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

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). I...

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Detalles Bibliográficos
Autores: Arias Molinares, Daniela, Talavera García, Rubén, Romanillos Arroyo, Gustavo, García Palomares, Juan Carlos
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/113366
Acceso en línea:https://hdl.handle.net/20.500.14352/113366
Access Level:acceso abierto
Palabra clave:Route map
Journey planner
Moped
Bike
Scooter
Micromobility
Geografía humana
Sistemas de información geográfica
3329 Planificación Urbana
Descripción
Sumario: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.