Applied Research Advances

Vol. 2 No. 1 (2026): Applied Research Advances
Articles

Promoting Socio-Economic and Environmental Tourism Principles: A Decision Analytics Approach for Measuring Attractiveness Levels

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  • Galip Cihan Yalçın,
  • Karahan Kara,
  • Mehmet Akif Kara,
  • Vladimir Simic,
  • Nazik Çelikkanat Paslı,
  • Mehmet Mert Paslı,
  • Dragan Pamucar
Galip Cihan Yalçın
1) Department of Business, Faculty of Economics and Administrative Sciences, OSTIM Technical University, 06374 Ankara, Türkiye
Karahan Kara
2) Faculty of Economics and Administrative Sciences, İzmir Katip Çelebi University, 35620 İzmir, Türkiye; 1) Department of Business, Faculty of Economics and Administrative Sciences, OSTIM Technical University, 06374 Ankara, Türkiye; 3) Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, SIMATS, Chennai, India
Mehmet Akif Kara
4) Department of Business Administration, Faculty of Economics and Administrative Sciences, Giresun University, 3088 Giresun, Türkiye
Vladimir Simic
5) University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11010 Belgrade, Serbia; 6) Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul 02841, Republic of Korea; 7) Faculty of Engineering and Technology, Sunway University, 47500 Selangor Darul Ehsan, Malaysia
Nazik Çelikkanat Paslı
8) Department of Recreation Management, Faculty of Tourism, Giresun University, 3088 Giresun, Türkiye
Mehmet Mert Paslı
8) Department of Recreation Management, Faculty of Tourism, Giresun University, 3088 Giresun, Türkiye
Dragan Pamucar
9) Department of Operations Research and Statistics, Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia; 10) UNEC Applied Artificial Intelligence Research Center, Azerbaijan State University of Economics (UNEC), Baku, Azerbaijan

Published 2026-07-22

Keywords

  • Sustainable Tourism Attraction Performance,
  • Decision Support System,
  • Interval-Valued Neutrosophic Sets,
  • Ranking Comparison Method,
  • Modified Preference Selection Index Method

Copyright (c) 2026 Galip Cihan Yalçın, Karahan Kara, Mehmet Akif Kara, Vladimir Simic, Nazik Çelikkanat Paslı, Mehmet Mert Paslı, Dragan Pamucar (Author)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Yalçın, G. C., Kara, K., Kara, M. A., Simic, V., Paslı, N. Çelikkanat, Paslı, M. M., & Pamucar, D. (2026). Promoting Socio-Economic and Environmental Tourism Principles: A Decision Analytics Approach for Measuring Attractiveness Levels. Applied Research Advances, 2(1), 225-263. https://doi.org/10.65069/ara21202630
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Abstract

The purpose of this investigation is to construct a decision mechanism for determining sustainable tourism attractiveness levels. The main aim is to propose an integrated model that merges neutrosophic logic with decision-making techniques to evaluate sustainable tourism attractiveness. For this purpose, the Interval-Valued Neutrosophic based Ranking Comparison -  Modified Preference Selection Index - Opportunity Losses-Based Polar Coordinate Distance hybrid method (IVN-RANCOM-MPSI-OPLO-POCOD) approach is developed. IVN-RANCOM determines the weights of subjective criteria, while IVN-MPSI assigns weights to objective criteria. The OPLO-POCOD method is used to identify and rank how attractive each province is for sustainable tourism. The applicability of the hybrid neutrosophic decision analytics approach is tested in seven provinces located in the Eastern Black Sea region of Türkiye. By applying the hybrid method, the sustainable tourism attractiveness levels of these provinces are determined. The findings indicate that Rize Province has the highest level of sustainable tourism attractiveness. The most significant criteria identified in this study are "highland tourism centers", "number of blue flag beaches", and "number of festivals". Robustness and consistency analyses are presented, along with implications for both industry and academia.

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References

  1. Rej, S., Bandyopadhyay, A., Murshed, M., Mahmood, H., & Razzaq, A. (2022). Pathways to decarbonization in India: The role of environmentally friendly tourism development. Environmental Science and Pollution Research, 29, 50281–50302. https://doi.org/10.1007/s11356-022-19239-2.
  2. Nunkoo, R., Sharma, A., Rana, N. P., Dwivedi, Y. K., & Sunnassee, V. A. (2023). Advancing sustainable development goals through interdisciplinarity in sustainable tourism research. Journal of Sustainable Tourism, 31(3), 735-759. https://doi.org/10.1080/09669582.2021.2004416.
  3. Hall, C. M. (2011). Policy learning and policy failure in sustainable tourism governance: From first-and second-order to third-order change? Journal of Sustainable Tourism, 19(4-5), 649-671. https://doi.org/10.1080/09669582.2011.555555.
  4. Moyle, B., Moyle, C. L., Ruhanen, L., Weaver, D., & Hadinejad, A. (2020). Are we really progressing sustainable tourism research? A bibliometric analysis. Journal of Sustainable Tourism, 29(1), 106-122. https://doi.org/10.1080/09669582.2020.1817048.
  5. Han, H. (2021). Consumer behavior and environmental sustainability in tourism and hospitality: A review of theories, concepts, and latest research. Sustainable Consumer Behaviour and the Environment, 1-22. https://doi.org/10.1080/09669582.2021.1903019.
  6. Wani, M. D., Dada, Z. A., & Shah, S. A. (2024). The impact of community empowerment on sustainable tourism development and the mediation effect of local support: a structural equation Modeling approach. Community Development, 55(1), 50-66. https://doi.org/10.1080/15575330.2022.2109703.
  7. Kitamura, Y., Karkour, S., Ichisugi, Y., & Itsubo, N. (2020). Evaluation of the economic, environmental, and social impacts of the COVID-19 pandemic on the Japanese tourism industry. Sustainability, 12(24), 10302. https://doi.org/10.3390/su122410302.
  8. Zhang, S., & Chan, E. S. (2020). A modernism‐based interpretation of sustainable tourism. International Journal of Tourism Research, 22(2), 223-237. https://doi.org/10.1002/jtr.2330.
  9. Prerana, P., Kapoor, D., & Jain, A. (2024). Sustainable tourism and its future research directions: A bibliometric analysis of twenty-five years of research. Tourism Review, 79(3), 541-567. https://doi.org/10.1108/TR-11-2022-0540.
  10. Agarwal, R., Mehrotra, A., Mishra, A., Rana, N. P., Nunkoo, R., & Cho, M. (2024). Four decades of sustainable tourism research: Trends and future research directions. International Journal of Tourism Research, 26(2), e2643. https://doi.org/10.1002/jtr.2643.
  11. Dolnicar, S., & Greene, D. (2025). Research for environmentally sustainable tourism–All talk, no action?. Journal of Hospitality and Tourism Management, 62, 28-33. https://doi.org/10.1016/j.jhtm.2024.12.002.
  12. Dupeyras, A., & MacCallum, N. (2013). Indicators for Measuring Competitiveness in Tourism: A Guidance Document (No. 2013/2). OECD Publishing. http://dx.doi.org/10.1787/5k47t9q2t923-en.
  13. Islam, N. U., & Chaudhary, M. (2020). Index of destination attractiveness: A quantitative approach for measuring tourism attractiveness. Turizam, 25(1), 31-44. https://doi.org/10.5937/turizam25-27235.
  14. Malik, M. I., & Bhat, M. S. (2015). Sustainability of tourism development in Kashmir—Is paradise lost?. Tourism Management Perspectives, 16, 11-21. https://doi.org/10.1016/j.tmp.2015.05.006.
  15. Gearing, C. E., Swart, W. W., & Var, T. (1974). Establishing a measure of touristic attractiveness. Journal of Travel Research, 12(4), 1-8. https://doi.org/10.1177/004728757401200401.
  16. Formica, S., & Uysal, M. (2006). Destination attractiveness based on supply and demand evaluations: An analytical framework. Journal of Travel Research, 44(4), 418-430. https://doi.org/10.1177/0047287506286714.
  17. WTO. (2024). International tourism highlights, 2024 edition (November 2024). UN Tourism. https://doi.org/10.18111/9789284425808.
  18. Hu, Y., & Ritchie, J. B. (1993). Measuring destination attractiveness: A contextual approach. Journal of Travel Research, 32(2), 25-34. https://doi.org/10.1177/004728759303200204.
  19. Buhalis, D. (2000). Marketing the competitive destination of the future. Tourism Management, 21(1), 97-116. https://doi.org/10.1016/S0261-5177(99)00095-3.
  20. Netto, A. P. (2009). What is tourism? Definitions, theoretical phases and principles. Philosophical Issues in Tourism, 37, 43-62. https://doi.org/10.21832/9781845410988-004.
  21. Tosun, C. (2001). Challenges of sustainable tourism development in the developing world: the case of Türkiye. Tourism Management, 22(3), 289-303. https://doi.org/10.1016/S0261-5177(00)00060-1.
  22. Haller, A. (2024). Sustainability in tourism: impact of attractiveness factors in the world’s most visited destinations. The Journal of Environment & Development, 33(2), 196-216. https://doi.org/10.1177/10704965231222176.
  23. Kara, K., Yalçın, G. C., Simic, V., Baysal, Z., & Pamucar, D. (2024). The alternative ranking using two-step logarithmic normalization method for benchmarking the supply chain performance of countries. Socio-Economic Planning Sciences, 92, 101822. https://doi.org/10.1016/j.seps.2024.101822.
  24. Önden, A., Kara, K., Önden, İ., Yalçın, G. C., Simic, V., & Pamucar, D. (2024). Exploring the adoption of the metaverse and chat generative pre-trained transformer: A single-valued neutrosophic Dombi Bonferroni-based method for the selection of software development strategies. Engineering Applications of Artificial Intelligence, 133, 108378. https://doi.org/10.1016/j.engappai.2024.108378.
  25. Ye, J. (2014). Improved correlation coefficients of single valued neutrosophic sets and interval neutrosophic sets for multiple attribute decision making. Journal of Intelligent & Fuzzy Systems, 27(5), 2453-2462. https://doi.org/10.3233/IFS-141215.
  26. Więckowski, J., Kizielewicz, B., Shekhovtsov, A., & Sałabun, W. (2023). RANCOM: A novel approach to identifying criteria relevance based on inaccuracy expert judgments. Engineering Applications of Artificial Intelligence, 122, 106114. https://doi.org/10.1016/j.engappai.2023.106114.
  27. Gligorić, M., Gligorić, Z., Lutovac, S., Negovanović, M., & Langović, Z. (2022). Novel hybrid MPSI–MARA decision-making model for support system selection in an underground mine. Systems, 10(6), 248. https://doi.org/10.3390/systems10060248.
  28. Sheikh, R., & Senfi, S. (2024). A Novel Opportunity Losses‐Based Polar Coordinate Distance (OPLO‐POCOD) Approach to Multiple Criteria Decision‐Making. Journal of Mathematics, 2024(1), 8845886. https://doi.org/10.1155/2024/8845886.
  29. Chou, T. Y., Hsu, C. L., & Chen, M. C. (2008). A fuzzy multi-criteria decision model for international tourist hotels location selection. International Journal of Hospitality Management, 27(2), 293-301. https://doi.org/10.1016/j.ijhm.2007.07.029.
  30. Gigović, L., Pamučar, D., Lukić, D., & Marković, S. (2016). GIS-Fuzzy DEMATEL MCDA model for the evaluation of the sites for ecotourism development: A case study of “Dunavski ključ” region, Serbia. Land Use Policy, 58, 348-365. https://doi.org/10.1016/j.landusepol.2016.07.030.
  31. Ghasemi, P., Mehdiabadi, A., Spulbar, C., & Birau, R. (2021). Ranking of sustainable medical tourism destinations in Iran: an integrated approach using fuzzy SWARA-PROMETHEE. Sustainability, 13(2), 683. https://doi.org/10.3390/su13020683.
  32. Zhang, C., Liao, H., Luo, L., & Xu, Z. (2022). Low-carbon tourism destination selection by a thermodynamic feature-based method. Journal of the Operational Research Society, 73(8), 1692-1707. https://doi.org/10.1080/01605682.2021.1908862.
  33. Genç, E., Keleş, M. K., & Özdağoğlu, A. (2024). A hybrid MCDM model for personnel selection based on a novel Gray AHP, Gray MOORA and Gray MAUT methods in terms of business management: An application in the tourism sector. Journal of Decision Analytics and Intelligent Computing, 4(1), 263-284. https://doi.org/10.31181/jdaic10024122024g.
  34. Huang, Y., Liang, H., Khan, A., & Lyu, J. (2024). Balancing constructability and tourist experience: A comprehensive approach to tourist attraction construction. Journal of Destination Marketing & Management, 33, 100920. https://doi.org/10.1016/j.jdmm.2024.100920.
  35. Li, Y., Liu, Y., & Solangi, Y. A. (2024). Analysis of factors and strategies for the implementation of sustainable tourism in a green economic structure in China. Journal of Cleaner Production, 434, 140011. https://doi.org/10.1016/j.jclepro.2023.140011.
  36. Kolkos, G., Kantartzis, A., Stergiadou, A., & Arabatzis, G. (2024). Development of Semi-Mountainous and Mountainous Areas: Design of Trail Paths, Optimal Spatial Distribution of Trail Facilities, and Trail Ranking via MCDM-VIKOR Method. Sustainability, 16(22), 9966. https://doi.org/10.3390/su16229966.
  37. Langović, Z., Pažun, B., Grujčić, Ž., Nikolić, M., Milićević, A. L., & Ugrinov, D. (2025). MCDM Approach Combining DEA and AHP Methods in Sustainable Tourism: Case of Serbia. Journal of Scientific & Industrial Research, 84, 183-195. https://doi.org/10.56042/jsir.v84i02.8163.
  38. Islam, N., Paul, I., & Sarkar, B. (2025). Geotourism site suitability assessment by a novel GIS-based MCDM method in the Eastern Duars region (Himalayan foothill) of West Bengal, India. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-024-05959-7.
  39. Buasri, N., & Sangpradid, S. (2025). Enhancing tourist experience: A fuzzy topsis approach to destination recommendation systems. Geojournal of Tourism and Geosites, 58(1), 233-242. https://doi.org/10.30892/gtg.58120-1405.
  40. Liu, M., & Wang, S. (2017). Method for evaluating the eco-tourism environmental carrying capacity with hesitant fuzzy linguistic information. Journal of Intelligent & Fuzzy Systems, 33(3), 1733-1740. https://doi.org/10.3233/JIFS-161057.
  41. Wu, L., Wei, G., Wu, J., & Wei, C. (2020). Some interval-valued intuitionistic fuzzy dombi heronian mean operators and their application for evaluating the ecological value of forest ecological tourism demonstration areas. International Journal of Environmental Research and Public Health, 17(3), 829. https://doi.org/10.3390/ijerph17030829.
  42. Mijajlović, M., Puška, A., Stević, Ž., Marinković, D., Doljanica, D., Jovanović, S. V., et al. (2020). Determining the competitiveness of spa-centers in order to achieve sustainability using a fuzzy multi-criteria decision-making model. Sustainability, 12(20), 8584. https://doi.org/10.3390/su12208584.
  43. He, J., Huang, Z., Mishra, A. R., & Alrasheedi, M. (2021). Developing a new framework for conceptualizing the emerging sustainable community-based tourism using an extended interval-valued Pythagorean fuzzy SWARA-MULTIMOORA. Technological Forecasting and Social Change, 171, 120955. https://doi.org/10.1016/j.techfore.2021.120955.
  44. García Mestanza, J., & Bakhat, R. (2021). A fuzzy ahp-mairca model for overtourism assessment: The case of Malaga province. Sustainability, 13(11), 6394. https://doi.org/10.3390/su13116394.
  45. Bausys, R., & Zavadskas, E. (2015). Multicriteria decision making approach by VIKOR under interval neutrosophic set environment. Economic Computation and Economic Cybernetics Studies and Research, 49(4), 33–48.
  46. Bolturk, E., & Kahraman, C. (2018). Interval-valued neutrosophic AHP with possibility degree method. International Journal of the Analytic Hierarchy Process, 10(3). https://doi.org/10.13033/ijahp.v10i3.545.
  47. Karaşan, A., & Kahraman, C. (2018). Interval-valued neutrosophic extension of EDAS method. In J. Kacprzyk, E. Szmidt, S. Zadrożny, K. T. Atanassov, & M. Krawczak (Eds.), Advances in Fuzzy Logic and Technology 2017 (Vol. 642, pp. 343–357). Springer. https://doi.org/10.1007/978-3-319-66824-6_31.
  48. Broumi, S., Ajay, D., Chellamani, P., Malayalan, L., Talea, M., Bakali, A., ... & Jafari, S. (2022). Interval valued pentapartitioned neutrosophic graphs with an application to MCDM. Operational Research in Engineering Sciences: Theory and Applications, 5(3), 68-91. https://doi.org/10.31181/oresta031022031b.
  49. Shekhovtsov, A. (2023). Evaluating the performance of subjective weighting methods for multi-criteria decision-making using a novel weights similarity coefficient. Procedia Computer Science, 225, 4785-4794. https://doi.org/10.1016/j.procs.2023.10.478.
  50. Więckowski, J., Wątróbski, J., & Sałabun, W. (2024). Inaccuracies in Expert Judgment: Comparative Analysis of RANCOM and AHP Methods in Housing Location Selection Problem. IEEE Access, 12, 142083-142100. https://doi.org/10.1109/ACCESS.2024.3443451.
  51. Więckowski, J., Wątróbski, J., Shkurina, A., & Sałabun, W. (2024). Adaptive multi-criteria decision making for electric vehicles: A hybrid approach based on RANCOM and ESP-SPOTIS. Artificial Intelligence Review, 57(10), 270. https://doi.org/10.1007/s10462-024-10901-4.
  52. Rani, P., Mishra, A. R., Cavallaro, F., & Alrasheedi, A. F. (2024). Location selection for offshore wind power station using interval-valued intuitionistic fuzzy distance measure-RANCOM-WISP method. Scientific Reports, 14(1), 4706. https://doi.org/10.1038/s41598-024-54929-6.
  53. Mishra, A. R., Rani, P., Pamucar, D., Alshamrani, A. M., & Alrasheedi, A. F. (2024). Intuitionistic fuzzy MACONT method for Logistics 4.0 based circular economy interested regions assessment in the agri-food sector. Facta Universitatis, Series: Mechanical Engineering. https://casopisi.junis.ni.ac.rs/index.php/FUMechEng/article/view/13071.
  54. Yılmaz, N. (2023). Financial Performance Analysis of Multi-Branch Banks with Integrated MPSI-MARA Model: The Case of Türkiye. Ekonomi ve Finansal Araştırmalar Dergisi, 5(2), 168-188. https://doi.org/10.56668/jefr.1384058.
  55. Torres, P. S., Gomes, C. F. S., & Santos, M. D. (2024). Selection of unmanned aerial vehicle systems for border monitoring using the MPSI-SPOTIS method. Journal of Defense Analytics and Logistics, 8(1), 80-104. https://doi.org/10.1108/JDAL-12-2023-0016.
  56. Akbulut, O. Y., & Aydın, Y. (2024). A Hybrid Multidimensional Performance Measurement Model Using the MSD-MPSI-RAWEC Model for Turkish Banks. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 11(3), 1157-1183. https://doi.org/10.30798/makuiibf.1464469.
  57. Macit, N. Ş. (2024). Avrupa ve orta asya ülkelerinde BİT gelişmişlik düzeyinin entegre MPSI-RAPS yöntemi ile ölçülmesi. Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 15(29), 24-53. https://doi.org/10.36543/kauiibfd.2024.002.
  58. Babaçoğlu, S., Yalçın, G. C., Kara, K., Turen, U., Simic, V., Polat, M., & Pamucar, D. (2025). Promoting Benchmarking and Best Practices in Education: An Interval-Valued Spherical Fuzzy Model for Assessing Sustainable Digital Transformation Maturity. Technology in Society, 102850. https://doi.org/10.1016/j.techsoc.2025.102850.
  59. Sheikh, R., & Senfi, S. (2023). Rapid assessment of customers and their classification with the OPportunity LOsess Based POlar COordinate Distance Sort (OPLO-POCOD SORT) and Net Promoter Score (NPS). Journal of Business Management Perspective, 22(55), 82-106. https://jbmp.sbu.ac.ir/article_104404.html?lang=en.
  60. Awang, A., Aizam, N. A. H., Ab Ghani, A. T., Othman, M., & Abdullah, L. (2020). A normalized weighted bonferroni mean aggregation operator considering shapley fuzzy measure under interval-valued neutrosophic environment for decision-making. International Journal of Fuzzy Systems, 22, 321-336. https://doi.org/10.1007/s40815-019-00752-5.
  61. Arshi, M., Hadi-Vencheh, A., Aazami, A., & Jamshidi, A. (2024). A Nonlinear Model to Solve Multiple Attribute Decision-Making Problems with Interval-Valued Neutrosophic Numbers. International Journal of Industrial Engineering, 35(4), 1-15. https://doi.org/10.22068/ijiepr.35.4.2094.
  62. Alioğulları, E., Türkan, Y. S., Çakmak, E., & Tirkolaee, E. B. (2024). Evaluation of risk strategies for supply chain sustainability with interval-valued neutrosophic fuzzy EDAS. Heliyon, 10(19). https://doi.org/10.1016/j.heliyon.2024.e38607.
  63. Teye, V., Sirakaya, E., & Sönmez, S. F. (2002). Residents' attitudes toward tourism development. Annals of Tourism Research, 29(3), 668-688. https://doi.org/10.1016/S0160-7383(01)00074-3.
  64. Litaa, R. P., Suryaa, S., Ma’rufb, M., & Syahrula, L. (2014). Green Attitude and Behavior of Local Tourists towards Hotels and Restaurants in West Sumatra, Indonesia. Procedia Environmental Sciences, 20, 261-270. https://doi.org/10.1016/j.proenv.2014.03.033.
  65. Zhang, J., Inbakaran, R. J., & Jackson, M. S. (2006). Understanding community attitudes towards tourism and host—Guest interaction in the urban—rural border region. Tourism Geographies, 8(2), 182-204. https://doi.org/10.1080/14616680600585455.
  66. Tang, H., Liu, X., Li, J., & Wang, H. (2025). Research on design intervention in spatial planning of traditional rural tourism: based on the perspective of tourists’ willingness to visit again. Journal of Asian Architecture and Building Engineering. https://doi.org/10.1080/13467581.2025.2455038.
  67. Baloch, Q. B., Shah, S. N., Iqbal, N., Sheeraz, M., Asadullah, M., Mahar, S., & Khan, A. U. (2023). Impact of tourism development upon environmental sustainability: a suggested framework for sustainable ecotourism. Environmental Science and Pollution Research, 30(3), 5917-5930. https://doi.org/10.1007/s11356-022-22496-w.
  68. Pan, S. Y., Gao, M., Kim, H., Shah, K. J., Pei, S. L., & Chiang, P. C. (2018). Advances and challenges in sustainable tourism toward a green economy. Science of the Total Environment, 635, 452-469. https://doi.org/10.1016/j.scitotenv.2018.04.134.
  69. Kim, H. K., & Lee, T. J. (2018). Brand equity of a tourist destination. Sustainability, 10(2), 431. https://doi.org/10.3390/su10020431.
  70. Qu, H., Kim, L. H., & Im, H. H. (2011). A model of destination branding: Integrating the concepts of the branding and destination image. Tourism Management, 32(3), 465-476. https://doi.org/10.1016/j.tourman.2010.03.014.
  71. Boley, B. B., & Green, G. T. (2016). Ecotourism and natural resource conservation: the ‘potential’for a sustainable symbiotic relationship. Journal of Ecotourism, 15(1), 36-50. https://doi.org/10.1080/14724049.2015.1094080.
  72. Khater, M., Ibrahim, O., Sayed, M. N. E., & Faik, M. (2024). Legal frameworks for sustainable tourism: balancing environmental conservation and economic development. Current Issues in Tourism. https://doi.org/10.1080/13683500.2024.2404181.
  73. Habibullah, M. S., Din, B. H., Chong, C. W., & Radam, A. (2016). Tourism and biodiversity loss: implications for business sustainability. Procedia Economics and Finance, 35, 166-172. https://doi.org/10.1016/S2212-5671(16)00021-6.
  74. Young, J., Watt, A., Nowicki, P., Alard, D., Clitherow, J., Henle, K., et al. (2005). Towards sustainable land use: identifying and managing the conflicts between human activities and biodiversity conservation in Europe. Biodiversity & Conservation, 14, 1641-1661. https://doi.org/10.1007/s10531-004-0536-z.
  75. Zorpas, A. A., Lasaridi, K., Voukkali, I., Loizia, P., & Chroni, C. (2015). Household waste compositional analysis variation from insular communities in the framework of waste prevention strategy plans. Waste Management, 38, 3-11. https://doi.org/10.1016/j.wasman.2015.01.030.
  76. Giurea, R., Precazzini, I., Ragazzi, M., Achim, M. I., Cioca, L. I., Conti, F., et al. (2018). Good practices and actions for sustainable municipal solid waste management in the tourist sector. Resources, 7(3), 51. https://doi.org/10.3390/resources7030051.
  77. Falk, M. (2014). Impact of weather conditions on tourism demand in the peak summer season over the last 50 years. Tourism Management Perspectives, 9, 24-35. https://doi.org/10.1016/j.tmp.2013.11.001.
  78. Martín, M. B. G. (2005). Weather, climate and tourism a geographical perspective. Annals of Tourism Research, 32(3), 571-591. https://doi.org/10.1016/j.annals.2004.08.004.
  79. Klein, L., & Dodds, R. (2018). Blue Flag beach certification: an environmental management tool or tourism promotional tool?. Tourism Recreation Research, 43(1), 39-51. https://doi.org/10.1080/02508281.2017.1356984.
  80. Fraguell, R. M., Martí, C., Pintó, J., & Coenders, G. (2016). After over 25 years of accrediting beaches, has Blue Flag contributed to sustainable management?. Journal of Sustainable Tourism, 24(6), 882-903. https://doi.org/10.1080/09669582.2015.1091465.
  81. Zhang, C. X., Fong, L. H. N., Li, S., & Ly, T. P. (2019). National identity and cultural festivals in postcolonial destinations. Tourism Management, 73, 94-104. https://doi.org/10.1016/j.tourman.2019.01.013.
  82. Pamukçu, H., Saraç, Ö., Aytuğar, S., & Sandıkçı, M. (2021). The effects of local food and local products with geographical indication on the development of tourism gastronomy. Sustainability, 13(12), 6692. https://doi.org/10.3390/su13126692.
  83. Coruhlu, Y. E., & Yildiz, O. (2018). Geographical data model for cultural immovable properties. Survey Review, 50(363), 487-500. https://doi.org/10.1080/00396265.2017.1325568.
  84. Liu, P., Wu, L., & Li, X. R. (2022). What can hotels learn from the last recovery? Examining hotel occupancy rate and the guest experience. International Journal of Hospitality Management, 103, 103200. https://doi.org/10.1016/j.ijhm.2022.103200.
  85. Guizzardi, A., & Mazzocchi, M. (2010). Tourism demand for Italy and the business cycle. Tourism Management, 31(3), 367-377. https://doi.org/10.1016/j.tourman.2009.03.017.
  86. Pamucar, D., Ecer, F., Gligorić, Z., Gligorić, M., & Deveci, M. (2023). A novel WENSLO and ALWAS multicriteria methodology and its application to green growth performance evaluation. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2023.3321697.
  87. Bošković, S., Švadlenka, L., Jovčić, S., Dobrodolac, M., Simić, V., & Bacanin, N. (2023). An alternative ranking order method accounting for two-step normalization (AROMAN)—A case study of the electric vehicle selection problem. IEEE Access, 11, 39496-39507. https://doi.org/10.1109/ACCESS.2023.3265818.
  88. Pamucar, D., Simic, V., Görçün, Ö. F., & Küçükönder, H. (2024). Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals. Expert Systems with Applications, 239, 122312. https://doi.org/10.1016/j.eswa.2023.122312.
  89. Sotoudeh-Anvari, A. (2023). Root Assessment Method (RAM): A novel multi-criteria decision making method and its applications in sustainability challenges. Journal of Cleaner Production, 423, 138695. https://doi.org/10.1016/j.jclepro.2023.138695.
  90. Lai, Y. J., Liu, T. Y., & Hwang, C. L. (1994). Topsis for MODM. European Journal of Operational Research, 76(3), 486-500. https://doi.org/10.1016/0377-2217(94)90282-8.