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 …

In 1997, the Journal of the American Planning Association published a pair of point–
counterpoint articles now listed by the American Planning Association as “classics” in the …

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 …

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 …

There is growing awareness among urban planning, public health, and transportation
professionals that design decisions and investments that promote walking can be beneficial …

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 …

The widely adopted techniques for regional crash modeling include the negative binomial
model (NB) and Bayesian negative binomial model with conditional autoregressive prior …

Problem: While concerns about traffic safety were central to the development of conventional
community design practice, there has been little empirical examination of the relationship …

Identifying crash “hotspots”,“blackspots”,“sites with promise”, or “high risk” locations is
standard practice in departments of transportation throughout the US. The literature is …

Public administration has adopted information and communication technology in order to
construct new intelligent systems and design new risk prevention strategies in transportation …