OOIR: Observatory of International Research

Papers

(The H4-Index of Transportation Research Part F-Traffic Psychology and Behaviour is 34. 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 2020-07-01 to 2024-07-01.)

Article	Citations
Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries	120
Attitudes towards privately-owned and shared autonomous vehicles	103
Public perception of autonomous vehicles: A qualitative study based on interviews after riding an autonomous shuttle	97
Mobility as a service and sustainable travel behaviour: A thematic analysis study	93
Exploring expert perceptions about the cyber security and privacy of Connected and Autonomous Vehicles: A thematic analysis approach	83
Examining human attitudes toward shared mobility options and autonomous vehicles	82
Modelling the acceptance of fully autonomous vehicles: A media-based perception and adoption model	75
How gender differences and perceptions of safety shape urban mobility in Southeast Asia	75
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 Innovat	71
Effects of explanation types and perceived risk on trust in autonomous vehicles	70
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 travel	54
Factors of acceptability, acceptance and usage for non-rail autonomous public transport vehicles: A systematic literature review	54
Sharing the road with autonomous vehicles: A qualitative analysis of the perceptions of pedestrians and bicyclists	52
Driver behaviour and traffic accident involvement among professional urban bus drivers in China	51
The motivations for using bike sharing during the COVID-19 pandemic: Insights from Lisbon	50
Perceived risk of using shared mobility services during the COVID-19 pandemic	50
Exploratory factor analysis in transportation research: Current practices and recommendations	49
Modeling dispositional and initial learned trust in automated vehicles with predictability and explainability	47
This is not me! Technology-identity concerns in consumers’ acceptance of autonomous vehicle technology	47
Overall performance impairment and crash risk due to distracted driving: A comprehensive analysis using structural equation modelling	47
Modelling the influence of time pressure on reaction time of drivers	46
Modeling the interaction between vehicle yielding and pedestrian crossing behavior at unsignalized midblock crosswalks	45
Roles of personal and environmental factors in the red light running propensity of pedestrian: Case study at the urban crosswalks	44
A perception-based cognitive map of the pedestrian perceived quality of service on urban sidewalks	43
Autonomous buses: Intentions to use, passenger experiences, and suggestions for improvement	43

Buying an electric car: A rational choice or a norm-directed behavior?	42
An observational study on the risk behaviors of electric bicycle riders performing meal delivery at urban intersections in China	40
Trust and intention to use autonomous vehicles: Manufacturer focus and passenger control	39
Antecedents of consumer loyalty in ride-hailing	39
Car-following behavioural adaptation when driving next to automated vehicles on a dedicated lane on motorways: A driving simulator study in the Netherlands	37
Intention of Chinese college students to use carsharing: An application of the theory of planned behavior	36
Eliciting attitudinal factors affecting the continuance use of E-scooters: An empirical study in Chicago	35
Modeling the influence of mobile phone use distraction on pedestrian reaction times to green signals: A multilevel mixed-effects parametric survival model	35
The impact of a dedicated lane for connected and automated vehicles on the behaviour of drivers of manual vehicles	34
Developing human-machine trust: Impacts of prior instruction and automation failure on driver trust in partially automated vehicles	34