2026-06-27T23:51:33Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/1032982025-03-18T15:12:31Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense
author
Gutérrez Puebla
author
Condeço Melhorado, Ana Margarida
author
García Palomares, Juan Carlos
author
Gutiérrez Puebla, Javier
2024-04-22T08:17:28Z
2024-04-22T08:17:28Z
2024-04-18
10.1108/JHTT-04-2023-0103
https://hdl.handle.net/20.500.14352/103298
Purpose: The COVID-19 pandemic has significantly impacted global tourism, with international travel bearing the burden of restrictions. Domestic tourism has also faced substantial challenges. This paper analyses the impact of the COVID-19 pandemic on domestic tourism in Spain, focusing on travel from Madrid (the country's capital) to other tourist destinations.
Design/methodology/approach: Mobile phone data has been used to study the evolution of tourist trips over the summers of 2019, 2020 and 2021. Regression models are used to explain the number of visitors at destinations.
Findings: The pandemic not only caused a drastic drop in tourist flows, but also disrupted the overall pattern of the domestic flow system. Winning destinations were typically areas in proximity to Madrid and less densely populated destinations, while urban destinations were major losers. The preferences of domestic tourists varied notably by income group, but the decrease in trip volumes showed only marginal differences.
Originality/value: The paper demonstrates the potential of mobile phone data analysis to study the uneven impact of external shocks, such as the COVID-19 pandemic, on tourist destinations. This approach considers spatial resilience heterogeneity within regions or provinces. By incorporating income information, the analysis introduces a social dimension to highly detailed spatial data, surpassing traditional studies conducted at the regional or national levels.
eng
Attribution-NonCommercial-NoDerivatives 4.0 International
THE UNEVEN IMPACT OF THE COVID-19 PANDEMIC ON DOMESTIC TOURIST FLOWS: WHAT DOES MOBILE PHONE DATA TELL US?
journal article
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URL
https://docta.ucm.es/bitstreams/3800ccbb-2b99-4622-ae6e-d8c568b85c68/download
File
MD5
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application/pdf
JHTT-04-2023-0103-VAccepted.pdf
URL
https://docta.ucm.es/bitstreams/28923d12-c905-4c8a-a4d0-e614a4b013a5/download
File
MD5
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text/plain
JHTT-04-2023-0103-VAccepted.pdf.txt