Single-vehicle (SV) crash severity model considering spatiotemporal correlations has been
extensively investigated, but spatiotemporal interactions have not received sufficient …

Interaction effects constitute crucial crash attributes that can be classified into two distinct
categories: spatiotemporal interactions and factor interactions. These interactions are rarely …

Introduction: Spatiotemporal correlations have been widely recognized in single-vehicle
(SV) crash severity analysis. However, the interactions between them are rarely explored …

Most crash severity studies ignored severity correlations between driver–vehicle units
involved in the same crashes. Models without accounting for these within-crash correlations …

There is a high potential of severe injury outcomes in traffic crashes on rural interstate
highways due to the significant amount of high speed traffic on these corridors. Hierarchical …

Temporal variation has been recognized as one of the major sources of unobserved
heterogeneity in traffic safety research that has not been completely addressed. Overlooking …

Many studies have addressed spatial correlation in traffic collision modeling. It has been
generally concluded that the inclusion of spatial correlation improves model goodness of fit …

This study presents multi-level analyses for single-and multi-vehicle crashes on a
mountainous freeway. Data from a 15-mile mountainous freeway section on I-70 were …

Introduction: Traffic crashes could result in severe outcomes such as injuries and deaths.
Thus, understanding factors associated with crash severity is of practical importance. Few …

Road traffic crashes remain a major concern globally resulting in loss of life and worsening
the quality of life and productivity of the crash survivors. The current study contributes to road …