Impacts of COVID-19 on Food, Aviation, and Accommodation in Europe

Chen Shijing (), Chen Yuheng, Chen Ziyan, Gong Manlin, Lai Zijun, Lin Dazheng and Li Hongtao
Additional contact information
Chen Shijing: Nanyang Technological University
Chen Yuheng: Nanyang Technological University
Chen Ziyan: Nanyang Technological University
Gong Manlin: Nanyang Technological University
Lai Zijun: Nanyang Technological University
Lin Dazheng: Nanyang Technological University
Li Hongtao: Nanyang Technological University

A chapter in Tourism Analytics Before and After COVID-19, 2023, pp 37-46 from Springer

Abstract: Abstract The impact of COVID-19 on tourism industry is enormous. The proposed recovery will be a long process and driven by the radical measures in different countries on domestic and foreign travel. At the same time, the impacts of COVID-19 vary according to different countries located at different geographical locations. Therefore, the measure of its impact should be assessed independently for different regions to facilitate the strategic planning on recovery. In this work, we focus on studying the impacts on Europe and the United Kingdom. This work aims at quantifying the impact of the COVID-19 pandemic on the tourism industry in Europe and the United Kingdom by predicting recovery using deep learning Long Short-Term Memory (LSTM) models in the scenario where the COVID-19 did not happen and comparing it with the actual performance of tourism industry in Europe and the United Kingdom in 2020. In this work, we mainly focus on three main components in tourism industry: aviation, hotels, and restaurant.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-9369-5_3

Ordering information: This item can be ordered from
http://www.springer.com/9789811993695

DOI: 10.1007/978-981-19-9369-5_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().