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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

dc.contributor.authorArias Molinares, Daniela
dc.contributor.authorTalavera García, Rubén
dc.contributor.authorRomanillos Arroyo, Gustavo
dc.contributor.authorGarcía Palomares, Juan Carlos
dc.date.accessioned2025-01-09T04:54:53Z
dc.date.available2025-01-09T04:54:53Z
dc.date.issued2024
dc.descriptionCátedra Extraordinaria de Movilidad Ciclista UCM-EMT.
dc.description.abstractJourney 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.
dc.description.departmentDepto. de Geografía
dc.description.facultyFac. de Geografía e Historia
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationArias Molinares, D., Talavera-García, R., Romanillos-Arroyo, G., & García Palomares, J. C. (2024). 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. Journal of Transport and Land Use, 17(1), 351–368. https://doi.org/10.5198/jtlu.2024.2451
dc.identifier.doi10.5198/jtlu.2024.2451
dc.identifier.issn1938-7849
dc.identifier.officialurlhttps://www.jtlu.org/index.php/jtlu/article/view/2451
dc.identifier.urihttps://hdl.handle.net/20.500.14352/113366
dc.issue.number1
dc.journal.titleJournal of Transport and Land Use
dc.language.isoeng
dc.page.final368
dc.page.initial351
dc.publisherUniversity of Minnesota Center for Transportation Studies
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116656RB-I00/ES/EVALUACION, ANALISIS Y PREDICCION DE LOS CAMBIOS EN LA MOVILIDAD URBANA TRAS LA PANDEMIA A PARTIR DE BIG DATA GEOLOCALIZADO/
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject.keywordRoute map
dc.subject.keywordJourney planner
dc.subject.keywordMoped
dc.subject.keywordBike
dc.subject.keywordScooter
dc.subject.keywordMicromobility
dc.subject.ucmGeografía humana
dc.subject.ucmSistemas de información geográfica
dc.subject.unesco3329 Planificación Urbana
dc.titleOn the path to develop a micromobility journey planner for Madrid: A tool to estimate, visualize, and analyze cycling and other shared mobility services’ flow
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number17
dspace.entity.typePublication
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