A hybrid approach of random forest and random parameters logit model of injury severity modeling of vulnerable road users involved crashes

Z Sun, D Wang, X Gu, M Abdel-Aty, Y Xing… - Accident Analysis & …, 2023 - Elsevier
Vulnerable road users (VRUs) involved crashes are a major road safety concern due to the
high likelihood of fatal and severe injury. The use of data-driven methods and heterogeneity …

A Bayesian spatial Poisson-lognormal model to examine pedestrian crash severity at signalized intersections

S Munira, IN Sener, B Dai - Accident Analysis & Prevention, 2020 - Elsevier
Reducing nonmotorized crashes requires a profound understanding of the causes and
consequences of the crashes at the facility level. Generally, existing literature on bicyclists …

Exploring injury severity of vulnerable road user involved crashes across seasons: A hybrid method integrating random parameter logit model and Bayesian network

Z Sun, Y Xing, J Wang, X Gu, H Lu, Y Chen - Safety science, 2022 - Elsevier
Recently, vulnerable road user to motor vehicle (VRU-MV) crashes have been the focus of
much attention. Data from Shenyang, China were used for crashes analysis and significant …

A systematic approach to macro-level safety assessment and contributing factors analysis considering traffic crashes and violations

X Wang, X Zhang, Y Pei - Accident Analysis & Prevention, 2024 - Elsevier
During rapid urbanization and increase in motorization, it becomes particularly important to
understand the relationships between traffic safety and risk factors in order to provide …

Macro-level accident modeling in Novi Sad: A spatial regression approach

M Pljakić, D Jovanović, B Matović, S Mićić - Accident Analysis & Prevention, 2019 - Elsevier
In this study, a macroscopic analysis was conducted in order to identify the factors which
have an effect on traffic accidents in traffic analysis zones. The factors that impact accidents …

[HTML][HTML] Uncertainty matters: Bayesian modeling of bicycle crashes with incomplete exposure data

P Xu, L Bai, X Pei, SC Wong, H Zhou - Accident Analysis & Prevention, 2022 - Elsevier
Background One major challenge faced by neighborhood-level bicycle safety analysis is the
lack of complete and reliable exposure data for the entire area under investigation. Although …

A composite zonal index for biking attractiveness and safety

MB Kamel, T Sayed, A Bigazzi - Accident Analysis & Prevention, 2020 - Elsevier
Zonal characteristics (eg built environment, network configuration, socio-demographics, and
land use) have been shown to affect biking attractiveness and safety. However, previously …

Exploring injury severity of bicycle-motor vehicle crashes: A two-stage approach integrating latent class analysis and random parameter logit model

Z Sun, Y Xing, J Wang, X Gu, H Lu… - Journal of Transportation …, 2022 - Taylor & Francis
Bicycle–motor vehicle (BMV) crashes have been identified as a major type of traffic accident
affecting transportation safety. In order to determine the characteristics of BMV crashes in …

Critical factors analysis of severe traffic accidents based on Bayesian network in China

H Chen, Y Zhao, X Ma - Journal of advanced transportation, 2020 - Wiley Online Library
The purpose of this study is to minimize the negative influences of the severe traffic
accidents in China by profoundly analyzing the complex coupling relations among accident …

The impact of bike network indicators on bike kilometers traveled and bike safety: A network theory approach

MB Kamel, T Sayed - … and Planning B: Urban Analytics and …, 2021 - journals.sagepub.com
There has been recent interest in the use of network analysis to quantify bike network
features and their impact on biking levels and safety. However, limited bike network …