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Spatial and statistical analysis of tourism indicators – contribution to tourism accommodation planning

dc.contributor.authorLemos, Carlota
dc.contributor.authorBrito, Manuel
dc.date.accessioned2019-12-13T16:05:00Z
dc.date.available2019-12-13T16:05:00Z
dc.date.issued2019-03-21
dc.description.abstractIntroduction: Considering the importance of tourism in the region of Viseu Dão Lafões which is differentiated by cultural values, thermal resources and wine-growing heritage, technologies of spatial and statistical analysis are essential for strategic planning in tourism in the region. Objectives: Analyze and map the tourism supply and demand, by municipality, regarding annual tourism indicators, with integration of GIS and statistical analysis. Methods: We used data of the INE tourism indicators by municipality and the CAOP2018. GIS was used to delimit the study area, georeferentiation and spatial analysis. Descriptive analysis of differences in tourism indicators between municipalities was integrated applying Kruskal-Wallis test (α = 5%) and cluster analysis. The software SPSS (version 25) and ARCGIS (version 10.5) were used. Results: In the tourism accommodation sector, there are statistically significant differences between municipalities in accommodation capacity, number of guests and overnight stays, total revenue and net bed occupancy rate, especially the differences from Carregal do Sal and Oliveira de Frades to S. Pedro do Sul and Viseu. By cluster analysis applied to every and each indicator under study, the municipalities can be grouped in 4 clusters, despite individual differences. We produced digital cartography to support the main results from spatial and statistical analysis. Conclusion: Despite tourism growth in the region, our study shows statistical differences in the indicators analyzed between municipalities.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLemos, C. & Brito, M. (2019). Spatial and statistical analysis of tourism indicators – contribution to tourism accommodation planning. In J. P. Lousado (Ed.), "Abstract Proceedings of International Conference on Tourism and Social Support Technologies Innovation and Local Development" (p. 13). Lamego: School of Technology and Management.pt_PT
dc.identifier.issn978-972-8765-20-0
dc.identifier.urihttp://hdl.handle.net/10400.19/6025
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherPolytechnic Institute of Viseupt_PT
dc.relation.publisherversionhttps://www.estgl.ipv.pt/ICTSST2019/eBook_ICTSST19(DS).pdfpt_PT
dc.subjectTourism indicatorspt_PT
dc.subjectAccommodationpt_PT
dc.subjectViseu Dão Lafõespt_PT
dc.subjectCluster analysispt_PT
dc.subjectGISpt_PT
dc.titleSpatial and statistical analysis of tourism indicators – contribution to tourism accommodation planningpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLamego, Portugalpt_PT
oaire.citation.endPage13pt_PT
oaire.citation.startPage13pt_PT
oaire.citation.titleAbstract Proceedings of International Conference on Tourism and Social Support Technologies Innovation and Local Developmentpt_PT
person.familyNameLemos
person.familyNameBrito
person.givenNameCarlota
person.givenNameManuel
person.identifier.ciencia-id151A-2030-0853
person.identifier.orcid0000-0002-0636-0635
person.identifier.orcid0000-0002-2773-3525
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicatione3b15d0e-c818-47b6-b499-dad1fdfbedec
relation.isAuthorOfPublicationdb476ac3-b151-47f7-ae8c-e4a0208aee1d
relation.isAuthorOfPublication.latestForDiscoverye3b15d0e-c818-47b6-b499-dad1fdfbedec

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