Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1011912
Title: Asessing multimodal mobility trends using heterogeneous data sources: a case study for supporting sustainable mobility policy goals within the Algarve region
Authors: Arsénio, E.
Silva, S.
Pereira, H.
Domingues, A.
Keywords: Sustainable mobility;Passenger flow prediction models;Trend analysis;Multimodal mobility;Decarbonisation;Big data
Issue Date: 9-Oct-2019
Publisher: Elsevier
Citation: Arsenio, 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.
Abstract: This 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.
URI: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1011912
Appears in Collections:DT/NPTS - Comunicações a congressos e artigos de revista

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.