Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/66855
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Clavería González, Óscar | - |
dc.contributor.author | Monte Moreno, Enric | - |
dc.contributor.author | Torra Porras, Salvador | - |
dc.date.accessioned | 2015-09-10T07:11:10Z | - |
dc.date.available | 2015-09-10T07:11:10Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 2211-9736 | - |
dc.identifier.uri | http://hdl.handle.net/2445/66855 | - |
dc.description.abstract | This study evaluates whether modelling the existing commont trends in tourism arrivals from all visitor markets to a specific destination can improve tourism predictions. While most tourism forecasting research focuses on univariate methods, we compare the performance of three different Artificial Neural Networks in a multivariate setting that takes into account the correlations in the evolution of inbound international tourism demand to Catalonia (Spain). We find that the multivariate multiple-output approach does not outperform the forecasting performance of the networks when applied country by country, but it significantly outperforms the forecasting performance for total tourist arrivals. | - |
dc.format.extent | 7 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Elsevier Ltd | - |
dc.relation.isformatof | Versió postprint del document publicat a: http://dx.doi.org/10.1016/j.tmp.2015.07.013 | - |
dc.relation.ispartof | Tourism Management Perspectives , 2015, vol. 16, p. 116-122 | - |
dc.relation.uri | http://dx.doi.org/10.1016/j.tmp.2015.07.013 | - |
dc.rights | (c) Elsevier Ltd, 2015 | - |
dc.source | Articles publicats en revistes (Econometria, Estadística i Economia Aplicada) | - |
dc.subject.classification | Previsió econòmica | - |
dc.subject.classification | Turisme | - |
dc.subject.classification | Desenvolupament econòmic | - |
dc.subject.classification | Xarxes neuronals (Informàtica) | - |
dc.subject.other | Economic forecasting | - |
dc.subject.other | Tourism | - |
dc.subject.other | Economic development | - |
dc.subject.other | Neural networks (Computer science) | - |
dc.title | Common trends in international tourism demand: Are they useful to forecast tourism predictions? | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.idgrec | 653980 | - |
dc.date.updated | 2015-09-10T07:11:11Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Econometria, Estadística i Economia Aplicada) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
653980.pdf | 190.23 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.