Applying Q-methodology to investigate the perception of the social and economic role of the national park by local stakeholders. Cases of national parks in the Carpathians

Zawilińska, Bernadetta; Dická, Janetta Nestorová; Matei, Elena; Švajda, Juraj; Łapczyński, Mariusz; Majewski, Karol; Megyeri, Balázs; Călin, Alexandru Cosmin; Gessert, Alena

doi:10.1016/j.jnc.2023.126459

Cited by 7 publications

(2 citation statements)

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“…Each linguistic expression was corresponded with a distinct fuzzy number. For instance, "Absolutely bad (AB)" was assigned a fuzzy number of (1, 1, 2), while "Very bad (VB)" corresponded to (2,3,4), and so forth, as shown in Table 2. These fuzzy numbers are derived with careful consideration to the possibility of partial overlap among individual numerical values.…”

Section: Resultsmentioning

confidence: 99%

“…One particular niche within this context that has garnered significant attention is mountain tourism, driven by the allure of breathtaking landscapes, outdoor adventures, and cultural experiences. As this sector continues to grow, the need for a comprehensive assessment framework becomes imperative to ensure its long-term viability while preserving the delicate balance of the natural environment, local communities, and economic interests [1][2][3]. This paper introduces an innovative approach to tackle this challenge.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Mountain Tourism Sustainability Using Integrated Fuzzy MCDM Model

Xu,

Bai,

Shi

et al. 2023

Sustainability

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The sustainable development of mountain tourism is crucial for preserving the delicate ecosystems and resources found in these unique landscapes. This research paper investigates the sustainability of mountain lodges, which serve as essential facilities for delivering mountain tourism services. To assess sustainability, expert decision making involving eight selected experts was employed. A hybrid approach combining the IMF SWARA (IMproved Fuzzy Step-wise Weight Assessment Ratio Analysis) method with Fuzzy Dombi Aggregation Operators was utilized to determine the weights of various sustainability criteria. The IMF SWARA method assigned initial weights based on expert input, which were subsequently adjusted using Fuzzy Dombi Aggregation Operators. The findings highlight the significance of two key criteria as per expert evaluations: the quality of the services offered (C21) and the preservation of natural resources (C15). To rank and evaluate the mountain lodges, the fuzzy CRADIS (Compromise Ranking of Alternatives from Distance to Ideal Solution) method was employed, ultimately identifying Zabrana (ML6) as the top-ranked mountain lodge. The validity of these results was confirmed through result validation and sensitivity analysis. This research contributes by providing insights into the current state of mountain tourism and offering guidelines for enhancing the overall mountain tourism experience through the integration of fuzzy methods.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%