Road safety in low-income countries (LICs) remains a major concern. Given the expected
increase in traffic exposure due to the relatively rapid motorisation of transport in LICs, it is …

Highway accidents are complex events that involve a variety of human responses to external
stimuli, as well as complex interactions between the vehicle, roadway features/condition …

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 …

Road crashes are preventable causes of morbidity and mortality. In the US, substantial
crashes occur during the rush hour period. The rush hour represents the period of the day …

Recent literature on highway safety research has focused on methodological advances to
minimize misspecifications and the potential for erroneous estimates and invalid statistical …

Traditional accident analysis typically explores non-time-varying (stationary) factors that
affect accident occurrence on roadway segments. However, the impact of time-varying …

This study proposes a multivariate spatial model to simultaneously analyze the occurrence
of motor vehicle, bicycle and pedestrian crashes at urban intersections. The proposed model …

There have been great efforts to develop traffic crash prediction models for various types of
facilities. The crash models have played a key role to identify crash hotspots and evaluate …

This paper proposes a new spatial multivariate count model to jointly analyze the traffic
crash-related counts of pedestrians and bicyclists by injury severity. The modeling …

It is acknowledged that crash occurrence on segments and intersections could be affected
by multilevel factors. Omission of important explanatory variables could result in biased and …