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dc.contributor.authorLemonde de Macedo, Carlos
dc.contributor.authorArsenio, Elisabete
dc.contributor.authorHenriques, Rui
dc.date.accessioned2022-09-21T10:21:58Z
dc.date.available2022-09-21T10:21:58Z
dc.date.issued2021-07
dc.identifier.isbn978-84-18465-12-3
dc.identifier.urihttp://hdl.handle.net/10259/6978
dc.descriptionTrabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgoses
dc.description.abstractMobility in major European capitals is not yet sustainable. The need to respond to the ongoing changes in public transportation demand, operationalize safety norms of social distancing, and reach carbon neutrality are prompting cities to reassess public transport systems. Cross-mode synergies in multimodal transport systems can be explored (including convenience, reliability, cost, speed and predictability) to foment public and active modes of mobility. In this context, multimodal traffic pattern analysis can unravel cross-mode vulnerabilities, a possibility that is finally rising with the sensorization of cities, integration of ticketing systems, and consolidation of traffic data sources and their situational context. This work introduces a methodology for the analysis of spatiotemporal indices of multimodality against available situational context, aiding specialists to find vulnerabilities on the public transportation network. Traffic generation poles, large-scale public events, and weather records are the considered sources of situational context. We discuss the role of context-aware multimodality indices to understand demand and its emerging changes, assess cross-modal transfers and preferences, and support cross-mode route and schedule planning. This work further discusses the relevance of multimodal pattern discovery to offer datacentric views ensuring: fully transparent decisions to the citizens; and an objective coordination between carriers, municipalities and authorities. Lisbon is further introduced in this work as a reference case study for context-aware multimodal mobility.en
dc.description.sponsorshipThe authors thank CARRIS, METRO and Câmara Municipal de Lisboa (Gabinete de Mobilidade and Centro de Operações Integrado) for the data provision, support and valuable feedback. This work was further supported by Fundação para a Ciência e Tecnologia under project ILU (DSAIPA/DS/0111/2018) and INESC-ID pluriannual (UIDB/50021/2020).en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherUniversidad de Burgos. Servicio de Publicaciones e Imagen Institucionales
dc.relation.ispartofR-Evolucionando el transportees
dc.relation.urihttp://hdl.handle.net/10259/6490
dc.subjectPlanificación del transportees
dc.subjectPlanning of transporten
dc.subjectTransporte públicoes
dc.subjectPublic transporten
dc.subject.otherIngeniería civiles
dc.subject.otherCivil engineeringen
dc.subject.otherTransporteses
dc.subject.otherTransportationen
dc.titlePublic transportation multimodality in the city of Lisbonen
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.36443/9788418465123es
dc.identifier.doi10.36443/10259/6978
dc.relation.projectIDinfo:eu-repo/grantAgreement/FCT//DSAIPA%2FDS%2F0111%2F2018
dc.relation.projectIDinfo:eu-repo/grantAgreement/FCT//UIDB%2F50021%2F2020
dc.page.initial2321es
dc.page.final2333es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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