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Applying Behavior Change Theory to Predict Travel Behavior of University Commuters

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Abstract

Selecting the right alternatives to an existing travel mode for commuting to a major trip generator at the center of a metropolitan area is often a complex project. In this chapter, the Aristotle University of Thessaloniki, Greece is the major trip generator in a study that compares the predictions of two approaches, both of which use discrete choice modeling, regarding the number of commuters who are willing to change travel mode if the right alterative is offered to them. The first is the conventional approach that, using travel cost and travel time as the main travel mode choice determinants, is applied to a selected (aggregate) sample of the commuter population. The second approach uses the same determinants but stratifies the sample into four strata according to the behavioral change stage to which the commuters belong. The model results indicate that the predicted travel mode choice behavior differs significantly among the persons in the sample depending on which behavioral change stage they are in. This study suggests that transport policy makers might better devise targeted interventions to maximize the positive socioeconomic and environmental impacts of travel mode alternatives.

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Authors and Affiliations

  1. Department of Civil Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Panagiotis Papaioannou & Ioannis Politis

Authors
  1. Panagiotis Papaioannou
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  2. Ioannis Politis
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Correspondence to Panagiotis Papaioannou .

Editor information

Editors and Affiliations

  1. Department of Geography, University of the Aegean, Mytilini, Lesvos, Greece

    Helen Briassoulis

  2. Department of Geography, University of the Aegean, Mytilini, Lesvos, Greece

    Dimitris Kavroudakis

  3. Department of Geography, University of the Aegean, Mytilini, Lesvos, Greece

    Nikolaos Soulakellis

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Papaioannou, P., Politis, I. (2019). Applying Behavior Change Theory to Predict Travel Behavior of University Commuters. In: Briassoulis, H., Kavroudakis, D., Soulakellis, N. (eds) The Practice of Spatial Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-89806-3_11

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