Exploring micromobility services: Characteristics of station-based bike-sharing users and their relationship with dockless services

Arias-Molinares, Daniela; Julio, Raky; Palomares, Juan Carlos García; Gutiérrez, Javier

doi:10.1016/j.urbmob.2021.100010

Cited by 13 publications

(4 citation statements)

References 14 publications

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“…On the contrary, during weekends people tend to travel longer distances (and hence higher travel time) when using mopeds and scooters. This use of other shared modes (mopeds and scooters) for longer distances supports what many experts point to when stating that these modes are preferred for leisure/recreation activities during weekends (Arias-Molinares et al, 2021;.…”

Section: Resultssupporting

confidence: 72%

On the path to develop a micromobility journey planner for Madrid: A tool to estimate, visualize, and analyze cycling and other shared mobility services’ flow

Arias Molinares,

Talavera-García,

Romanillos-Arroyo

et al. 2024

JTLU

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Journey planners could be one of the most relevant aspects to consider when choosing and deciding our daily trips. However, many of these trip apps still do not consider the new forms of mobility that are emerging in cities, also known as micromobility services (shared bikes, mopeds and scooters). In this study, we pursue two main objectives. On one hand, we create a journey planner for micromobility in Madrid. On the other hand, we use the journey planner to estimate and analyze micromobility flow considering the origin and destination points of trips registered in 2019 from the three different shared modes. Our results involve a series of maps that illustrate how micromobility flow is distributed in the city and the different dynamics considering two scenarios (weekdays and weekends). The journey planner helps to visualize those streets where micromobility flow concentrates, making micromobility users more visible and thus promoting that their paths become safer, attracting new users to start using micromobility (positive loop). Also, the maps could help policy planners to allocate new infrastructure in the city where it is needed most.

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Section: Resultssupporting

confidence: 72%

On the path to develop a micromobility journey planner for Madrid: A tool to estimate, visualize, and analyze cycling and other shared mobility services’ flow

Arias Molinares,

Talavera-García,

Romanillos-Arroyo

et al. 2024

JTLU

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“…Even in these examples the time requirements change based on the scale of geospatial regions and the context of the use cases. Specific use cases in which the multistep density prediction can be leveraged by urban and transport planning are the transportation demand analysis over time ( Verma et al, 2021 ), the sustainable mobility planning ( Singh et al, 2022 ) and the bike-sharing services ( Arias-Molinares et al, 2021 )…”

Section: Smart Citiesmentioning

confidence: 99%

Self-Attention based encoder-Decoder for multistep human density prediction

Violos

Θεοδωρόπουλος

Maroudis

et al. 2022

Journal of Urban Mobility

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“…Shared free-floating schemes have effectively increased the attractiveness of micromobility when other transport alternatives are not competitive (e.g., low public transport frequency) [22] or when private vehicles (e.g., cars) are not available [1]. In addition, the possibility to have a door-to-door experience with a shared e-scooter, which is added to the fact that this micro vehicle can be related to the convenience of quicker trips ending at the actual destination rather than nearby, as well as the fun aspect of the trip makes this mode of transport more attractive in cities [23]. However, the profile of the population that is exposed to shared e-scooter services highly influences the usage of this mode of transport, hence the understanding of the relationship between the usage of shared e-scooters and the sociodemographic characteristics of the population can be crucial to the establishment of this mode of transport [24].…”

Section: Introductionmentioning

confidence: 99%

Determinants of shared e-scooter usage and their policy implications. findings from a survey in Braga, Portugal

Dias,

Ribeiro,

Arsenio

2024

Eur. Transp. Res. Rev.

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Shared e-scooter systems have become an alternative for micromobility users in cities since 2017. The success of the shared e-scooter service can be related to the provision of more last-mile flexibility and convenience to users. They can also be seen as a replacement for private cars and on-demand ridesharing, especially in highly crowded urban environments. Therefore, the main objective of this research is to disclose the main characteristics that determine shared e-scooter usage and their policy implication in a medium-sized city in the North of Portugal. To meet this purpose, a survey was conducted, and statistical analyses were performed to correlate the sociodemographic characteristics of respondents with the willingness to use shared e-scooters. Results show that gender, origin of the trip, and the main mode of transport affect the usage of e-scooters, thus specific policies should be developed to decrease these inequalities. Special attention needs to be given to the creation and expansion of dedicated areas for e-scooter ridership, zoning, and some traffic calming measures to promote a safe, user-centric, and more pleasant environment for shared e-scooter riders.

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Exploring micromobility services: Characteristics of station-based bike-sharing users and their relationship with dockless services

Cited by 13 publications

References 14 publications

On the path to develop a micromobility journey planner for Madrid: A tool to estimate, visualize, and analyze cycling and other shared mobility services’ flow

On the path to develop a micromobility journey planner for Madrid: A tool to estimate, visualize, and analyze cycling and other shared mobility services’ flow

Self-Attention based encoder-Decoder for multistep human density prediction

Determinants of shared e-scooter usage and their policy implications. findings from a survey in Braga, Portugal

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