How did COVID-19 affect tourism occupancy and prices? A spatiotemporal and economic analysis of Madrid and Valencia through Airbnb geospatial data
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Título: | How did COVID-19 affect tourism occupancy and prices? A spatiotemporal and economic analysis of Madrid and Valencia through Airbnb geospatial data |
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Autor/es: | Moreno-Izquierdo, Luis | Bernabeu-Bautista, Álvaro | Álvarez, Emiliano | Serrano-Estrada, Leticia |
Grupo/s de investigación o GITE: | Economía de la Innovación y de la Inteligencia Artificial (ECO-IA) | Urbanística y Ordenación del Territorio en el Espacio Litoral |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Análisis Económico Aplicado | Universidad de Alicante. Departamento de Edificación y Urbanismo |
Palabras clave: | COVID-19 | Airbnb | Geospatial data | Statistical analysis | Tourism dynamics | Spatiotemporal analysis |
Fecha de publicación: | 16-ago-2023 |
Editor: | Elsevier |
Cita bibliográfica: | International Journal of Applied Earth Observation and Geoinformation. 2023, 122: 103448. https://doi.org/10.1016/j.jag.2023.103448 |
Resumen: | The COVID-19 pandemic has had a significant impact on the tourism industry worldwide. This study aims to understand the early effects of the pandemic on tourist supply and demand by analysing Airbnb's occupancy rates and accommodation prices at both city and neighborhood/district scales in Madrid and Valencia, two Spanish destinations with distinct tourism types. By considering both spatial and statistical analyses at different scales, this study provides valuable insights into the short-term impacts of COVID-19 on the tourism industry in these destinations. The findings reveal a spatial polarisation, with certain areas maintaining higher occupancy rates and prices, suggesting resilience to the crisis, particularly those near green spaces. The analysis further highlights varied effects of the pandemic across different months and neighborhoods/districts. While historic center neighborhoods experienced declines in both occupancy rates and prices, districts with a stronger tourist tradition showed greater resilience. Price rigidity is observed in some urban areas, where occupancy rates decline while prices remain relatively stable or even increase. Two key recommendations are underscored for decision makers: (1) regulating Airbnb should consider neighborhood-specific characteristics and differentiate between types of tourism, establishing minimum standards for housing conditions and the surrounding environment and (2) touristic cities should aim for a polycentric spatial structure by expanding and diversifying tourist areas, avoiding concentration in a single location. |
Patrocinador/es: | This study has been carried out in the framework of the research project “Digital Transition and Innovation in the Labor Market and Mature Sectors. Taking Advantage of AI and Platform Economy (DILATO)”, with reference TED2021-129600A-I00 funded by MCIN/AEI /10.13039/501100011033 and by European Union NextGenerationEU/PRTR. This research has been also funded by Conselleria de Innovacion, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana, and the European Social Fund (ACIF/2020/173). |
URI: | http://hdl.handle.net/10045/136827 |
ISSN: | 1569-8432 (Print) | 1872-826X (Online) |
DOI: | 10.1016/j.jag.2023.103448 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1016/j.jag.2023.103448 |
Aparece en las colecciones: | INV - ECO-IA - Artículos de Revistas INV - UOTEL - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Moreno-Izquierdo_etal_2023_IntJApplEarthObservatGeoinf.pdf | 30,07 MB | Adobe PDF | Abrir Vista previa | |
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