Analysis of tourism sustainability synthetic indicators. A case study of Aragon

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URI: http://hdl.handle.net/10498/29527
DOI: 10.1016/j.heliyon.2023.e15206
ISSN: 2405-8440
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2023-04-07Department
Marketing y ComunicaciónSource
Heliyon. Vol. 9, nº 4, April 2023, e15206Abstract
Tourism sustainability is a long-term exploration process of human beings seeking to coexist
harmoniously with the ecological environment. The core of sustainable tourism development is to
achieve the harmonious development of the economy, society, and environment. Aragon’s rich
tourism resources attract many tourists, and the local government has formulated a sustainable
development strategy to develop tourism vigorously. This paper constructs a tool to assess the
sustainable development of tourism in Aragon based on the theory of sustainable tourism
development and related methods. It proposes the construction of synthetic indicators based on
the environmental-social-economic triad model, identifies individual indicators suitable for the
study of the region based on indicators that appear more frequently in related studies, and defines
and evaluates these indicators. We construct the matrices by questionnaire and expert consultation method and find that environmental and social factors significantly impact sustainable
development. The indicators are then standardized and weighted using hierarchical analysis to
determine the level of sustainable development of the local tourism industry based on the standard for assessing sustainable tourism development. The steps and methods of constructing
synthetic indicators proposed in this paper can guide future analysis of the strengths and weaknesses of tourism development in Aragon and similar areas under different conditions, as well as
for the study of factors affecting tourism development, and provide targeted suggestions for
improving the competitiveness of local tourism, taking into account regional tourism characteristics and actual conditions.
Subjects
Tourism sustainability; Synthetic indicator; Analytical Hierarchical ProcessCollections
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