Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

A Scenario-Based Framework to Optimising Eco-Wellness Tourism Development and Creating Niche Markets

A Case Study of Ardabil, Iran

Bibliographic Data

ID22032671
AuthorsNasrin Kazemi (0000-0002-7203-2429, University of Tehran), Zahra Taheri (0000-0001-8636-2798, University of Tehran), Jamal Jokar Arsanjani (0000-0001-6347-2935, Aalborg University, corresponding author), Mohammad Karimi Firozjaei (0000-0002-3060-9162, University of Tehran)
Year2025
Volume14
Issue10
Pages385
Publication date2025-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi14100385
OpenAlexW4414708832
LanguageEN
References cited45

Decision-making and planning in eco-wellness tourism can vary depending on time, resources, and the perspectives of stakeholders, as it is often challenging to generalize the results of decision-making models across different scenarios. Hence, the primary objective of this study was to propose a scenario-based framework for optimising eco-wellness tourism development. For this purpose, maps of 26 factors affecting the evaluation of nature-based eco-wellness tourism, including water, climatic, and kinetic therapies, were used in the Ardabil province of Iran. Weighted criteria maps are integrated into suitability maps for various wellness tourism products under different scenarios, ranging from very pessimistic to very optimistic, using the Ordered Weighted Averaging (OWA) operator. Then, to identify areas of consensus, scenario-based maps for water, climate, and kinetic therapies are combined. In the very pessimistic (optimistic) scenario, climate-only therapy accounts for 0.91% (2.23%), water-only therapy for 1.07% (8.44%), and kinetic-only therapy for 3.5% (5.81%) of the area. The most significant expansion is observed in areas integrating all three therapies—climate, water, and kinetic—which increase from 3.23% in the very pessimistic scenario to 14.5% in the very optimistic scenario. The findings have substantial insights for policymakers, tourism planners, and investors in developing and promoting unique eco-wellness experiences that benefit tourists. The methodical approach and choice of data and parameters in the study can be inspirational and adjustable for relevant studies

Pessimism · Tourism · Diverse Aspects of Tourism Research · Diverse Scientific Research in Ukraine · Global Healthcare and Medical Tourism

  • Health and Wellness Tourism

    Patricia Erfurt-Cooper, Malcolm Cooper•Health and wellness tourism•2009

  • How to make a decision

    Open Access•Thomas L Saaty•European Journal of Operational…•1990

  • Engaging with restorative environments in wellness tourism

    Sheila J Backman, Yu-Chih Huang et al.•Current Issues in Tourism•2023

  • Investigating Natural Treatment Factors and Inequalities of Medicinal Water Institutions in the Aspect of Tourism in Hungary

    Open Access•Ágnes Erzsébet Hojcska, Zoltan Szabo•GeoJournal of Tourism and Geosites•2021

  • The Process of Constructing a Health Tourism Destination Index

    Open Access•Chia-Wen Lee, Ching Li•International Journal of…•2019

  • Spatial Pattern and Influencing Factors of Tourism Resources in Northwestern Ethnic Areas in China—A Case Study of Longde County

    Open Access•Shengrui Zhang, Lei Chi et al.•International Journal of…•2022

  • Subjective knowledge and health consciousness influences on health tourism intention after the Covid-19 pandemic

    Bo Pu, Fei Du et al.•Journal of Psychology in Africa•2021

  • The co-evolution of therapeutic landscape and health tourism in bama longevity villages, China

    Open Access•Xiang Yan, Shenjing He•Health & Place•2020

  • Wellness tourism and spatial stigma

    Open Access•Ke Wang, Honggang Xu et al.•Tourism Management•2020

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae