A review of spatial approaches in road safety

A Ziakopoulos, G Yannis - Accident Analysis & Prevention, 2020 - Elsevier
Spatial analyses of crashes have been adopted in road safety for decades in order to
determine how crashes are affected by neighboring locations, how the influence of …

Pathways from built environment to health: A conceptual framework linking behavior and exposure-based impacts

LD Frank, N Iroz-Elardo, KE MacLeod… - Journal of Transport & …, 2019 - Elsevier
Background and purpose A growing body of evidence documents multiple ways in which
land use and transportation investments influence health. To date, most evidence linking the …

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 …

Geographically weighted random forests for macro-level crash frequency prediction

D Wu, Y Zhang, Q **ang - Accident Analysis & Prevention, 2024 - Elsevier
Abstract Machine learning models such as random forests (RF) have been widely applied in
the field of road safety. RF is a prominent algorithm, overcoming the limitations of using a …

Using ordered and unordered logistic regressions to investigate risk factors associated with pedestrian crash injury severity in Victoria, Australia

M Nasri, K Aghabayk, A Esmaili, N Shiwakoti - Journal of safety research, 2022 - Elsevier
Introduction: The safety of pedestrians is a major concern in Victoria, Australia. Despite the
considerable number of pedestrian fatalities and injuries in traffic crashes, a limited number …

A clustering regression approach: A comprehensive injury severity analysis of pedestrian–vehicle crashes in New York, US and Montreal, Canada

MG Mohamed, N Saunier, LF Miranda-Moreno… - Safety science, 2013 - Elsevier
Understanding the underlying relationship between pedestrian injury severity outcomes and
factors leading to more severe injuries is very important in addressing the problem of …

Investigating the influence of streetscape environmental characteristics on pedestrian crashes at intersections using street view images and explainable machine …

H Yue - Accident Analysis & Prevention, 2024 - Elsevier
Examining the relationship between streetscape features and road traffic accidents is pivotal
for enhancing roadway safety. While previous studies have primarily focused on the …

Non-linear effects of the built environment on automobile-involved pedestrian crash frequency: A machine learning approach

C Ding, P Chen, J Jiao - Accident Analysis & Prevention, 2018 - Elsevier
Although a growing body of literature focuses on the relationship between the built
environment and pedestrian crashes, limited evidence is provided about the relative …

Effect of urban street trees on pedestrian safety: A micro-level pedestrian casualty model using multivariate Bayesian spatial approach

M Zhu, NN Sze, S Newnam - Accident Analysis & Prevention, 2022 - Elsevier
In the past decades, trees were considered roadside hazard. Street trees were removed to
provide clear zone and improve roadside safety. Nowadays, street trees are considered to …

Investigation of clusters and injuries in pedestrian crashes using GIS in Changsha, China

L Hu, X Wu, J Huang, Y Peng, W Liu - Safety science, 2020 - Elsevier
Improving the pedestrian traffic environment is important for the sustainable development of
the city. This study goes beyond the traditional analysis of traditional traffic accident police …