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

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Title: Understanding multimodal mobility patterns of micromobility users in urban environments: insights from Barcelona.
Authors: Roig-Costa, Oriol1 (AUTHOR) oriol.roig@uab.cat, Marquet, Oriol1 (AUTHOR) oriol.marquet@uab.cat, Arranz-López, Aldo2,3 (AUTHOR) aarranz@zlc.edu.es, Miralles-Guasch, Carme1 (AUTHOR) carme.miralles@uab.cat, Van Acker, Veronique3 (AUTHOR) veronique.vanacker@liser.lu
Source: Transportation. Jun2026, Vol. 53 Issue 3, p1335-1363. 29p.
Subjects: Bicycle sharing programs, Choice of transportation, Cities & towns, Public transit, Motor scooters, Passenger traffic
Geographic Terms: Spain, Barcelona (Spain)
Abstract: Micromobility, 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. [ABSTRACT FROM AUTHOR]
Copyright of Transportation is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Understanding multimodal mobility patterns of micromobility users in urban environments: insights from Barcelona.
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  Label: Abstract
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  Data: Micromobility, 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Transportation is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11116-024-10531-3
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        Text: English
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        Type: general
      – SubjectFull: Choice of transportation
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      – SubjectFull: Cities & towns
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      – SubjectFull: Public transit
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      – SubjectFull: Motor scooters
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      – SubjectFull: Passenger traffic
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      – SubjectFull: Spain
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      – SubjectFull: Barcelona (Spain)
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              M: 06
              Text: Jun2026
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