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 …
Exploring spatial autocorrelation of traffic crashes based on severity
As a developing country, Iran has one of the highest crash-related deaths, with a typical rate
of 15.6 cases in every 100 thousand people. This paper is aimed to find the potential …
of 15.6 cases in every 100 thousand people. This paper is aimed to find the potential …
A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data
The primary objective of this study is to investigate how the deep learning approach
contributes to citywide short-term crash risk prediction by leveraging multi-source datasets …
contributes to citywide short-term crash risk prediction by leveraging multi-source datasets …
Road safety research in the context of low-and middle-income countries: Macro-scale literature analyses, trends, knowledge gaps and challenges
Road users in low-and middle-income countries (LMICs) are overrepresented in road
trauma statistics. Despite the relative success of many high-income countries (HICs) in …
trauma statistics. Despite the relative success of many high-income countries (HICs) in …
How does the new-type urbanisation affect CO2 emissions in China? An empirical analysis from the perspective of technological progress
Z Wang, Y Sun, B Wang - Energy Economics, 2019 - Elsevier
The development of traditional urbanisation has generated environmental problems, so the
Chinese Government has proposed a new-type of urbanisation path with uniquely Chinese …
Chinese Government has proposed a new-type of urbanisation path with uniquely Chinese …
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 …
Factors influencing the injury severity of single-bicycle crashes
MS Myhrmann, KH Janstrup, M Møller… - Accident Analysis & …, 2021 - Elsevier
The majority of research on bicyclist injury severity relates to bicycle-motor vehicle crashes,
even though single-bicycle crashes make up more than half of bicycle crashes. This study …
even though single-bicycle crashes make up more than half of bicycle crashes. This study …
Pedestrian injury severity in motor vehicle crashes: an integrated spatio-temporal modeling approach
Traffic crashes are outcomes of human activities interacting with the diverse cultural, socio-
economic and geographic contexts, presenting a spatial and temporal nature. This study …
economic and geographic contexts, presenting a spatial and temporal nature. This study …
Traffic crash analysis with point-of-interest spatial clustering
R Jia, A Khadka, I Kim - Accident Analysis & Prevention, 2018 - Elsevier
This paper presents a spatial clustering method for macro-level traffic crash analysis based
on open source point-of-interest (POI) data. Traffic crashes are discrete and non-negative …
on open source point-of-interest (POI) data. Traffic crashes are discrete and non-negative …
Geographically weighted negative binomial regression applied to zonal level safety performance models
Abstract Generalized Linear Models (GLM) with negative binomial distribution for errors,
have been widely used to estimate safety at the level of transportation planning. The limited …
have been widely used to estimate safety at the level of transportation planning. The limited …