Development of a Common Framework for Analysing Public Transport Smart Card Data
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Otros documentos de la autoría: Benito, Pedro J; Trilles, Sergio; Gutierrez, Aaron; Miravet, Daniel
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Título
Development of a Common Framework for Analysing Public Transport Smart Card DataFecha de publicación
2021-09-24Editor
MDPICita bibliográfica
ZARAGOZÍ, Benito, et al. Development of a Common Framework for Analysing Public Transport Smart Card Data. Energies, 2021, vol. 14, no 19, p. 6083.Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The data generated in public transport systems have proven to be of great importance in improving knowledge of public transport systems, being very valuable in promoting the sustainability of public transport through ... [+]
The data generated in public transport systems have proven to be of great importance in improving knowledge of public transport systems, being very valuable in promoting the sustainability of public transport through rational management. However, the analysis of this data involves numerous tasks, so that when the value of analysing the data is finally verified, the effort has already been very great. The management and analysis of the collected data face some difficulties. This is the case of the data collected by the current automated fare collection systems. These systems do not follow any open standards and are not usually designed with a multipurpose nature, so they do not facilitate the data analysis workflow (i.e., acquisition, storage, quality control, integration and quantitative analysis). Intending to reduce this workload, we propose a conceptual framework for analysing data from automated fare collection systems in mobility studies. The main components of this framework are (1) a simple data model, (2) scripts for creating and querying the database and (3) a system for reusing the most useful queries. This framework has been tested in a real public transport consortium in a Spanish region shaped by tourism. The outcomes of this research work could be reused and applied, with a lower initial effort, in other areas that have data recorded by an automated fare collection system but are not sure if it is worth investing in exploiting the data. After this experience, we consider that, even with the legal limitations applicable to the analysis of this type of data, the use of open standards by automated fare collection systems would facilitate the use of this type of data to its full potential. Meanwhile, the use of a common framework may be enough to start analysing the data. [-]
Publicado en
Energies 2021, 14(19)Entidad financiadora
Santander Bank | CRUE Universidades Españolas | Consejo Superior de Investigaciones Cienfíficas (CSIC) | Escola d’Administració Publica de Catalunya | Generalitat de Catalunya | Spanish Ministry for Science and Innovation, Juan de la Cierva fellowship programme
Código del proyecto o subvención
2018 EAPC 00002 | IJC2018-035017-I
Título del proyecto o subvención
Fondo Supera Covid-19 | COVMOVTUR-COVID-19 and mobilities in tourist regions: change of patterns and their effect on physical and mental health of residents and visitors
Derechos de acceso
© 2021 by the authors. Licensee MDPI, Basel, Switzerland
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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