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Towards an Affordable GIS for Analysing Public Transport Mobility Data: A Preliminary File Naming Convention for Avoiding Duplication of Efforts

Topics: Human Computer Interaction and Visualization; Land Management; Query Processing and Optimization; Spatial Information and Society; Spatial Information Management; Standardization and Interoperability; Storage, Indexing and Searching

Authors: Benito Zaragozí 1 ; Aaron Gutiérrez 1 and Sergio Trilles 2

Affiliations: 1 Departament de Geografia, Universitat Rovira i Virgili, C/Joanot Martorell, Vilaseca, Spain ; 2 Institute of New Imaging Technologies, Universitat Jaume I, Av. Vicente Sos Baynat s/n, Castellón de la Plana, Spain

ISBN: 978-989-758-425-1

Keyword(s): Smart Card Data, Public Transportation, Domain-specific Language, File Naming Convention, Medium-sized Data.

Abstract: Automated fare collection systems for public transport generate a large volume of information on the mobility of people in urban environments. New technologies associated with Big Data can facilitate the analysis of these data. However, the application of these technologies can be expensive and resource-demanding, especially in medium and small cities. This paper presents the case of the metropolitan transport authority of Tarragona, for which an affordable and extensible analysis system has been developed, based on relational databases and custom scripts. Among the technical problems that have had to be overcome, one of the first has been the unambiguous definition of the numerous queries required by mobility experts. For different reasons, mobility researchers request aggregate data queries from smart transport cards logs (e.g. providing a descriptive statement) and expect manageable tables to be analysed in a spreadsheet. To standardise the definition of queries, a domain-specific language as a file naming convention has been proposed with which database managers and mobility experts can communicate efficiently, avoiding confusion, duplication of efforts and other problems detected. The file naming convention has been applied as an early version within the defined use case to verify the viability of this idea. (More)

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Paper citation in several formats:
Zaragozí, B.; Gutiérrez, A. and Trilles, Sergio (2020). Towards an Affordable GIS for Analysing Public Transport Mobility Data: A Preliminary File Naming Convention for Avoiding Duplication of Efforts.In Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-425-1, pages 302-309. DOI: 10.5220/0009766303020309

@conference{gistam20,
author={Benito Zaragozí. and Aaron Gutiérrez. and Trilles, Sergio},
title={Towards an Affordable GIS for Analysing Public Transport Mobility Data: A Preliminary File Naming Convention for Avoiding Duplication of Efforts},
booktitle={Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2020},
pages={302-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009766303020309},
isbn={978-989-758-425-1},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Towards an Affordable GIS for Analysing Public Transport Mobility Data: A Preliminary File Naming Convention for Avoiding Duplication of Efforts
SN - 978-989-758-425-1
AU - Zaragozí, B.
AU - Gutiérrez, A.
AU - Trilles, Sergio
PY - 2020
SP - 302
EP - 309
DO - 10.5220/0009766303020309

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