Search
Now showing items 161-166 of 166
Structural equation modeling of public transport use with COVID-19 precautions: An extension of the norm activation model
(
Elsevier
, 2021 , Article)
This study aims to identify the travelers' attitudes and preferences towards the use of public transport during COVID-19 through the Norm-Activation Model (NAM). A questionnaire survey was designed to assess the traveler's ...
Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles
(
Springer Nature
, 2023 , Article)
Autonomous vehicles offer greater passenger convenience and improved fuel efficiency. However, they are likely to increase road transport activity and life cycle greenhouse emissions, due to several rebound effects. In ...
How circular economy can reduce scope 3 carbon footprints: Lessons learned from FIFA world cup Qatar 2022
(
Elsevier
, 2023 , Article)
Mega sporting events (MSEs) such as the FIFA World Cup and the Olympics always attract people around the world to visit the hosting country, boosting its tourism and business, and leaving a positive legacy. However, such ...
Self-reported likely behaviour of rail passengers during an emergency evacuation-A case study of Kuala Lumpur, Malaysia
(
Elsevier
, 2021 , Article)
Prior knowledge on how passengers behave during a potential emergency evacuation could be advantageous in designing efficient crowd management and emergency procedures. This study examines the likely behaviours of Malaysian ...
A hybrid approach for identifying factors affecting driver reaction time using naturalistic driving data
(
Elsevier Ltd
, 2019 , Article)
The National Transportation Safety Board (NTSB) estimates that 80% of the deaths and injuries resulting from rear-end collisions could be prevented by the use of advanced collision avoidance systems. While autonomous or ...
Studying critical pedestrian behavioral changes for the safety assessment at signalized crosswalks
(
Elsevier B.V.
, 2017 , Article)
Pedestrian-vehicle conflicts are one of the most important safety concerns at signalized intersections especially in urban areas. Conflicting vehicles and pedestrians select their maneuvers by predicting the other user ...