This paper studies the influence of built environment (BE)–including land use types, road
network connectivity, transit supply and demographic characteristics–on pedestrian activity …

This study investigates (i) the link of land use and road design on pedestrian safety and (ii)
the effect of the level of spatial aggregation on the frequency of pedestrian accidents. For …

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

This paper advocates the use of multivariate Poisson-lognormal (MVPLN) regression to
develop models for collision count data. The MVPLN approach presents an opportunity to …

While rural freeways generally have lower crash rates, interactions between driver behavior,
traffic and geometric characteristics, and adverse weather conditions may increase the crash …

Despite the evident spatial character of road crashes, limited research has been conducted
in road safety analysis to account for spatial correlation; further, the practical consequences …

Recent research advocates the use of count models with random parameters as an
alternative method for analyzing accident frequencies. In this paper a dataset composed of …

There has been considerable research conducted on the development of statistical models
for predicting motor vehicle crashes on highway facilities. Over the last few years, there has …

Overdispersed count data arise commonly in disease mapping and infectious disease
studies. Typically, the level of overdispersion is assumed to be constant over time and …

This research presents a modeling approach to investigate the association of the accident
frequency during a snow storm event with road surface conditions, visibility and other …