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 …

Crash risk, crash exposure, and the built environment: A conceptual review

LA Merlin, E Guerra, E Dumbaugh - Accident Analysis & Prevention, 2020 - Elsevier
Abstracts This paper reviews the literature on the relationship between the built environment
and roadway safety, with a focus on studies that analyse small geographical units, such as …

Modeling crash spatial heterogeneity: Random parameter versus geographically weighting

P Xu, H Huang - Accident Analysis & Prevention, 2015 - Elsevier
The widely adopted techniques for regional crash modeling include the negative binomial
model (NB) and Bayesian negative binomial model with conditional autoregressive prior …

Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models

Q Cai, J Lee, N Eluru, M Abdel-Aty - Accident Analysis & Prevention, 2016 - Elsevier
This study attempts to explore the viability of dual-state models (ie, zero-inflated and hurdle
models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency …

Multivariate crash modeling for motor vehicle and non-motorized modes at the macroscopic level

J Lee, M Abdel-Aty, X Jiang - Accident Analysis & Prevention, 2015 - Elsevier
Macroscopic traffic crash analyses have been conducted to incorporate traffic safety into
long-term transportation planning. This study aims at developing a multivariate Poisson …

[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 …

A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics

J Su, NN Sze, L Bai - Accident Analysis & Prevention, 2021 - Elsevier
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 …

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 …

Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods

R Amoh-Gyimah, M Saberi, M Sarvi - Accident Analysis & Prevention, 2016 - Elsevier
The paper presents a cross-comparison of different estimation methods to model pedestrian
and bicycle crashes. The study contributes to macro level safety studies by providing further …

Exploring key spatio-temporal features of crash risk hot spots on urban road network: A machine learning approach

P Wu, T Chen, YD Wong, X Meng, X Wang… - … research part A: policy …, 2023 - Elsevier
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 …