing safety concerns of (e-) bikes and cycling behaviors at intersections in urban area

J Wang, Y Chen, D Chen - Sustainability, 2022 - mdpi.com
Extensive effort has been devoted to examining the causal relationship between contributing
factors and injury severities. Given the important role of riders' behaviors in traffic conflicts …

[HTML][HTML] City-oriented and inclusive bicycle-vehicle crash frequency modeling through the integration of bicycle-sharing system and other surrogates

P Kalambay, SS Pulugurtha - Transportation Research Interdisciplinary …, 2022 - Elsevier
This research explores a city-oriented and inclusive bicycle-vehicle crash frequency model
through the integration of bicycle-sharing system and other surrogates pertaining to the built …