EVALUATING ECOTOURISM POTENTIAL IN PRESPA PARK USING PARTICIPATORY MULTI-CRITERIA DECISION ANALYSIS

In this study, an approach based on an integrated and participatory multi-criteria decision-making analysis was developed and used to identify the best option for tourism development and the main priority factors supporting the ecotourism industry in Prespa Park. The study was based on different empirical analyses and conducted in two parts. In the first part, the PROMETHE II technique coupled with a fuzzy Delphi survey was applied to identify the best type of tourism development. The obtained result indicated that the ecotourism option, was the best one, followed by agritourism, cultural tourism, rural tourism, and finally the "tourism as usual". In the second part, the ecotourism aspects were compared, and the main priority factors supporting the development of a sustainable ecotourism industry were identified using the fuzzy Delphi method and fuzzy analytical hierarchy process. Comparing various aspects of ecotourism, economics seems to be the main driver behind the industry, with social and environmental aspects coming in second and third. We also identified six priority factors supporting ecotourism, to which attention needs to be paid. The findings may aid policymakers and decision-makers in developing long-term strategies to boost the ecotourism industry and reduce environmental damage in Prespa Park and other similar areas

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-03
DOI
https://doi.org/10.5281/zenodo.17044693
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

EVALUATING ECOTOURISM POTENTIAL IN PRESPA PARK USING PARTICIPATORY MULTI-CRITERIA DECISION ANALYSIS

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

EVALUATING ECOTOURISM POTENTIAL IN PRESPA PARK USING PARTICIPATORY MULTI-CRITERIA DECISION ANALYSIS

article en

Abstract

In this study, an approach based on an integrated and participatory multi-criteria decision-making analysis was developed and used to identify the best option for tourism development and the main priority factors supporting the ecotourism industry in Prespa Park. The study was based on different empirical analyses and conducted in two parts. In the first part, the PROMETHE II technique coupled with a fuzzy Delphi survey was applied to identify the best type of tourism development. The obtained result indicated that the ecotourism option, was the best one, followed by agritourism, cultural tourism, rural tourism, and finally the "tourism as usual". In the second part, the ecotourism aspects were compared, and the main priority factors supporting the development of a sustainable ecotourism industry were identified using the fuzzy Delphi method and fuzzy analytical hierarchy process. Comparing various aspects of ecotourism, economics seems to be the main driver behind the industry, with social and environmental aspects coming in second and third. We also identified six priority factors supporting ecotourism, to which attention needs to be paid. The findings may aid policymakers and decision-makers in developing long-term strategies to boost the ecotourism industry and reduce environmental damage in Prespa Park and other similar areas

Zenodo (CERN European Organization for Nuclear Research)
Agricultural University of Tirana (AL)
Decent work and economic growth
Openalex Percentile: Top 55%
Geochemistry and Geologic Mapping
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EVALUATING ECOTOURISM POTENTIAL IN PRESPA PARK USING PARTICIPATORY MULTI-CRITERIA DECISION ANALYSIS · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS