Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has
been an area of research focus for many decades. However, in the absence of detailed …

The intent of this note is to succinctly articulate additional points that were not provided in the
original paper (Lord et al., 2005) and to help clarify a collective reluctance to adopt zero …

The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …

There is a growing literature on the changing travel patterns in the United States. The
changes are largely driven by the emerging shared-mobility services and the travel behavior …

There has been considerable research conducted over the last 20 years focused on
predicting motor vehicle crashes on transportation facilities. The range of statistical models …

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 …

This article estimated a multinomial logit model to identify the factors determining the
severity of pedestrian–vehicle crashes in South Korea. Our results showed that relative to …

Numerous efforts have been devoted to investigating crash occurrence as related to
roadway design features, environmental factors and traffic conditions. However, most of the …

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