Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/108924
Título: Using a VGI and GIS-Based Multicriteria Approach for Assessing the Potential of Rural Tourism in Extremadura (Spain)
Autor: González-Ramiro, Abel
Gonçalves, Gil 
Sánchez-Ríos, Alonso
Jeong, Jin
Palavras-chave: VGI; GIS; AHP; rural tourism potential; Extremadura (Spain)
Data: 2016
Editora: MDPI
Projeto: UID/MULTI/00308/2013 
Título da revista, periódico, livro ou evento: Sustainability (Switzerland)
Volume: 8
Número: 11
Resumo: Extremadura (Spain), being one of the less-developed EU regions, is also eligible for European funds, including those related with the development of tourism activities in rural areas. To assess the spatial distribution of rural tourism potential (RTP), a methodological approach was followed by combining the synergetic use of geographic information systems (GIS) and the analytical hierarchical process (AHP). For the evaluation model, six factors were examined and hierarchized by a panel of eighteen experts: tourism accommodation offer, activities in natural areas, gastronomic offer, cultural activities, bath offer in natural environments, and activities in active tourism. These factors were then decomposed into thirty-two evaluation criteria and the relative importance of their weights was estimated using pairwise judgments. Using publicly available data and volunteered geographic information (VGI) platforms, the related spatial and non-spatial data were collected, collated, and standardized, employing appropriate tools developed with open-source GIS software. The results, represented by a series of intensity maps, indicate the RTP scores, highlight the strengths and weaknesses in each county, and could serve as a planning tool for public and/or private investments.
URI: https://hdl.handle.net/10316/108924
ISSN: 2071-1050
DOI: 10.3390/su8111144
Direitos: openAccess
Aparece nas coleções:I&D INESCC - Artigos em Revistas Internacionais

Mostrar registo em formato completo

Visualizações de página

58
Visto em 17/jul/2024

Downloads

52
Visto em 17/jul/2024

Google ScholarTM

Verificar

Altmetric

Altmetric


Este registo está protegido por Licença Creative Commons Creative Commons