Autor según el artículo: Zaragozí B; Gutiérrez A; Delclòs-Alió X; Miravet D

Departamento: Economia

Autor/es de la URV: Gutiérrez Palomero, Aaron / Miravet Arnau, Daniel / Zaragozí Zaragozí, Benito Manuel

Palabras clave: Automated fare collection Covid-19 Public bus Smart card data Sustainable mobility

Resumen: 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.

Áreas temáticas: Antropologia / arqueologia Ciencias sociales Earth and planetary sciences (miscellaneous) Geociências Geografía Geografia i urbanisme Geography Geography, physical Geography, planning and development Interdisciplinar

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

Direcció de correo del autor: aaron.gutierrez@urv.cat benito.zaragozi@urv.cat daniel.miravet@urv.cat

Identificador del autor: 0000-0003-0557-6319 0000-0003-2501-484X 0000-0001-7830-5515

Fecha de alta del registro: 2023-07-31

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Referencia al articulo segun fuente origial: Journal Of Maps. 19 (1):

Referencia de l'ítem segons les normes 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

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

DOI del artículo: 10.1080/17445647.2023.2231022

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2023

Tipo de publicación: Journal Publications