Google and Apple mobility data as predictors for European tourism during the COVID-19 pandemic: A neural network approach.
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| Title: | Google and Apple mobility data as predictors for European tourism during the COVID-19 pandemic: A neural network approach. |
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| Authors: | Nagy, Benedek1, Gabor, Manuela Rozalia2, Bacoș, Ioan Bogdan2, Kabil, Moaaz3, Kai Zhu4 hizhukai@163.com, Dávid, Lóránt Dénes5 |
| Source: | Equilibrium (1689-765X). Jun2023, Vol. 18 Issue 2, p419-459. 41p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 169989940 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=169989940 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.24136/eq.2023.013 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 41 StartPage: 419 Titles: – TitleFull: Google and Apple mobility data as predictors for European tourism during the COVID-19 pandemic: A neural network approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nagy, Benedek – PersonEntity: Name: NameFull: Gabor, Manuela Rozalia – PersonEntity: Name: NameFull: Bacoș, Ioan Bogdan – PersonEntity: Name: NameFull: Kabil, Moaaz – PersonEntity: Name: NameFull: Kai Zhu – PersonEntity: Name: NameFull: Dávid, Lóránt Dénes IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 1689765X Numbering: – Type: volume Value: 18 – Type: issue Value: 2 Titles: – TitleFull: Equilibrium (1689-765X) Type: main |
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