Author, as appears in the article.: Zaragozí B; Gutiérrez A; Delclòs-Alió X; Miravet D
Department: Economia
URV's Author/s: Gutiérrez Palomero, Aaron / Miravet Arnau, Daniel / Zaragozí Zaragozí, Benito Manuel
Keywords: Sustainable mobility Smart card data Public bus Covid-19 Automated fare collection
Abstract: The COVID-19 pandemic has had a dramatic impact on the demand of public transport systems. Nevertheless, the global decrease and recovery of users has been uneven both in time and space. It is important to understand the extent of the unequal resilience of service areas with different characteristics. The objective of this study is to map the patterns of variations in the use of public bus at different scales, urban and regional. The data used were collected by an Automated Fare Collection system based on the use of smart travel cards in the Camp de Tarragona region (Southern Catalonia, Spain). Our approach has the potential to be applied in multiscale studies in other areas with similar data sources. This study also illustrates the potential that data generated by Automated Fare Collection systems have for a better understanding of uneven spatial and temporal patterns of public bus ridership during crises such as a pandemic.
Thematic Areas: Interdisciplinar Geography, planning and development Geography, physical Geography Geografia i urbanisme Geografía Geociências Earth and planetary sciences (miscellaneous) Ciencias sociales Antropologia / arqueologia
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: daniel.miravet@urv.cat aaron.gutierrez@urv.cat benito.zaragozi@urv.cat
Author identifier: 0000-0001-7830-5515 0000-0003-0557-6319 0000-0003-2501-484X
Record's date: 2024-08-03
Papper version: info:eu-repo/semantics/publishedVersion
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Journal Of Maps. 19 (1):
APA: Zaragozí B; Gutiérrez A; Delclòs-Alió X; Miravet D (2023). Exploring the public bus ridership loss and recovery during the COVID-19 pandemic: a spatiotemporal analysis using smart card data. Journal Of Maps, 19(1), -. DOI: 10.1080/17445647.2023.2231022
Entity: Universitat Rovira i Virgili
Journal publication year: 2023
Publication Type: Journal Publications
Repositori URV