Google and Apple mobility data as predictors for European tourism during the COVID-19 pandemic : a neural network approach
Year of publication: |
2023
|
---|---|
Authors: | Nagy, Benedek ; Gabor, Manuela Rozalia ; Bacoș, Ioan Bogdan ; Kabil, Moaaz ; Zhu, Kai ; David, Lorant Denes |
Published in: |
Equilibrium : quarterly journal of economics and economic policy. - Olsztyn : Instytut Badań Gospodarczych, ISSN 2353-3293, ZDB-ID 2753615-4. - Vol. 18.2023, 2, p. 419-459
|
Subject: | Apple mobility data | COVID-19 pandemic | Europe | Google Mobility data | Mobility | Tourism | Coronavirus | Mobilkommunikation | Mobile communications | EU-Staaten | EU countries | Tourismus | Neuronale Netze | Neural networks | Epidemie | Epidemic | Europa | Mobiltelefon | Mobile phone |
-
Using mobile device data to understand the effect of stay-at-home orders on residents' mobility
Wang, Guihua, (2022)
-
The geography of travel behavior in the early phase of the COVID-19 pandemic
Brinkman, Jeffrey C., (2020)
-
García-Ochoa Mayor, Mónica, (2016)
- More ...
-
Gender perspectives in tourism studies : a comparative bibliometric analysis in the MENA region
Kabil, Moaaz, (2024)
-
Digital technologies for sustainable tourism destinations : state of the art and research agenda
El Archi, Youssef, (2023)
-
The Restructuring of the European Pharmaceutical Industry between 2000 and 2018
Nagy, Benedek, (2021)
- More ...