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Can digital technologies induce behavioral changes in transportation habits? Evidence based on User Experience with the SmartMoov Application
[Les technologies numériques peuvent-elles induire des changements comportementaux dans les habitudes de transport ? Quelques enseignements issus de l’expérience utilisateurs de l’application SmartMoov]

Author

Listed:
  • Thierry Blayac

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Mathias Reymond

    (MRE - Montpellier Recherche en Economie - UM - Université de Montpellier)

  • Maïté Stéphan

    (UR - Université de Rennes, CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract

This study aims to assess behavioral changes in transportation habits induced by real-time and multimodal information provided by a mobile application, SmartMoov. The users of the SmartMoov application (beta-testers) were registered on a voluntary basis. After 3 months of testing the mobile application in a living lab in Montpellier Méditerranée Métropole, we analyze beta-testers' feelings and changes in transportation behavior. Although the beta-testers represented a unique population segment, econometric modelling shows that they are sensitive to the information provided by the application and use it to modify their mobility behavior. They are more likely to change their route and departure time than their transportation mode. While the average travel time and the safety margin affect overall mobility changes (i.e., mode, route, and departure time), there are additional factors that influence changes in the route and departure time. Specifically, a gender effect is documented in the context of departure time choice

Suggested Citation

  • Thierry Blayac & Mathias Reymond & Maïté Stéphan, 2021. "Can digital technologies induce behavioral changes in transportation habits? Evidence based on User Experience with the SmartMoov Application [Les technologies numériques peuvent-elles induire des ," Post-Print hal-03163670, HAL.
    • Handle: RePEc:hal:journl:hal-03163670
    DOI: 10.4000/rei.9639
    as

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    Keywords

    Mobile application; Behavioral changes; Transportation habits; Living lab; Advanced traveler information system; Application smartphone; Changements de comportement; Habitudes de transport; Système avancé d'information aux voyageurs;
    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
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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