Integrating Carpooling in Mobility-as-a-Service Platforms: Learnings from Co-design Activities

Abstract

This paper introduces a mobility platform aimed at reducing individual car use by combining the car flexibility and comfort with the advantages by public transport, such as punctuality, safety and lower environmental impact. The platform, named SocialCar, delivers its services by means of a smartphone app, which performs multi-modal vehicle routing by accounting for walking, public transport and car-pooling rides. SocialCar was developed within a Horizon2020 project and was field tested in four European sites, engaging common citizens and their everyday mobility needs. In this paper we first present the app and the field test of the SocialCar platform we run in Southern Switzerland. We then discuss the outcomes of the field test, by presenting the challenges to be addressed when using real-life data (shortcomings in mapping, public transport and car-pooling data) and summarizing the strengths and weaknesses with respect to the potential large-scale diffusion of the SocialCar platform.

Public transportCar-poolingMulti-modal routing algorithmsArtificial intelligenceField test

BibTeX

    @article{Cellina2025,
    title = {Integrating Carpooling in Mobility-as-a-Service Platforms: Learnings from Co-design Activities},
    url = {https://www.academia.edu/download/85541253/TRA2020_30052019_Cellina_et_al.pdf},
    booktitle = {Proceedings of 8th Transport Research Arena TRA 2020, April 27-30, 2020, Helsinki, Finland},
    author = {Cellina, Francesca and Derboni, Marco and Kovacs, Nikolett and Rizzoli, Andrea Emilio and Cartolano, Fabio},
    year = {2020},
    month = {Apr}
    }