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 …

The article reaches two conclusions counter to accepted transportation engineering theory.
First, the traffic environments of dense urban areas appear to be safer than the lower-volume …

Introduction Driving environment, including road surface conditions and traffic states, often
changes over time and influences crash probability considerably. It becomes stretched for …

In adverse driving conditions, such as inclement weather and/or complex terrain, trucks are
often involved in single-vehicle (SV) accidents in addition to multi-vehicle (MV) accidents …

Urban and regional planning has a contribution to make toward improving pedestrian safety,
particularly in view of the fact that about 273,000 pedestrians were killed in road traffic …

Understanding factors affecting road accidents is an important area in road safety research.
This paper provides a review of the factors, with specific focus on traffic and road related …

Using injury and fatal crash data for Pennsylvania for 1996–2000, full Bayes (FB)
hierarchical models (with spatial and temporal effects and space–time interactions) are …

Count models such as negative binomial (NB) regression models are normally employed to
establish a relationship between area-wide traffic crashes and the contributing factors. Since …

This study attempts to evaluate the injury risk of pedestrian casualties in traffic crashes and
to explore the factors that contribute to mortality and severe injury, using the comprehensive …

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