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Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice

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Abstract

Values lie at the heart of an individual’s belief system, serving as prototypes from which attitudes and behaviors are subsequently manufactured. Attitudes and behaviors may evolve over time, but values represent a set of more enduring beliefs. This study examines the influence of values on travel mode choice behavior. It is argued that personal values influence individual attitudes towards different alternative attributes, which in turn impact modal choices. Using data from a sample of 519 German commuters drawn from a consumer panel, the study estimates an integrated choice and latent variable model of travel mode choice that allows for hierarchical relationships between the latent variables and flexible substitution patterns across the modal alternatives. Results from the empirical application support the value-attitude-behavior hierarchical model of cognition, and provide insights to planners and policy-makers on how better to sell public transit as a means of travel.

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Notes

  1. Throughout the paper, the word ‘hierarchical’ is not used in the Bayesian sense of the word.

  2. The scale of the latent variable could alternatively be fixed by constraining the diagonal elements of \({\varvec{\Upsigma}}_{{\varvec{\eta}}}\) and \({\varvec{\Upsigma}}_{\varvec\sigma }\), as mentioned in Daziano and Bolduc (2013). However, the two ways are statistically equivalent, and it is usually left to the analyst to choose whichever form is more convenient.

  3. Since latent variables can be both negative and positive, a 10 % improvement in the latent variable is simulated by adding 10 % of the absolute value to the same. In other words, if \({\text{x}}\) and \({\text{x}}^{'}\) denote the original and the new value of the latent variable, respectively, then \({\text{x}}^{'} = {\text{x}} + 0.1\left| {\text{x}} \right|\).

References

  • Abou-Zeid, M., Ben-Akiva, M.: Travel mode switching: comparison of findings from two public transportation experiments. Transp. Policy 24, 48–59 (2012)

    Article  Google Scholar 

  • Anable, J.: ‘Complacent car addicts’ or ‘aspiring environmentalists’? Identifying travel behaviour segments using attitude theory. Transp. Policy 12(1), 65–78 (2005)

    Article  Google Scholar 

  • Ashok, K., Dillon, W.R., Yuan, S.: Extending discrete choice models to incorporate attitudinal and other latent variables. J. Mark. Res. 39(1), 31–46 (2002)

    Article  Google Scholar 

  • Azjen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. 50(2), 179–211 (1991)

    Article  Google Scholar 

  • Bamberg, S.: General or specific attitudes as predictors of environmentally friendly behavior? Zeitschrift für Sozialpsychologie 27(1), 47–60 (1996). (in German)

    Google Scholar 

  • Bamberg, S., Ajzen, I., Schmidt, P.: Choice of travel mode in the theory of planned behavior: the roles of past behavior, habit, and reasoned action. Basic Appl. Soc. Psychol. 25(3), 175–187 (2003)

    Article  Google Scholar 

  • Ben-Akiva, M., Walker, J., Bernardino, A.T., Gopinath, D.A., Morikawa, T., Polydoropoulou, A.: Integration of choice and latent variable models. In: Mahmassani, H.S. (ed.) In perpetual motion: travel behaviour research opportunities and application challenges, pp. 431–470. Elsevier, Amsterdam (2002)

    Google Scholar 

  • Bierlaire M (2003) BIOGEME: a free package for the estimation of discrete choice models. Proceedings of the 3rd Swiss Transportation Research Conference, Ascona, Switzerland

  • Bolduc, D., Ben-Akiva, M., Walker, J., Michaud, A.: Hybrid choice models with logit kernel: Applicability to large scale models. In: Lee-Gosselin, M., Doherty, S.T. (eds.) Integrated land-use and transportation models, pp. 275–302. Elsevier, Amsterdam (2005)

    Google Scholar 

  • Choo, S., Mokhtarian, P.L.: What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice. Transp. Res. Part A 38(3), 201–222 (2004)

    Google Scholar 

  • Daziano, R.A., Bolduc, D.: Covariance, identification, and finite-sample performance of the MSL and Bayes estimators of a logit model with latent attributes. Transportation 40(3), 647–670 (2013)

    Article  Google Scholar 

  • Ewing, R., Bartholomew, K., Winkelman, S., Walters, J., Chen, D.: Growing cooler: evidence on urban development and climate change. Urban Land Institute, Washington, DC (2008)

    Google Scholar 

  • Feather, N.T.: Bridging the gap between values and actions: Recent applications of the expectancy ± value model. In: Higgins, E.T., Sorrentino, R.M. (eds.) Handbook of motivation and cognition, vol. 2, pp. 151–192. Guilford Press, New York (1990)

    Google Scholar 

  • Fujii, S., Kitamura, R.: What does a one-month free bus ticket do to habitual drivers? An experimental analysis of habit and attitude change. Transportation 30(1), 81–95 (2003)

    Article  Google Scholar 

  • Gatersleben, B., Uzzell, D.: Affective appraisals of the daily commute: comparing perceptions of drivers, cyclists, walkers, and users of public transport. Environ. Behav. 39(3), 416–431 (2007)

    Article  Google Scholar 

  • Hagman, O.: Mobilizing meanings of mobility: car users’ constructions of the goods and bads of car use. Transp. Res. Part D 8(1), 1–9 (2003)

    Article  Google Scholar 

  • Homer, P.M., Kahle, L.R.: A structural equation test of the value-attitude-behavior hierarchy. J. Pers. Soc. Psychol. 54(4), 638–646 (1988)

    Article  Google Scholar 

  • Jensen, M.: Passion and heart in transport—a sociological analysis on transport behaviour. Transp. Policy 6(1), 19–33 (1999)

    Article  Google Scholar 

  • Kassarjian, H.H., Sheffet, M.J.: Personality and consumer behavior: An update. In: Kassarjian, H.H., Robertson, T.S. (eds.) Handbook of consumer behavior, pp. 281–301. Prentice-Hall, New Jersey (1991)

    Google Scholar 

  • Kluckhohn, C.: Values and value orientations in the theory of action: An exploration in definition and classification. In: Parsons, T., Shills, E. (eds.) Toward a general theory of action, pp. 388–433. Harvard University Press, Cambridge (1951)

    Google Scholar 

  • Kristiansen, C.M., Hotte, A.M.: Morality and the self: Implications for when and how of value-attitude behavior relations. In: Seligman, C., Olson, J.M., Zanna, M.P. (eds.) The Ontario Symposium, vol. 8, pp. 77–106. The psychology of valuesLawrence Erlbaum, Hillsdale (1996)

    Google Scholar 

  • Kuppam, A.R., Pendyala, R.M., Rahman, S.: Analysis of the role of traveler attitudes and perceptions in explaining mode-choice behavior. Transp. Res. Rec. 1676, 68–76 (1999)

    Article  Google Scholar 

  • Lanzendorf, M.: Mobility styles and behaviour—application of a lifestyle approach to leisure travel. Transp. Res. Rec. 1807, 163–173 (2002)

    Article  Google Scholar 

  • McCarty, J.A., Shrum, L.J.: The recycling of solid wastes: Personal values, value orientations, and attitudes about recycling as antecedents of recycling behavior. J. Bus. Res. 30, 53–62 (1994)

    Google Scholar 

  • McFadden, D.L.: The choice theory approach to marketing research. Mark. Sci. 5(4), 275–297 (1986)

    Article  Google Scholar 

  • McFadden, D., Train, K.: Mixed MNL models of discrete response. J. Appl. Econ. 15, 447–470 (2000)

    Article  Google Scholar 

  • Morikawa, T., Ben-Akiva, M., McFadden, D.L.: Discrete choice models incorporating revealed preferences and psychometric data. In: Franses, P.H., Montgomery, A.L. (eds.) Econometric models in marketing, pp. 29–55. Elsevier, Amsterdam (2002)

    Google Scholar 

  • Páez, A., Whalen, K.: Enjoyment of commute: a comparison of different transportation modes. Transp. Res. Part A 44(7), 537–549 (2010)

    Google Scholar 

  • Prince-Gibson, E., Schwartz, S.H.: Value priorities and gender. Soc. Psychol. Q. 61(1), 49–67 (1998)

    Article  Google Scholar 

  • Rokeach, M.: The nature of human values. Free Press, New York (1973)

    Google Scholar 

  • Schafer, A., Heywood, J.B., Jacoby, H.D., Waitz, I.A.: Transportation in a climate constrained world. MIT Press, Cambridge (2009)

    Google Scholar 

  • Schwartz, S.H., Bilsky, W.: Toward a theory of the universal content and structure of values: extensions and cross-cultural replications. J. Pers. Soc. Psychol. 58(5), 878–891 (1990)

    Article  Google Scholar 

  • Schwartz, S.H.: Universals in the content and structure of values: Theoretical advances and empirical tests in 20 countries. In: Zanna, M.P. (ed.) Advances in experimental social psychology, vol. 25, pp. 1–66. Academic Press, San Diego (1992)

    Google Scholar 

  • Schwartz, S.H., Melech, G., Lehmann, A., Burgess, S., Harris, M., Owens, V.: Extending the cross-cultural validity of the theory of basic human values with a different method of measurement. J. Cross Cult. Psychol. 32(5), 519–542 (2001)

    Article  Google Scholar 

  • Schwartz SH (2003) A proposal for measuring value orientations across nations. In: The questionnaire development package of the European Social Survey, Chapter 7. European Social Survey, pp 259–319

  • Schwartz, S.H., Rubel, T.: Sex differences in value priorities: cross-cultural and multi-method studies. J. Pers. Soc. Psychol. 89(6), 1010–1028 (2005)

    Article  Google Scholar 

  • Sperling, D., Gordon, D.: Two billion cars: driving towards sustainability. Oxford University Press, Oxford (2009)

    Google Scholar 

  • Steg, L.: Car use: lust and must. Instrumental, symbolic and affective motives for car use. Transp. Res. Part A 39(2–3), 147–162 (2005)

    Google Scholar 

  • Temme, D., Paulssen, M., Dannewald, T.: Incorporating latent variables into discrete choice models—a simultaneous estimation approach using SEM software. BuR 1(2), 220–237 (2008)

    Google Scholar 

  • Train, K.E.: Discrete choice methods with simulation. Cambridge University Press, Cambridge (2009)

  • Triandis, H.C.: Interpersonal behaviour. Brooks/Cole, Monterey (1977)

    Google Scholar 

  • Tudela A, Habib KMN, Carrasco JA, Osman AO (2011) Incorporating the explicit role of psychological factors on mode choice: A hybrid mode choice model by using data from an innovative psychometric survey. Second International Choice Modeling Conference, July 2011, Leeds

  • Verplanken, B., Walker, I., Davis, A., Jurasek, M.: Context change and travel mode choice: combining the habit discontinuity and self-activation hypotheses. J. Environ. Psychol. 28(2), 121–127 (2008)

    Article  Google Scholar 

  • Vredin Johansson, M., Heldt, T., Johansson, P.: The effects of attitudes and personality traits on mode choice. Transp. Res. Part A 40(6), 507–525 (2006)

    Google Scholar 

  • Walker, J.L., Ben-Akiva, M.: Generalized random utility model. Math. Soc. Sci. 43(3), 303–343 (2002)

    Article  Google Scholar 

  • Williams, R.M.J.: Change and stability in values and value systems: a sociological perspective. In: Rokeach, M. (ed.) Understanding human values: individual and societal, pp. 15–46. Free Press, New York (1979)

    Google Scholar 

  • Yañez, M.F., Raveau, S., de Ortúzar, J.D.: Inclusion of latent variables in mixed logit models: modelling and forecasting. Transp. Res. Part A 44(9), 744–753 (2010)

    Google Scholar 

  • Zhao J (2009) Preference accommodating and preference shaping: incorporating traveler preferences into transportation planning. Dissertation, Massachusetts Institute of Technology

Download references

Acknowledgments

We wish to thank Patricia Mokhtarian and three anonymous referees for their constructive comments and criticism that greatly helped us improve the presentation of our work. We would also like to thank the National Science Foundation for providing funding support for the research.

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Authors and Affiliations

  1. HEC Hautes Etudes Commerciales, Université de Genève, Geneva, Switzerland

    Marcel Paulssen

  2. Schumpeter School of Business and Economics, Bergische Universität Wuppertal, Wuppertal, Germany

    Dirk Temme

  3. University of California at Berkeley, 116 McLaughlin Hall, Berkeley, CA, 94720-1720, USA

    Akshay Vij

  4. University of California at Berkeley, 111 McLaughlin Hall, Berkeley, CA, 94720-1720, USA

    Joan L. Walker

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  1. Marcel Paulssen
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  2. Dirk Temme
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Correspondence to Marcel Paulssen.

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Paulssen, M., Temme, D., Vij, A. et al. Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice. Transportation 41, 873–888 (2014). https://doi.org/10.1007/s11116-013-9504-3

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