IDEAS home Printed from https://ideas.repec.org/p/gbl/wpaper/2016-05.html
   My bibliography  Save this paper

Socio-psychological determinants of mode choice habits

Author

Listed:
  • Bouscasse, H.
  • Bonnel, P.

Abstract

This article uses structural equation modeling with latent variables to analyse the influence of socio-psychological variables on mode choice habits. Considering theories from socio-psychological research, we propose to link together environmental concern, motives for car use, public transport perceptions and mode choice habits (public transport and car). Based on a recent survey carried out by the authors in the Rhône-Alpes Region of France, we show that a high environmental concern and positive perceptions of public transport promote public transport habits. The process by which environmental concern influences public transport habits is partially mediated by perceptions of public transport. Conversely, car use habits are reduced for people with a high environmental concern. Results also suggest that car use habits are more marked to the extent that they depend on affective and symbolic motives.

Suggested Citation

  • Bouscasse, H. & Bonnel, P., 2016. "Socio-psychological determinants of mode choice habits," Working Papers 2016-05, Grenoble Applied Economics Laboratory (GAEL).
  • Handle: RePEc:gbl:wpaper:2016-05
    as

    Download full text from publisher

    File URL: https://gael.univ-grenoble-alpes.fr/sites/gael/files/doc-recherche/WP/A2016/gael2016-05.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    2. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    3. Mokhtarian, Patricia L. & Salomon, Ilan, 2001. "How derived is the demand for travel? Some conceptual and measurement considerations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 695-719, September.
    4. Astrid De Witte & Joachim Hollevoet & Frédéric Dobruszkes & Michel Hubert & Cathy Macharis, 2013. "Linking modal choice to motility: a comprehensive review," ULB Institutional Repository 2013/138176, ULB -- Universite Libre de Bruxelles.
    5. Muñoz, Begoña & Monzon, Andres & López, Elena, 2016. "Transition to a cyclable city: Latent variables affecting bicycle commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 84(C), pages 4-17.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Molin, Eric & Mokhtarian, Patricia & Kroesen, Maarten, 2016. "Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 14-29.
    8. Vincent Kaufmann & Manfred Max Bergman & Dominique Joye, 2004. "Motility: mobility as capital," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 28(4), pages 745-756, December.
    9. De Witte, Astrid & Hollevoet, Joachim & Dobruszkes, Frédéric & Hubert, Michel & Macharis, Cathy, 2013. "Linking modal choice to motility: A comprehensive review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 329-341.
    10. Beirão, Gabriela & Sarsfield Cabral, J.A., 2007. "Understanding attitudes towards public transport and private car: A qualitative study," Transport Policy, Elsevier, vol. 14(6), pages 478-489, November.
    11. Jensen, Mette, 1999. "Passion and heart in transport -- a sociological analysis on transport behaviour," Transport Policy, Elsevier, vol. 6(1), pages 19-33, January.
    12. Glerum, Aurélie & Atasoy, Bilge & Bierlaire, Michel, 2014. "Using semi-open questions to integrate perceptions in choice models," Journal of choice modelling, Elsevier, vol. 10(C), pages 11-33.
    13. Raveau, Sebastián & Yáñez, María Francisca & Ortúzar, Juan de Dios, 2012. "Practical and empirical identifiability of hybrid discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1374-1383.
    14. Lois, David & López-Sáez, Mercedes, 2009. "The relationship between instrumental, symbolic and affective factors as predictors of car use: A structural equation modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(9-10), pages 790-799, November.
    15. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    16. Hurtubia, Ricardo & Nguyen, My Hang & Glerum, Aurélie & Bierlaire, Michel, 2014. "Integrating psychometric indicators in latent class choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 135-146.
    17. Shen, Weiwei & Xiao, Weizhou & Wang, Xin, 2016. "Passenger satisfaction evaluation model for Urban rail transit: A structural equation modeling based on partial least squares," Transport Policy, Elsevier, vol. 46(C), pages 20-31.
    18. Guillaume Le Borgne & Lucie Sirieix & Sandrine Costa, 2015. "La sensibilité du consommateur au gaspillage alimentaire : proposition d’une échelle de mesure," Post-Print hal-01487360, HAL.
    19. Albert Maydeu-Olivares, 2001. "Limited information estimation and testing of Thurstonian models for paired comparison data under multiple judgment sampling," Psychometrika, Springer;The Psychometric Society, vol. 66(2), pages 209-227, June.
    20. Steg, Linda, 2005. "Car use: lust and must. Instrumental, symbolic and affective motives for car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 147-162.
    21. Anable, Jillian, 2005. "'Complacent Car Addicts' or 'Aspiring Environmentalists'? Identifying travel behaviour segments using attitude theory," Transport Policy, Elsevier, vol. 12(1), pages 65-78, January.
    22. Motoaki, Yutaka & Daziano, Ricardo A., 2015. "A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 217-230.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bouscasse, H., 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers 2018-07, Grenoble Applied Economics Laboratory (GAEL).
    2. Hélène Bouscasse, 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers hal-01795630, HAL.
    3. Timmer, Sebastian & Bösehans, Gustav & Henkel, Sven, 2023. "Behavioural norms or personal gains? – An empirical analysis of commuters‘ intention to switch to multimodal mobility behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    4. Gustav Bösehans & Ian Walker, 2020. "Do supra-modal traveller types exist? A travel behaviour market segmentation using Goal framing theory," Transportation, Springer, vol. 47(1), pages 243-273, February.
    5. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.
    6. Pronello, Cristina & Camusso, Cristian, 2011. "Travellers’ profiles definition using statistical multivariate analysis of attitudinal variables," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1294-1308.
    7. Kim, Seheon & Rasouli, Soora, 2022. "The influence of latent lifestyle on acceptance of Mobility-as-a-Service (MaaS): A hierarchical latent variable and latent class approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 304-319.
    8. De Vos, Jonas, 2018. "Do people travel with their preferred travel mode? Analysing the extent of travel mode dissonance and its effect on travel satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 261-274.
    9. Timothée Cuignet & Camille Perchoux & Geoffrey Caruso & Olivier Klein & Sylvain Klein & Basile Chaix & Yan Kestens & Philippe Gerber, 2020. "Mobility among older adults: Deconstructing the effects of motility and movement on wellbeing," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 383-401, February.
    10. Clauss, Thomas & Döppe, Sebastian, 2016. "Why do urban travelers select multimodal travel options: A repertory grid analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 93-116.
    11. Enaux, Christophe & Gerber, Philippe, 2014. "Beliefs about energy, a factor in daily ecological mobility?," Journal of Transport Geography, Elsevier, vol. 41(C), pages 154-162.
    12. Rico Krueger & Akshay Vij & Taha H. Rashidi, 2018. "Normative beliefs and modality styles: a latent class and latent variable model of travel behaviour," Transportation, Springer, vol. 45(3), pages 789-825, May.
    13. Zahra Zarabi & Philippe Gerber & Sébastien Lord, 2019. "Travel Satisfaction vs. Life Satisfaction: A Weighted Decision-Making Approach," Sustainability, MDPI, vol. 11(19), pages 1-28, September.
    14. 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.
    15. Wolf, Ingo & Schröder, Tobias, 2019. "Connotative meanings of sustainable mobility: A segmentation approach using cultural sentiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 259-280.
    16. Wang, Yu & Wang, Yacan & Ettema, Dick & Mao, Zidan & Charlton, Samuel G. & Zhou, Huiyu, 2020. "Commuter value perceptions in peak avoidance behavior: An empirical study in the Beijing subway system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 70-84.
    17. Nielsen, Jesper Riber & Hovmøller, Harald & Blyth, Pascale-L. & Sovacool, Benjamin K., 2015. "Of “white crows” and “cash savers:” A qualitative study of travel behavior and perceptions of ridesharing in Denmark," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 113-123.
    18. Sascha von Behren & Lisa Bönisch & Ulrich Niklas & Bastian Chlond, 2020. "Revealing Motives for Car Use in Modern Cities—A Case Study from Berlin and San Francisco," Sustainability, MDPI, vol. 12(13), pages 1-18, June.
    19. Yazdanpanah, Mahdi & Hosseinlou, Mansour Hadji, 2016. "The influence of personality traits on airport public transport access mode choice: A hybrid latent class choice modeling approach," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 147-163.
    20. Santoso, Djoen San & Yajima, Masaru & Sakamoto, Kunihiro & Kubota, Hisashi, 2012. "Opportunities and strategies for increasing bus ridership in rural Japan: A case study of Hidaka City," Transport Policy, Elsevier, vol. 24(C), pages 320-329.

    More about this item

    Keywords

    STRUCTURAL EQUATION MODELING; LATENT VARIABLES; SOCIO-PSYCHOLOGICAL VARIABLES; MODE CHOICE HABITS; ENVIRONMENTAL CONCERN; PERCEPTION OF PUBLIC TRANSPORT; CAR USE; AFFECTIVE MOTIVES; SYMBOLIC MOTIVES;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gbl:wpaper:2016-05. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Adrien Hervouet (email available below). General contact details of provider: https://edirc.repec.org/data/inragfr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.