Sustainable development, eco-tourism carrying capacity and fuzzy algorithm-a study on Kanas in Belt and Road

Abstract In this paper, the method of fuzzy pattern recognition is adopted in more precisely evaluating the actual state of eco-tourism development regarding a given tourist destination in comparison with the three standard patterns (saturated/optimal/deficient) of development degree. The research p...

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Main Authors: Kui Yu, Han Gao
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-41961-1
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author Kui Yu
Han Gao
author_facet Kui Yu
Han Gao
author_sort Kui Yu
collection DOAJ
description Abstract In this paper, the method of fuzzy pattern recognition is adopted in more precisely evaluating the actual state of eco-tourism development regarding a given tourist destination in comparison with the three standard patterns (saturated/optimal/deficient) of development degree. The research process is as follows: Firstly, the indictors of carrying capacity of a tourist destination and the corresponding measuring factors are established; secondly, an assessment group is recruited to work out the most constraining factors among the measuring factors; thirdly, by means of field survey, numerical values of the actual state are acquired; fourthly, there comes out the membership vectors and the membership matrix of the standard patterns corresponding to the vectors of three standard patterns, threshold and the actual state; Finally, it could be identified which standard pattern that the actual state is closest to via the lattice degrees of proximity. An exemplary case study on Kanas National Nature Reserves is attached to the logic calculus. This paper is contributed to dynamically monitor the threshold of tourism carrying capacity and precisely identify which carrying capacity (spatial resource/ecological environment/economic resources/people’s psychology/socio-culture) with potential risks.
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spelling doaj.art-6a1527fe7c51488eb4fd586d54c0084f2023-11-26T13:09:36ZengNature PortfolioScientific Reports2045-23222023-10-0113111410.1038/s41598-023-41961-1Sustainable development, eco-tourism carrying capacity and fuzzy algorithm-a study on Kanas in Belt and RoadKui Yu0Han Gao1Glorious Sun School of Business and Management, Donghua UniversityCollege of Fashion and Art Design, Donghua UniversityAbstract In this paper, the method of fuzzy pattern recognition is adopted in more precisely evaluating the actual state of eco-tourism development regarding a given tourist destination in comparison with the three standard patterns (saturated/optimal/deficient) of development degree. The research process is as follows: Firstly, the indictors of carrying capacity of a tourist destination and the corresponding measuring factors are established; secondly, an assessment group is recruited to work out the most constraining factors among the measuring factors; thirdly, by means of field survey, numerical values of the actual state are acquired; fourthly, there comes out the membership vectors and the membership matrix of the standard patterns corresponding to the vectors of three standard patterns, threshold and the actual state; Finally, it could be identified which standard pattern that the actual state is closest to via the lattice degrees of proximity. An exemplary case study on Kanas National Nature Reserves is attached to the logic calculus. This paper is contributed to dynamically monitor the threshold of tourism carrying capacity and precisely identify which carrying capacity (spatial resource/ecological environment/economic resources/people’s psychology/socio-culture) with potential risks.https://doi.org/10.1038/s41598-023-41961-1
spellingShingle Kui Yu
Han Gao
Sustainable development, eco-tourism carrying capacity and fuzzy algorithm-a study on Kanas in Belt and Road
Scientific Reports
title Sustainable development, eco-tourism carrying capacity and fuzzy algorithm-a study on Kanas in Belt and Road
title_full Sustainable development, eco-tourism carrying capacity and fuzzy algorithm-a study on Kanas in Belt and Road
title_fullStr Sustainable development, eco-tourism carrying capacity and fuzzy algorithm-a study on Kanas in Belt and Road
title_full_unstemmed Sustainable development, eco-tourism carrying capacity and fuzzy algorithm-a study on Kanas in Belt and Road
title_short Sustainable development, eco-tourism carrying capacity and fuzzy algorithm-a study on Kanas in Belt and Road
title_sort sustainable development eco tourism carrying capacity and fuzzy algorithm a study on kanas in belt and road
url https://doi.org/10.1038/s41598-023-41961-1
work_keys_str_mv AT kuiyu sustainabledevelopmentecotourismcarryingcapacityandfuzzyalgorithmastudyonkanasinbeltandroad
AT hangao sustainabledevelopmentecotourismcarryingcapacityandfuzzyalgorithmastudyonkanasinbeltandroad