Shared bikes vs. private e-scooters

Urban mobility has undergone a transformation with the advent of micromobility vehicles, leading to a multitude of studies investigating the factors that drive early adoption and the sustainability and equity implications. However, in a context where local administrations struggle regarding how to f...

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Detalles Bibliográficos
Autores: Roig Costa, Oriol|||0000-0003-4843-7028, Miralles-Guasch, Carme|||0000-0003-4821-9776, Marquet, Oriol|||0000-0002-7346-5664
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:286480
Acceso en línea:https://ddd.uab.cat/record/286480
https://dx.doi.org/urn:doi:10.1016/j.tranpol.2023.11.010
Access Level:acceso abierto
Palabra clave:Desplaçaments en bicicleta
Bicicletes elèctriques
Bike-sharing system
E-scooter
Logistic binary regression model
Modal choice
Mode replacement
Policy constrain
Sistemes de bicicleta compartida
Sistemas de bicicleta compartida
Bicing
Motocicletas eléctricas
Motocicletes elèctriques
Micro-mobilitat
Micro-microbilty
Micro-movilidad
Descripción
Sumario:Urban mobility has undergone a transformation with the advent of micromobility vehicles, leading to a multitude of studies investigating the factors that drive early adoption and the sustainability and equity implications. However, in a context where local administrations struggle regarding how to fit different micromobility systems within the urban ecosystem, little is understood about how political regulations impact micromobility users' modal choices This study aims to shed light on the differences between private e-scooters and shared bikes in Barcelona, a city where micromobility options face distinct regulatory frameworks, and also to understand the factors that influence an individual's choice between these two modes of micromobility. The study employs a self-reported intercept survey on 651 micromobility users and builds a logistic binary regression model to examine the characteristics that differentiate e-scooter and shared bike adopters. Results indicate notable differences between adopters of the two modes and suggest that city regulations might play a role in determining the choice of mode. Furthermore, the study finds that while both modes follow similar mode replacement paths, shared bikes have a higher potential to keep users away from cars. These findings contribute to the limited knowledge on the choice between different modes of micromobility and highlight the impact of policy design on diverse population groups. As more cities are banning free-floating from city centres, it is essential to understand how these selective bans and restrictive policies have an impact on micromobility users' modal choices.