AbstractMicromobility, which includes bicycle-sharing systems, e-scooters, and shared moped-style scooters, has emerged as a popular alternative to traditional transport modes in urban environments, thus expanding the number of transportation options available to urban travellers. Previous research has primarily relied on trip-based data to explore the multimodal character of micromobility. However, existing evidence has failed to understand the ways in which urban travellers have reshaped their mobility patterns as a consequence of the introduction of micromobility. Using a travel survey (N = 902) set in Barcelona, Spain, cluster techniques are used to group micromobility users according to their frequency of use of three different micromobility modes (bicycle-sharing systems, private e-scooter, and moped-style scooter-sharing services). Then, a multinomial logistic regression was used, in order to explore each cluster’s usage of traditional modes of transport, along with all potential weekly combinations between modes. Results show that most micromobility users rely on a single type of micromobility mode on a weekly basis. The model further indicates that private e-scooter, shared bicycle, and shared moped-style scooter users develop different weekly mobility combination patterns. While personal micromobility options (private e-scooter) are associated with monomodal tendencies, sharing services (bicycle sharing and moped-style scooter sharing) encourage multimodal behaviours. These findings contribute to the limited knowledge concerning the role of some micromobility alternatives in creating more rational and less habit-dependent travel behaviour choices.


    Access

    Download


    Export, share and cite



    Title :

    Understanding multimodal mobility patterns of micromobility users in urban environments: insights from Barcelona


    Additional title:

    Transportation



    Published in:

    Publication date :

    2024-08-23




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Uncovering Micromobility Patterns in Non-Urban Landscapes: Insights from the MORE Sharing System

    Pobudzei, Maryna / Huemer, Anja Katharina / Hoffmann, Silja | IEEE | 2024


    Micromobility and Urban Planning

    Aydın, Gizem Erdoğan | Springer Verlag | 2025


    Workshop on Smart Urban Micromobility

    Schneeberger, Tanja / Schaffer, Stefan / Dimitra, Tsovaltzi et al. | DataCite | 2023


    MICROMOBILITY AND METHOD FOR CONTROLLING MICROMOBILITY

    SAKURAGI TOMOKI / MORIBAYASHI TAKESHI / SAKURADA TAKEHIRO et al. | European Patent Office | 2024

    Free access

    Safe micromobility

    OECD, International Transport Forum | TIBKAT | 2020