2026-06-09T04:29:12Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/69782024-05-20T07:59:48Zcom_10259.4_104com_10259_2604col_10259_6848

Lemonde de Macedo, Carlos Arsenio, Elisabete Henriques, Rui 2022-09-21T10:21:58Z 2022-09-21T10:21:58Z 2021-07 978-84-18465-12-3 http://hdl.handle.net/10259/6978 10.36443/10259/6978 Trabajo 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 Burgos Mobility 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. The 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). application/pdf eng Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional R-Evolucionando el transporte http://hdl.handle.net/10259/6490 https://doi.org/10.36443/9788418465123 info:eu-repo/grantAgreement/FCT//DSAIPA%2FDS%2F0111%2F2018 info:eu-repo/grantAgreement/FCT//UIDB%2F50021%2F2020 Planificación del transporte Transporte público Planning of transport Public transport Ingeniería civil Transportes Civil engineering Transportation Public transportation multimodality in the city of Lisbon info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/openAccess 2321 2333