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 …
determine how crashes are affected by neighboring locations, how the influence of …
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP
Understanding and quantifying the effects of risk factors on crash frequency is of great
importance for developing cost-effective safety countermeasures. In this paper, the effects of …
importance for developing cost-effective safety countermeasures. In this paper, the effects of …
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 …
Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors
This study develops a Bayesian spatial generalized ordered logit model with conditional
autoregressive priors to examine severity of freeway crashes. Our model can simultaneously …
autoregressive priors to examine severity of freeway crashes. Our model can simultaneously …
Mapping pedestrian safety studies between 2010 and 2021: A scientometric analysis
Pedestrian deaths constitute 23% of road traffic deaths globally. Although several research
papers have contributed to pedestrian safety analysis, they did not provide a comprehensive …
papers have contributed to pedestrian safety analysis, they did not provide a comprehensive …
A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics
Road safety is a major public health issue, with road crashes accounting for one-fourth of all
documented injuries. In these crashes, pedestrians are more vulnerable to fatal and/or …
documented injuries. In these crashes, pedestrians are more vulnerable to fatal and/or …
Forecasting international tourism demand: a local spatiotemporal model
This study investigates whether tourism forecasting accuracy is improved by incorporating
spatial dependence and spatial heterogeneity. One-to three-step-ahead forecasts of tourist …
spatial dependence and spatial heterogeneity. One-to three-step-ahead forecasts of tourist …
Exploring key spatio-temporal features of crash risk hot spots on urban road network: A machine learning approach
Traffic safety is a critical factor that has always been considered in policy making for urban
transportation planning and management. Accurately predicting crash risk hot spots allows …
transportation planning and management. Accurately predicting crash risk hot spots allows …
Multivariate space-time modeling of crash frequencies by injury severity levels
Road traffic crashes threaten thousands of drivers every day and significant efforts have
been put forth to reduce the number and mitigate the impacts of traffic crashes. Although the …
been put forth to reduce the number and mitigate the impacts of traffic crashes. Although the …
Jointly modeling area-level crash rates by severity: a Bayesian multivariate random-parameters spatio-temporal Tobit regression
This study investigates the inclusion of spatio-temporal correlation and interaction in a
multivariate random-parameters Tobit model and their influence on fitting areal crash rates …
multivariate random-parameters Tobit model and their influence on fitting areal crash rates …