Modeling distracted driving behavior considering cognitive processes

Accident Analysis & Prevention, Journal Year: 2024, Volume and Issue: 202, P. 107602 - 107602

Published: May 2, 2024

Language: Английский

Road’s mortality prediction for the most vulnerable users in the context of the COVID-19 pandemic in Santiago de Cali, Colombia

Journal of Infrastructure Policy and Development, Journal Year: 2024, Volume and Issue: 8(9), P. 3293 - 3293

Published: Sept. 2, 2024

The purpose of this study is to predict the frequency mortality from urban traffic injuries for most vulnerable road users before, during and after confinement caused by COVID-19 in Santiago de Cali, Colombia. Descriptive statistical methods were applied crash identify users. Spatial georeferencing was carried out analyze distribution crashes three moments, during, confinement, subsequently, behavior at those moments predicted within framework probabilistic random walk. results showed that user cyclist, followed motorcyclist, motorcycle passenger, pedestrian. between years 2019 2020 a change density, while 2021 trend like observed. predictions daily frequencies these very close reported frequency. strengthened considering descriptive analysis range values may indicate possibility underreporting cases registered city’s official agency. These provide new elements policy makers develop implement preventive measures, allocate emergency resources, establishment policies, plans strategies aimed prevention control due face extraordinary situations such as pandemic or other similar events.

Language: Английский

Impact of non-pharmaceutical COVID-19 interventions on cyclist and pedestrian injuries in five cities of the province of Quebec

Journal of Transport & Health, Journal Year: 2024, Volume and Issue: 41, P. 101975 - 101975

Published: Dec. 21, 2024

Language: Английский