Injuries and risk factors associated with bicycle and electric bike use in China: a systematic review and meta-analysis

Y Li, Q Chen, Q Ma, H Yu, Y Huang, L Zhu, H Zhang… - Safety science, 2022 - Elsevier
Bicycles and electric bike riding have reshaped the transportation system worldwide and
have significantly contributed to road traffic injuries. However, the risk factors associated with …

Analysis of the injury severity of motor vehicle–pedestrian crashes at urban intersections using spatiotemporal logistic regression models

Q Zeng, Q Wang, K Zhang, SC Wong, P Xu - Accident Analysis & …, 2023 - Elsevier
This paper conducted a comprehensive study on the injury severity of motor vehicle–
pedestrian crashes at 489 urban intersections across a dense road network based on high …

Incorporating driving volatility measures in safety performance functions: Improving safety at signalized intersections

A Mohammadnazar, AL Patwary, N Moradloo… - Accident analysis & …, 2022 - Elsevier
About 40 percent of motor vehicle crashes in the US are related to intersections. To deal with
such crashes, Safety Performance Functions (SPFs) are vital elements of the predictive …

Crowdsourced data for physical activity-built environment research: applying strava data in Chengdu, China

L Yang, B Yu, P Liang, X Tang, J Li - Frontiers in Public Health, 2022 - frontiersin.org
The lack of physical activity has become a rigorous challenge for many countries, and the
relationship between physical activity and the built environment has become a hot research …

[HTML][HTML] Effects of proactive and reactive health control measures on public transport preferences of passengers–A stated preference study during the COVID-19 …

T Chen, X Fu, DA Hensher, ZC Li, NN Sze - Transport Policy, 2024 - Elsevier
The outbreak of COVID-19 has caused unprecedented disruptions to public transportation
services, passengers' mode choice preferences, and their behavioral pattern. Recent …

Investigating safety and liability of autonomous vehicles: Bayesian random parameter ordered probit model analysis

Q Yuan, X Xu, T Wang, Y Chen - Journal of intelligent and …, 2022 - ieeexplore.ieee.org
Purpose-This study aims to investigate the safety and liability of autonomous vehicles (AVs),
and identify the contributing factors quantitatively so as to provide potential insights on safety …

Estimating the effect of friction on crash risk: Reducing the effect of omitted variable bias that results from spatial correlation

S Katicha, G Flintsch - Accident Analysis & Prevention, 2022 - Elsevier
Omitted variable bias is one of the main factors that lead to incorrect estimates of the effect of
a variable on the expected number of crashes using regression modeling. We propose to …

Application of Bayesian Space-Time interaction models for Deer-Vehicle crash hotspot identification

MT Ashraf, K Dey - Accident Analysis & Prevention, 2022 - Elsevier
The objective of this research was to identify and prioritize deer-vehicle crash (DVC)
hotspots using five years of crash data. This study applied Bayesian spatiotemporal models …

Examining macro-level traffic crashes considering nonlinear and spatiotemporal spillover effects

W Zhou, P Xu, J Wu, J Huang - Accident Analysis & Prevention, 2025 - Elsevier
Understanding the impacts of traffic crashes is essential for safety management and
proactive safety protection. Current studies often hold the assumption of linearity and spatial …

Developing equity-aware safety performance functions for identifying hotspots of pedestrian-involved crashes

G Zhai, K Xie, D Yang, H Yang - Accident Analysis & Prevention, 2024 - Elsevier
Crashes are frequently disproportionally observed in disadvantaged areas. Despite the
evident disparities in transportation safety, there has been limited exploration of quantitative …