Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1011912
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dc.contributor.authorArsénio, E.pt_BR
dc.contributor.authorSilva, S.pt_BR
dc.contributor.authorPereira, H.pt_BR
dc.contributor.authorDomingues, A.pt_BR
dc.date.accessioned2019-10-17T15:03:50Zpt_BR
dc.date.accessioned2019-10-25T10:41:24Z-
dc.date.available2019-10-17T15:03:50Zpt_BR
dc.date.available2019-10-25T10:41:24Z-
dc.date.issued2019-10-09pt_BR
dc.identifier.citationArsenio, E.; Silva, S.; Pereira, H. I.; Domingues, A. (2019). Asessing multimodal mobility trends using heterogeneous data sources: a case study for supporting sustainable mobility policy goals within the Algarve region, European Transport Conference 2019, Dublin: Republic of Ireland.pt_BR
dc.identifier.urihttp://repositorio.lnec.pt:8080/jspui/handle/123456789/1011912-
dc.description.abstractThis paper is built around a research project developed with the support of the Regional Planning Authority of the Algarve Region in Portugal which assessed mobility patterns covering all modes of transport using heterogeneous data sources (time-series data). Data mining techniques helped to identify limitations in some data sets. The econometric analysis showed that integrated autoregressive models and moving averages for series with seasonality were successful in the prediction of passenger flows using time-series data gathered by the regional authority from transport operators and other entities. Results from the analysis are useful to support a strategy to reverse current trends on continued car growth (along with public transport decrease) and to devise policy measures to enable a sustainable mobility path towards decarbonisation and social equity goals until 2030.pt_BR
dc.language.isoengpt_BR
dc.publisherElsevierpt_BR
dc.rightsrestrictedAccesspt_BR
dc.subjectSustainable mobilitypt_BR
dc.subjectPassenger flow prediction modelspt_BR
dc.subjectTrend analysispt_BR
dc.subjectMultimodal mobilitypt_BR
dc.subjectDecarbonisationpt_BR
dc.subjectBig datapt_BR
dc.titleAsessing multimodal mobility trends using heterogeneous data sources: a case study for supporting sustainable mobility policy goals within the Algarve regionpt_BR
dc.typeworkingPaperpt_BR
dc.description.pages12ppt_BR
dc.description.commentsO artigo foi apresentado pela 1ª autora na sessão 3 da Conferência Europeia de Transportes em Dublin, no dia 9 de outubro de 2019. Será publicado na Transportation Research Procedia da Elsevier. O trabalho insere-se na linha de investigação "Mobilidade sustentável, transportes e novos serviços de mobilidade urbana de baixo carbono" (L31) do plano de ID&I 2013-2020 do Departamento de Transportes.pt_BR
dc.identifier.localDublinpt_BR
dc.description.sectorDT/NPTSpt_BR
dc.identifier.conftitleEuropean Transport Conference 2019 (ETC 2019)pt_BR
dc.contributor.peer-reviewedSIMpt_BR
dc.contributor.academicresearchersSIMpt_BR
dc.contributor.arquivoNAOpt_BR
Appears in Collections:DT/NPTS - Comunicações a congressos e artigos de revista

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