This paper proposes a new spatial multivariate count model to jointly analyze the traffic
crash-related counts of pedestrians and bicyclists by injury severity. The modeling …

We propose in this paper a spatial random coefficients flexible multivariate count model to
examine, at the spatial level of a census tract, the number of pedestrian injuries by injury …

This study investigates the effect of spatial correlation using a Bayesian spatial framework to
model pedestrian and bicycle crashes in Traffic Analysis Zones (TAZs). Aggregate models …

An analysis is presented of pedestrian and bicycle casualties by using cross-sectional time
series data for the regions of Great Britain. A fixed-effect negative binomial model is used …

Pedestrians and bicyclists are the victims of countless car crashes in US cities as well as
around the world. Yet, many dimensions of their involvement in crashes remain rather poorly …

This study contributes to the safety literature on active mode transportation safety by using a
copula-based model for crash frequency analysis at a macro level. Most studies in the …

This paper describes the development of macro-level crash models for active modes of
transportation incorporating spatial and mode correlation effects. The models are based on …

Introduction: Bicyclists are among vulnerable road users with their safety a key concern. This
study generates new knowledge about their safety by applying a spatial modeling approach …

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 …

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 …