Author, as appears in the article.: Zaragozi, Benito; Gutierrez, Aaron; Trilles, Sergio;
Department: Geografia
URV's Author/s: Gutiérrez Palomero, Aaron / Zaragozí Zaragozí, Benito Manuel
Keywords: Smart card data Public transportation Medium-sized data File naming convention Domain-specific language Card 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.
Research group: GRATET. Anàlisi Territorial i Estudis Turístics
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: benito.zaragozi@urv.cat aaron.gutierrez@urv.cat
Author identifier: 0000-0003-2501-484X 0000-0003-0557-6319
Record's date: 2023-11-18
Papper version: info:eu-repo/semantics/publishedVersion
Papper original source: Proceedings Of The 6th International Conference On Geographical Information Systems Theory, Applications And Management (Gistam). 302-309
APA: Zaragozi, Benito; Gutierrez, Aaron; Trilles, Sergio; (2020). Towards an Affordable GIS for Analysing Public Transport Mobility Data: A Preliminary File Naming Convention for Avoiding Duplication of Efforts.
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Entity: Universitat Rovira i Virgili
Journal publication year: 2020
Publication Type: Proceedings Paper
Repositori URV