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What cognitive mechanisms predict travel mode choice? A systematic review with meta-analysis

Author

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  • Christin Hoffmann
  • Charles Abraham
  • Mathew P. White
  • Susan Ball
  • Stephen M. Skippon

Abstract

Reduced private car use can limit greenhouse gas emissions and improve public health. It is unclear, however, how promotion of alternative transport choices can be optimised. A systematic review and meta-analysis was conducted to identify potentially modifiable cognitive mechanisms that have been related to car use and use of alternative transport modes. A qualitative synthesis of measures of potentially modifiable mechanisms based on 43 studies yielded 26 conceptually distinct mechanism categories. Meta-analyses of associations between these mechanisms and car use/non-use generated 205 effects sizes (Pearson’s r) from 35 studies. The strongest correlates of car use were intentions, perceived behavioural control, attitudes and habit. The strongest correlates of alternative transportation choices were intentions, perceived behavioural control and attitudes. Implications for researchers and policy implementation are discussed.

Suggested Citation

  • Christin Hoffmann & Charles Abraham & Mathew P. White & Susan Ball & Stephen M. Skippon, 2017. "What cognitive mechanisms predict travel mode choice? A systematic review with meta-analysis," Transport Reviews, Taylor & Francis Journals, vol. 37(5), pages 631-652, September.
    • Handle: RePEc:taf:transr:v:37:y:2017:i:5:p:631-652
    DOI: 10.1080/01441647.2017.1285819
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    Cited by:

    1. Lattarulo, Patrizia & Masucci, Valentino & Pazienza, Maria Grazia, 2019. "Resistance to change: Car use and routines," Transport Policy, Elsevier, vol. 74(C), pages 63-72.
    2. Lars E. Olsson & Jana Huck & Margareta Friman, 2018. "Intention for Car Use Reduction: Applying a Stage-Based Model," IJERPH, MDPI, vol. 15(2), pages 1-14, January.
    3. Mundaca, Luis & Román-Collado, Rocío & Cansino, José M., 2022. "Assessing the impacts of social norms on low-carbon mobility options," Energy Policy, Elsevier, vol. 162(C).
    4. Marc Dijk & Moshe Givoni & Karen Diederiks, 2018. "Piling up or Packaging Policies? An Ex-Post Analysis of Modal Shift in Four Cities," Energies, MDPI, vol. 11(6), pages 1-20, May.
    5. Debbie Hopkins & Enrique García Bengoechea & Sandra Mandic, 2021. "Adolescents and their aspirations for private car-based transport," Transportation, Springer, vol. 48(1), pages 67-93, February.
    6. Haustein, Sonja & Kroesen, Maarten, 2022. "Shifting to more sustainable mobility styles: A latent transition approach," Journal of Transport Geography, Elsevier, vol. 103(C).
    7. Verena Gruber & Ingrid Peignier & Charlotte Dubuc & Yann-Édouard Cayard & Elinora Pentcheva, 2021. "Analyse des motivations d’achat de camions légers au Canada," CIRANO Project Reports 2021rp-06, CIRANO.
    8. Hoffmann, Christin & Abraham, Charles & Skippon, Stephen M. & White, Mathew P., 2018. "Cognitive construction of travel modes among high-mileage car users and non-car users – A Repertory Grid analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 216-233.
    9. Brian Buh & Stefanie Peer, 2022. "Environmental Concern and the Determinants of Night Train Use: Evidence from Vienna (Austria)," SRE-Disc sre-disc-2022_02, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
    10. Marco De Angelis & Luca Mantecchini & Luca Pietrantoni, 2021. "A Cluster Analysis of University Commuters: Attitudes, Personal Norms and Constraints, and Travel Satisfaction," IJERPH, MDPI, vol. 18(9), pages 1-15, April.
    11. Sottile, Eleonora & Tuveri, Giovanni & Piras, Francesco & Meloni, Italo, 2022. "Modelling commuting tours versus non-commuting tours for university students. A panel data analysis from different contexts," Transport Policy, Elsevier, vol. 118(C), pages 56-67.
    12. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Marra, Alessandro & Sarra, Alessandro, 2019. "An assessment of the role of cultural capital on sustainable mobility behaviours: Conceptual framework and empirical evidence," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 24-34.
    13. Xuemei Fu, 2021. "A novel perspective to enhance the role of TPB in predicting green travel: the moderation of affective-cognitive congruence of attitudes," Transportation, Springer, vol. 48(6), pages 3013-3035, December.
    14. Maljaee, Seyedeh Sara & Khadem Sameni, Melody, 2022. "Investigating factors affecting university students' use of subway before and after COVID-19 outbreak: A case study in Tehran," Journal of Transport Geography, Elsevier, vol. 105(C).
    15. Hoffmann, Christin & Abraham, Charles & White, Mathew P. & Skippon, Stephen M., 2020. "Ambivalent about travel mode choice? A qualitative investigation of car user and non-car user attitudes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 323-338.
    16. Muhammad Ahmad Al-Rashid & Muhammad Nadeem & Tiziana Campisi & Yong Adilah Shamsul Harumain & Hong Ching Goh, 2022. "How Do Psychosocial Barriers Shape Public Transport Use? A Mixed-Method Study among Older Adults in Pakistan," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    17. Ellis Keller & Andrea Aguilar & Daniel Hanss, 2018. "Car Sharers’ Interest in Integrated Multimodal Mobility Platforms: A Diffusion of Innovations Perspective," Sustainability, MDPI, vol. 10(12), pages 1-20, December.

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