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 …
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 …
provides a vision-based analytic approach to scientometric analysis which can be used to …
Do high visibility crosswalks improve pedestrian safety? A correlated grouped random parameters approach using naturalistic driving study data
In this study, the effectiveness of High-Visibility Crosswalks (HVCs) in improving pedestrian
safety at urban settings is assessed using SHRP2 (Second Strategic Highway Research …
safety at urban settings is assessed using SHRP2 (Second Strategic Highway Research …
[HTML][HTML] GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning
S Mohammed, AH Alkhereibi, A Abulibdeh… - Transportation research …, 2023 - Elsevier
Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts
to reduce them and promote sustainable transport systems. This study aimed to investigate …
to reduce them and promote sustainable transport systems. This study aimed to investigate …
A multivariate spatial model of crash frequency by transportation modes for urban intersections
This study proposes a multivariate spatial model to simultaneously analyze the occurrence
of motor vehicle, bicycle and pedestrian crashes at urban intersections. The proposed model …
of motor vehicle, bicycle and pedestrian crashes at urban intersections. The proposed model …
Advancing proactive crash prediction: A discretized duration approach for predicting crashes and severity
Driven by advancements in data-driven methods, recent developments in proactive crash
prediction models have primarily focused on implementing machine learning and artificial …
prediction models have primarily focused on implementing machine learning and artificial …
Fifty years of accident analysis & prevention: A bibliometric and scientometric overview
Abstract Accident Analysis & Prevention (AA&P) is a leading academic journal established
in 1969 that serves as an important scientific communication platform for road safety studies …
in 1969 that serves as an important scientific communication platform for road safety studies …
A new econometric approach for modeling several count variables: a case study of crash frequency analysis by crash type and severity
There is limited adoption of research modeling crash severity frequency considering
different crash types due to the challenge associated with analyzing large number of …
different crash types due to the challenge associated with analyzing large number of …
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 …
Developing a grouped random parameters multivariate spatial model to explore zonal effects for segment and intersection crash modeling
It is acknowledged that crash occurrence on segments and intersections could be affected
by multilevel factors. Omission of important explanatory variables could result in biased and …
by multilevel factors. Omission of important explanatory variables could result in biased and …