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Transportation Research Part F: Traffic Psychology and Behaviour
H-index 34

Transportation Research Part F: Traffic Psychology and Behaviour

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 264 62 130 27
Psychology 426 58 91 16

Additional Metrics

Number of Best Scientists*: 203
Documents by Best Scientists*: 318
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 127
SCIMAGO SJR: 1.153
Impact Factor: 4.4

Overview

Top Research Topics at Transportation Research Part F-traffic Psychology and Behaviour?

Transportation Research Part F-traffic Psychology and Behaviour mainly tackles studies in Human factors and ergonomics, Injury prevention, Applied psychology, Occupational safety and health and Transport engineering. The studies in Human factors and ergonomics featured incorporate elements of Social psychology, Risk perception, Computer security, Cognition and Suicide prevention. The study on Social psychology presented in Transportation Research Part F-traffic Psychology and Behaviour intersects with the topics under Theory of planned behavior.

The Injury prevention works featured in the journal incorporate elements from Developmental psychology, Context (language use), Demography and Psychological intervention. Transportation Research Part F-traffic Psychology and Behaviour explores issues in Applied psychology which can be linked to other research areas like Test (assessment), Perception, Distraction, Sample (statistics) and Driving simulator. The journal addresses concerns in Driving simulator which are intertwined with other disciplines, such as Control (management) and Task (project management).

In addition to Task (project management) research, Transportation Research Part F-traffic Psychology and Behaviour aims to explore topics under Cognitive psychology and Simulation. Pedestrian and Intersection (aeronautics) are all areas of Transport engineering tackled in the journal. Many of the studies tackled connect Anger with a similar field of study like Aggressive driving.

  • Human factors and ergonomics (35.26%)
  • Injury prevention (27.88%)
  • Applied psychology (22.59%)

What are the most cited papers published in the journal?

  • Car-following: a historical review (957 citations)
  • Effects of visual and cognitive load in real and simulated motorway driving (580 citations)
  • Public opinion on automated driving: results of an international questionnaire among 5000 respondents (549 citations)

Research areas of the most cited articles at Transportation Research Part F-traffic Psychology and Behaviour:

The published papers tackle a plethora of topics, such as Human factors and ergonomics, Injury prevention, Transport engineering, Social psychology and Occupational safety and health. The studies on Human factors and ergonomics discussed at the published articles can also contribute to research in the domains of Computer security, Cognition, Applied psychology, Distraction and Suicide prevention. The journal publications with studies in Social psychology featured incorporate elements of Theory of planned behavior and Perception.

What topics the last edition of the journal is best known for?

  • Law
  • Statistics
  • Social psychology

The previous edition focused in particular on these issues:

The objective of the journal is to combine knowledge in the areas of Applied psychology, Driving simulator, Perception, Pedestrian and Human factors and ergonomics. The research on Applied psychology tackled can also make contributions to studies in the areas of Psychological intervention, Test (assessment), Distraction, Control (management) and SAFER. While work presented in the journal provided substantial information on Distraction, it also covered topics in Phone and Mobile phone.

The study of Cognition and how it intertwines with concepts under Anxiety were explored in the presented Driving simulator research. The journal features Perception research that overlaps with concepts in Alertness. Human factors and ergonomics research featured in Transportation Research Part F-traffic Psychology and Behaviour incorporates concerns from various other topics such as Injury prevention, Occupational safety and health and Suicide prevention.

The most cited articles from the last journal are:

  • Modeling dispositional and initial learned trust in automated vehicles with predictability and explainability (10 citations)
  • Roles of personal and environmental factors in the red light running propensity of pedestrian: Case study at the urban crosswalks (10 citations)
  • 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 Innovation Theory (5 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Transportation Research Part F-traffic Psychology and Behaviour (based on the number of publications) are:

  • Türker Özkan (37 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Timo Lajunen (34 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Josef F. Krems (27 papers) absent at the last edition,
  • Barry C. Watson (24 papers) published 5 papers at the last edition,
  • Mark J.M. Sullman (23 papers) published 1 paper at the last edition the same number as at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Transportation Research Part F-traffic Psychology and Behaviour (based on the number of publications) are:

  • Queensland University of Technology (94 papers) published 15 papers at the last edition, 2 less than at the previous edition,
  • Delft University of Technology (62 papers) published 9 papers at the last edition, 3 more than at the previous edition,
  • Transport Research Institute (53 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Monash University (45 papers) published 6 papers at the last edition, 2 more than at the previous edition,
  • University of Leeds (44 papers) published 3 papers at the last edition, 4 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 5.99% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.59% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.25% of all publications and 58.82% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • 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

    Sina Nordhoff;Tyron Louw;Satu Innamaa;Esko Lehtonen

    (2020)
    235 Citations
  • Attitudes towards privately-owned and shared autonomous vehicles

    Sicheng Wang;Zhiqiu Jiang;Robert B. Noland;Andrew S. Mondschein

    (2020)
    127 Citations
  • 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 Innovation Theory

    Sina Nordhoff;Victor Malmsten;Bart van Arem;Peng Liu

    (2021)
    89 Citations
  • 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

    (2022)
    82 Citations
  • Pedestrians’ road crossing behaviour in front of automated vehicles: Results from a pedestrian simulation experiment using agent-based modelling

    Solmaz Razmi Rad;Gonçalo Homem de Almeida Correia;Gonçalo Homem de Almeida Correia;Marjan Hagenzieker

    (2020)
    65 Citations
  • The ability of young, middle-aged and older drivers to inhibit visual and auditory distraction in a driving simulator task

    Melanie Karthaus;Edmund Wascher;Michael Falkenstein;Stephan Getzmann

    (2020)
    61 Citations
  • This is not me! Technology-identity concerns in consumers’ acceptance of autonomous vehicle technology

    Xueqin Wang;Xueqin Wang;Yiik Diew Wong;Kevin X. Li;Kum Fai Yuen

    (2020)
    57 Citations
  • Effects of different non-driving-related-task display modes on drivers' eye-movement patterns during take-over in an automated vehicle

    Xiaomeng Li;Ronald Schroeter;Andry Rakotonirainy;Jonny Kuo

    (2020)
    54 Citations
  • Modeling pedestrian-cyclist interactions in shared space using inverse reinforcement learning

    Rushdi Alsaleh;Tarek Sayed

    (2020)
    54 Citations
  • Behavioral adaptations of human drivers interacting with automated vehicles

    (2022)
    52 Citations

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