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Understanding transport mode choice for commuting: the role of affect

Author

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  • Augustus Ababio-Donkor
  • Wafaa Saleh
  • Achille Fonzone

Abstract

This study examines the relationship between positive and negative user valence and transport mode choice behaviour. We integrate latent attitudes ‘affect’ and ‘salience’ into transport mode choice models using the framework of integrated choice and latent variable modelling and simultaneous maximum likelihood estimation methods. The results are consistent with findings in similar travel behaviour and behavioural economics literature. The study extends the findings of previous research and has demonstrated that user sentiments about public transport mode and salient public transport experiences have a significant impact on travel mode choice behaviour. It was found that private motorised users are more sensitive to overcrowding and anti-social behaviours on PT than active and PT travellers. Key attitudinal indicators influencing individual transport choice behaviour are established to guide public policy. The key indicators of Affect and Salience must be analysed and addressed through public policy to enhance PT user experience and develop services and facilities to increase the utility of PT in-vehicle travel time.

Suggested Citation

  • Augustus Ababio-Donkor & Wafaa Saleh & Achille Fonzone, 2020. "Understanding transport mode choice for commuting: the role of affect," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(4), pages 385-403, May.
    • Handle: RePEc:taf:transp:v:43:y:2020:i:4:p:385-403
    DOI: 10.1080/03081060.2020.1747203
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    Cited by:

    1. Martina Erdelić & Tonči Carić & Tomislav Erdelić & Leo Tišljarić, 2022. "Transition State Matrices Approach for Trajectory Segmentation Based on Transport Mode Change Criteria," Sustainability, MDPI, vol. 14(5), pages 1-20, February.
    2. Yue Ding & Ruimin Li & Xiaokun Wang & Joshua Schmid, 2022. "Heterogeneity of autonomous vehicle adoption behavior due to peer effects and prior-AV knowledge," Transportation, Springer, vol. 49(6), pages 1837-1860, December.
    3. Matthew Wigginton Bhagat-Conway & Laura Mirtich & Deborah Salon & Nathan Harness & Alexis Consalvo & Shuyao Hong, 2024. "Subjective variables in travel behavior models: a critical review and Standardized Transport Attitude Measurement Protocol (STAMP)," Transportation, Springer, vol. 51(1), pages 155-191, February.

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