This study presents an empirical investigation of the impacts of real-time weather conditions
on the freeway crash severity. A Bayesian spatial generalized ordered logit model was …

Safety literature has traditionally developed independent model systems for macroscopic
and microscopic level analysis. The current research effort contributes to the literature on …

Traditionally, aggregate crash frequency by severity and disaggregate severity analysis
have been conducted independently in the safety literature. The current research effort …

The traffic flow pertinent modelling is essential for distinct strategy formulations. However,
the present literature illustrated some needed improvements for such models, especially …

There is a wide body of research, especially in developed countries case studies, conducted
to quantify safety impacts of transportation strategies. These models can be broadly divided …

Considering the varying effects of influencing factors, this study aims to model the
relationship between crash frequency and influencing factors for the highways involving …

To account for the spatial correlation of crashes that are in close proximity, this study
proposes a Bayesian spatial generalized ordered probit (SGOP) model with Leroux …

Introduction: Walking and cycling for transportation provide immense benefits (eg, health,
environmental, social). However, pedestrians and bicyclists are the most vulnerable …

This paper employs a Bayesian conditional autoregressive model to geographically analyze
housing prices in Seoul, Korea from a demographic perspective. Spatial dependence …

This research discusses the use of CAR model in finding out factors that significantly
influence TBC transmission and figuring out its transmission patterns in Gorontalo city. The …