Macroscopic traffic crash analyses have been conducted to incorporate traffic safety into
long-term transportation planning. This study aims at developing a multivariate Poisson …

There have been great efforts to develop traffic crash prediction models for various types of
facilities. The crash models have played a key role to identify crash hotspots and evaluate …

Objectives This paper aimed to (i) differentiate the effects of contributory factors on crash
risks related to different transportation modes, ie, motor vehicle, bicycle and pedestrian;(ii) …

According to crash configuration and pre-crash conditions, traffic crashes are classified into
different collision types. Based on the literature, multi-vehicle crashes, such as head-on, rear …

This study employed surrogate safety measures to evaluate the crash risks in different traffic
phases and phase transitions according to the three-phase theory. The analysis was …

Traditionally, crash frequency analyses have been undertaken at the macro-and micro-
levels, independently. This study proposes a Bayesian integrated spatial crash frequency …

This study aims at contributing to the literature on pedestrian and bicyclist safety by building
on the conventional count regression models to explore exogenous factors affecting …

BACKGROUND: Traditional crash prediction models, such as generalized linear regression
model, are incapable of taking into account multilevel data structure. Therefore they suffer …

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 …

Introduction Macro-level traffic safety analysis has been undertaken at different spatial
configurations. However, clear guidelines for the appropriate zonal system selection for …