The COVID-19 pandemic has been influencing travel behaviour in many urban areas around the world since the beginning of 2020. As a consequence, bike-sharing schemes …
Recent literature on highway safety research has focused on methodological advances to minimize misspecifications and the potential for erroneous estimates and invalid statistical …
This study investigates the personal and societal impacts of motorcycle ban policy on the home-to-work morning commute of motorcyclists using self-reported travel behavioral data …
L Zheng, T Sayed - Analytic methods in accident research, 2019 - Elsevier
This study presents a Bayesian hierarchical model to estimate crashes from traffic conflict extremes in a non-stationary context. The model combines a peak over threshold approach …
This study performed statistical analyses to identify likely crash contributing factors for Head- on Fatal and Serious Injury (FSI) collisions involving heavy vehicles (HVs) on the …
This study applies mixture components in a multivariate random parameters spatial model for zonal crash counts. Three different modeling formulations are employed to demonstrate …
BY Katanalp, E Eren - Accident Analysis & Prevention, 2020 - Elsevier
In this study, two novel fuzzy decision approaches, where the fuzzy logic (FL) model was revised with the C4. 5 decision tree (DT) algorithm, were applied to the classification of …
Pedestrian safety in proximity to schools is a major concern of transportation authorities, local governments, and residents. In fact, several countermeasures (eg, school-zone speed …
Road deaths, injuries and property damage place a huge burden on the economy of most nations. Wyoming has a high crash rate on mountain passes. The crash rates observed in …