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<dc:title>Public transportation multimodality in the city of Lisbon</dc:title>
<dc:creator>Lemonde de Macedo, Carlos</dc:creator>
<dc:creator>Arsenio, Elisabete</dc:creator>
<dc:creator>Henriques, Rui</dc:creator>
<dc:subject>Planificación del transporte</dc:subject>
<dc:subject>Transporte público</dc:subject>
<dc:subject>Planning of transport</dc:subject>
<dc:subject>Public transport</dc:subject>
<dc:subject>Ingeniería civil</dc:subject>
<dc:subject>Transportes</dc:subject>
<dc:subject>Civil engineering</dc:subject>
<dc:subject>Transportation</dc:subject>
<dc:description>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</dc:description>
<dc:description>Mobility in major European capitals is not yet sustainable. The need to respond to the&#xd;
ongoing changes in public transportation demand, operationalize safety norms of social&#xd;
distancing, and reach carbon neutrality are prompting cities to reassess public transport&#xd;
systems. Cross-mode synergies in multimodal transport systems can be explored (including&#xd;
convenience, reliability, cost, speed and predictability) to foment public and active modes&#xd;
of mobility. In this context, multimodal traffic pattern analysis can unravel cross-mode&#xd;
vulnerabilities, a possibility that is finally rising with the sensorization of cities, integration&#xd;
of ticketing systems, and consolidation of traffic data sources and their situational context.&#xd;
This work introduces a methodology for the analysis of spatiotemporal indices of&#xd;
multimodality against available situational context, aiding specialists to find vulnerabilities&#xd;
on the public transportation network. Traffic generation poles, large-scale public events, and&#xd;
weather records are the considered sources of situational context. We discuss the role of&#xd;
context-aware multimodality indices to understand demand and its emerging changes, assess&#xd;
cross-modal transfers and preferences, and support cross-mode route and schedule planning.&#xd;
This work further discusses the relevance of multimodal pattern discovery to offer datacentric&#xd;
views ensuring: fully transparent decisions to the citizens; and an objective&#xd;
coordination between carriers, municipalities and authorities. Lisbon is further introduced in&#xd;
this work as a reference case study for context-aware multimodal mobility.</dc:description>
<dc:description>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).</dc:description>
<dc:date>2022-09-21T10:21:58Z</dc:date>
<dc:date>2022-09-21T10:21:58Z</dc:date>
<dc:date>2021-07</dc:date>
<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:identifier>978-84-18465-12-3</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/6978</dc:identifier>
<dc:identifier>10.36443/10259/6978</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>R-Evolucionando el transporte</dc:relation>
<dc:relation>http://hdl.handle.net/10259/6490</dc:relation>
<dc:relation>https://doi.org/10.36443/9788418465123</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/FCT//DSAIPA%2FDS%2F0111%2F2018</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/FCT//UIDB%2F50021%2F2020</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:format>application/pdf</dc:format>
<dc:publisher>Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional</dc:publisher>
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