What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing

Authors

  • Cristian Consonni Data Science and Big Data Analytics, Eurecat - Centre Tecnòlogic de Catalunya
  • Silvia Basile Data Science and Big Data Analytics, Eurecat - Centre Tecnòlogic de Catalunya
  • Matteo Manca Data Science and Big Data Analytics, Eurecat - Centre Tecnòlogic de Catalunya
  • Ludovico Boratto Data Science and Big Data Analytics, Eurecat - Centre Tecnòlogic de Catalunya
  • André Freitas TIS.pt - Consultores em Transportes Inovação e Sistemas, S.A.
  • Tatiana Kovacikova Dept. of International Research Projects - ERAdiate+, University of Žilina
  • Ghadir Pourhashem Dept. of International Research Projects - ERAdiate+, University of Žilina
  • Yannick Cornet Dept. of International Research Projects - ERAdiate+, University of Žilina

Keywords:

Social media usage on mobile devices; location, human mobility, and behavior, Engagement, motivations, incentives, and gamification.

Abstract

Mobility and transport, by their nature, involve crowds and require the coordination of multiple stakeholders - such as policy-makers, planners, transport operators, and the travelers themselves. However, traditional approaches have been focused on time savings, proposing to users solutions that include the shortest or fastest paths. We argue that this approach towards travel time value is not centered on a traveler's perspective. To date, very few works have mined data from crowds of travelers to test the efficacy and efficiency of novel mobility paradigms. In this paper, we build upon a different paradigm of worthwhile time in which travelers can use their travel time for other activities; we present a new dataset, which contains data about travelers and their journeys, collected from a dedicated mobile application. Each trip contains multi-faceted information: from the transport mode, through its evaluation, to the positive and negative experience factors. To showcase this new dataset's potential, we also present a use case, which compares corresponding trip legs with different transport modes, studying experience factors that negatively impact users using cycling and public transport as alternatives to cars. We conclude by discussing other application domains and research opportunities enabled by the dataset.

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Published

2021-05-22

How to Cite

Consonni, C., Basile, S., Manca, M., Boratto, L., Freitas, A., Kovacikova, T., Pourhashem, G., & Cornet, Y. (2021). What’s Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. Proceedings of the International AAAI Conference on Web and Social Media, 15(1), 961-970. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/18119