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A review of spatial approaches in road safety
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 …
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
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 …
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
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 …
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 …
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
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 …
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
Understanding the underlying relationship between pedestrian injury severity outcomes and
factors leading to more severe injuries is very important in addressing the problem of …
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 …
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
Although a growing body of literature focuses on the relationship between the built
environment and pedestrian crashes, limited evidence is provided about the relative …
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 …
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
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 …
the city. This study goes beyond the traditional analysis of traditional traffic accident police …