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Investigating the effects of psychological factors on commuting mode choice behaviour

Author

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  • Ahmed Osman Idris
  • Khandker M. Nurul Habib
  • Alejandro Tudela
  • Amer Shalaby

Abstract

This paper utilizes socio-psychometric survey data to investigate the influence of attitudes, affective appraisal and habit formation on commuting mode choice. The data-set was collected in 2009-2010 in Edmonton, Alberta. In addition to conventional socio-economic, demographic and modal attributes, the survey gathered psychological information regarding habitual behaviour, affective appraisal and personal attitudes. Different psychometric tools were used to capture psychological factors affecting mode choice. Habitual behaviour was measured using Verplanken's response-frequency questionnaire. Affective appraisal was indirectly estimated using the Osgood's semantic differential. Five-point Likert scales were used to measure attitude. The structural equation modelling (SEM) approach was used to investigate the effects of psychological factors on mode choice behaviour. SEM captures the latent nature of psychological factors and uses path diagrams to identify the directionality as well as intensity of the relationships. The investigation reveals that passengers have positive emotions towards their chosen mode. Further, evidence of the superiority of the car as a travel alternative was established in terms of strong habit towards it, such that passengers would use the car for almost every single trip.

Suggested Citation

  • Ahmed Osman Idris & Khandker M. Nurul Habib & Alejandro Tudela & Amer Shalaby, 2015. "Investigating the effects of psychological factors on commuting mode choice behaviour," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(3), pages 265-276, April.
  • Handle: RePEc:taf:transp:v:38:y:2015:i:3:p:265-276
    DOI: 10.1080/03081060.2014.997451
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    Cited by:

    1. Ruone Zhang & Xin Ye & Ke Wang & Dongjin Li & Jiayu Zhu, 2019. "Development of Commute Mode Choice Model by Integrating Actively and Passively Collected Travel Data," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    2. Blandin, Lola & Vecchio, Giovanni & Hurtubia, Ricardo & Tiznado-Aitken, Ignacio, 2024. "Car dependency in the urban margins: The influence of perceived accessibility on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    3. Hernández, Jaime, 2021. "Tiempo de desplazamiento al puesto laboral y relación con los empleados autónomos: el caso de las mujeres trabajadoras alemanas [Commuting time and relationship with self-employed: the case of Germ," MPRA Paper 106040, University Library of Munich, Germany.
    4. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2020. "Commuting and self-employment in Western Europe," Journal of Transport Geography, Elsevier, vol. 88(C).
    5. Geng, Jichao & Long, Ruyin & Chen, Hong & Li, Wenbo, 2017. "Exploring the motivation-behavior gap in urban residents’ green travel behavior: A theoretical and empirical study," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 282-292.

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