Transportation Research Part F-Traffic Psychology and Behaviour

(The H4-Index of Transportation Research Part F-Traffic Psychology and Behaviour is 36. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries107
Public perception of autonomous vehicles: A qualitative study based on interviews after riding an autonomous shuttle91
Attitudes towards privately-owned and shared autonomous vehicles89
Mobility as a service and sustainable travel behaviour: A thematic analysis study87
User acceptance of automated public transport82
Revealing psychological inertia in mode shift behavior and its quantitative influences on commuting trips78
Examining human attitudes toward shared mobility options and autonomous vehicles74
Exploring expert perceptions about the cyber security and privacy of Connected and Autonomous Vehicles: A thematic analysis approach72
Modelling the acceptance of fully autonomous vehicles: A media-based perception and adoption model68
How gender differences and perceptions of safety shape urban mobility in Southeast Asia65
Effects of explanation types and perceived risk on trust in autonomous vehicles64
A structural equation modeling approach for the acceptance of driverless automated shuttles based on constructs from the Unified Theory of Acceptance and Use of Technology and the Diffusion of Innovat60
How drivers adapt their behaviour to changes in task complexity: The role of secondary task demands and road environment factors49
A focus group study on the potential of autonomous vehicles as a viable transportation option: Perspectives from people with disabilities and public transit agencies47
After you?! – Use of external human-machine interfaces in road bottleneck scenarios46
The motivations for using bike sharing during the COVID-19 pandemic: Insights from Lisbon46
Risky behaviours associated with traffic crashes among app-based motorcycle taxi drivers in Vietnam46
Modelling the influence of time pressure on reaction time of drivers45
Exploratory factor analysis in transportation research: Current practices and recommendations45
Perceived risk of using shared mobility services during the COVID-19 pandemic44
Overall performance impairment and crash risk due to distracted driving: A comprehensive analysis using structural equation modelling44
Driver behaviour and traffic accident involvement among professional urban bus drivers in China43
Modeling pedestrian-cyclist interactions in shared space using inverse reinforcement learning43
Roles of personal and environmental factors in the red light running propensity of pedestrian: Case study at the urban crosswalks43
Effects of different non-driving-related-task display modes on drivers’ eye-movement patterns during take-over in an automated vehicle43
Sharing the road with autonomous vehicles: A qualitative analysis of the perceptions of pedestrians and bicyclists43
This is not me! Technology-identity concerns in consumers’ acceptance of autonomous vehicle technology42
Modeling the interaction between vehicle yielding and pedestrian crossing behavior at unsignalized midblock crosswalks42
The Long-Term effects of COVID-19 on travel behavior in the United States: A panel study on work from home, mode choice, online shopping, and air travel41
Factors of acceptability, acceptance and usage for non-rail autonomous public transport vehicles: A systematic literature review41
Modeling dispositional and initial learned trust in automated vehicles with predictability and explainability39
An international survey on the incidence and modulating factors of carsickness38
Buying an electric car: A rational choice or a norm-directed behavior?38
A perception-based cognitive map of the pedestrian perceived quality of service on urban sidewalks37
Autonomous buses: Intentions to use, passenger experiences, and suggestions for improvement37
An observational study on the risk behaviors of electric bicycle riders performing meal delivery at urban intersections in China37