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 …

Accurate clearance time prediction for road incident would be helpful to evaluate the
incident impacting range and provide route guiding strategy according to the predicted …

Urban vitality has long been a focus of urban planners and designers. This study portrays
the spatiotemporal patterns of urban vitality in Chengdu, China, on weekdays and weekends …

As mobile device location data become increasingly available, new analyses are revealing
the significant changes of mobility pattern when an unplanned event happened. With …

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 …

Abstract Accident Analysis & Prevention (AA&P) is a leading academic journal established
in 1969 that serves as an important scientific communication platform for road safety studies …

This study develops a Bayesian spatial random parameters Tobit model to analyze crash
rates on road segments, in which both spatial correlation between adjacent sites and …

This study aims to propose a new algorithm to evaluate the rear-end collision risk under fog
conditions considering reduced visibility. The proposed algorithm compares the safe …

Abstract Generalized Linear Models (GLM) with negative binomial distribution for errors,
have been widely used to estimate safety at the level of transportation planning. The limited …