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 …

Road accident hot spots are evaluated and delineated in a South Indian city where
inadequate development of land transport network often leads to traffic congestion and …

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 …

GIS data and tools are revolutionizing transportation research and decision making,
allowing transportation analysts and professionals to understand and solve complex …

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 …

Geographical Information System (GIS) technology has been a popular tool for visualization
of accident data and analysis of hot spots in highways. Many traffic agencies have been …

This work examines the relationship between 3-year pedestrian crash counts across Census
tracts in Austin, Texas, and various land use, network, and demographic attributes, such as …

This paper presents a study aimed at comparing the outcome of two geostatistical-based
approaches, namely kernel density estimation (KDE) and kriging, for identifying crash …

Traditionally, data have been collected to measure and improve the performance of incident
management (IM). While these data are less detailed than crash records, they are timelier …