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 objective of this work is to determine and study, analyze and elaborate, classify and
categorize the main risk analysis and risk-assessment methods and techniques by …

The number of speeding-and drunk driving-related injuries in China surged in the years
immediately preceding 2004 and then began to decline. However, the percent decrease in …

A wide array of spatial units has been explored in current regional safety analysis. Since
traffic crashes exhibit extreme spatiotemporal heterogeneity which has rarely been a …

There is a growing interest in incorporating spatial indicators into freight demand model
systems. The indicators are measured for different areal units (eg, census tracts or block …

Applying Data-Driven Approaches to Crime and Traffic Safety (DDACTS) can help police
departments allocate limited resources more efficiently. By focusing on hazardous areas …

Human workers ensure the functioning of governments around the world. The efficacy of
human workers, in turn, is linked to the climatic conditions they face. Here we show that the …

Road traffic crashes are globally a leading cause of death. The current study tests the effect
of traffic tickets issued to drivers on subsequent crashes, using a unique dataset that …

Objective: Road crashes are considered as the eighth leading causes of death. There is a
wide disparity in crash severity and law enforcement efficiency among low-, medium-, and …

Recent research has shown the importance of spatial correlation in road crash models.
Because many different spatial correlation structures are possible, however, this study tested …