The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis

C Yang, M Chen, Q Yuan - Accident Analysis & Prevention, 2021 - Elsevier
Due to the burgeoning demand for freight movement, freight related road safety threats have
been growing substantially. In spite of some research on the factors influencing freight truck …

Mapping the knowledge domain of road safety studies: A scientometric analysis

X Zou, HL Vu - Accident Analysis & Prevention, 2019 - Elsevier
As a way of obtaining a visual expression of knowledge, mapping knowledge domain (MKD)
provides a vision-based analytic approach to scientometric analysis which can be used to …

Impact of traffic and road infrastructural design variables on road user safety–a systematic literature review

A Choudhary, RD Garg, SS Jain… - International Journal of …, 2024 - Taylor & Francis
Road transportation is more favoured as it is less expensive and relatively faster than other
modes of transportation. A higher probability of getting involved in crashes reveals its …

Discovering injury severity risk factors in automobile crashes: a hybrid explainable AI framework for decision support

M Amini, A Bagheri, D Delen - Reliability Engineering & System Safety, 2022 - Elsevier
Millions of car crashes occur annually in the US, leaving tens of thousands of deaths and
many more severe injuries. Thus, understanding the most impactful contributors to severe …

Goods movement, road safety, and spatial inequity: Evaluating freight-related crashes in low-income or minority neighborhoods

Q Yuan, J Wang - Journal of Transport Geography, 2021 - Elsevier
The significant growth in freight traffic and relevant crashes has aroused increasing
concerns about road safety threats in local communities. We use data from the Minneapolis …

Geographical detection of traffic accidents spatial stratified heterogeneity and influence factors

Y Zhang, H Lu, W Qu - … journal of environmental research and public …, 2020 - mdpi.com
The purpose of this paper is to investigate the existence of stratification heterogeneity in
traffic accidents in Shenzhen, what factors influence the casualties, and the interaction of …

Discovering insightful rules among truck crash characteristics using apriori algorithm

J Hong, R Tamakloe, D Park - Journal of advanced …, 2020 - Wiley Online Library
This study aims to discover hidden patterns and potential relationships in risk factors in
freight truck crash data. Existing studies mainly used parametric models to analyze the …

Road investment and traffic safety: An international study

F Calvo-Poyo, J Navarro-Moreno, J de Oña - Sustainability, 2020 - mdpi.com
The aim of this study is to analyse whether the economic resources invested in roads—both
investment in construction and expenditure on maintenance and conservation—have any …

The effect of long term non-invasive pavement deterioration on accident injury-severity rates: A seemingly unrelated and multivariate equations approach

MT Sarwar, PC Anastasopoulos - Analytic methods in accident research, 2017 - Elsevier
This paper seeks to measure the effect of long term non-invasive pavement deterioration on
accident injury-severity rates, and demonstrate the potential of considering safety as one of …

Crash frequency modeling using real-time environmental and traffic data and unbalanced panel data models

F Chen, S Chen, X Ma - … journal of environmental research and public …, 2016 - mdpi.com
Traffic and environmental conditions (eg, weather conditions), which frequently change with
time, have a significant impact on crash occurrence. Traditional crash frequency models with …