2026-06-09T04:28:48Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/69782024-05-20T07:59:48Zcom_10259.4_104com_10259_2604col_10259_6848
Lemonde de Macedo, Carlos
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Arsenio, Elisabete
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Henriques, Rui
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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
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oai:riubu.ubu.es:10259/6978
2024-05-20 09:59:48.538
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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