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Estimation of the Spatial Suitability of Winter Tourism Destinations Based on Copula Functions

Climate and weather are important factors that determine winter tourism destinations and snow resources and temperature affect the income of the winter tourism industry. Against the background of climate change, abnormal fluctuations in climate elements bring a series of challenges for winter touris...

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Detalles Bibliográficos
Autores principales: Cai, Weiying, Di, Hui, Liu, Xingpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352233/
https://www.ncbi.nlm.nih.gov/pubmed/30634636
http://dx.doi.org/10.3390/ijerph16020186
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author Cai, Weiying
Di, Hui
Liu, Xingpeng
author_facet Cai, Weiying
Di, Hui
Liu, Xingpeng
author_sort Cai, Weiying
collection PubMed
description Climate and weather are important factors that determine winter tourism destinations and snow resources and temperature affect the income of the winter tourism industry. Against the background of climate change, abnormal fluctuations in climate elements bring a series of challenges for winter tourism and cause potential losses to the tourism industry. To effectively assess and plan winter tourism destinations, this study establishes the snow abundance and meteorological suitability indices from snow resource and weather conditions to express winter tourism resources, respectively. The coupling relationship of the two indices was used to analyze the spatial suitability of winter tourism destinations based on the copula function. By case analysis, it was found that the Frank copula one is the best fitting function for winter tourism suitability analysis. The Yushu–Jiutai–Yitong–Dongliao line is the boundary of spatial suitability in the study area. The eastern areas of the boundary have great potential for winter tourism and could strive to develop ice-snow projects, whereas the western regions are relatively weak. This study has guiding significance for winter tourism destination development and resource spatial layout.
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spelling pubmed-63522332019-02-01 Estimation of the Spatial Suitability of Winter Tourism Destinations Based on Copula Functions Cai, Weiying Di, Hui Liu, Xingpeng Int J Environ Res Public Health Article Climate and weather are important factors that determine winter tourism destinations and snow resources and temperature affect the income of the winter tourism industry. Against the background of climate change, abnormal fluctuations in climate elements bring a series of challenges for winter tourism and cause potential losses to the tourism industry. To effectively assess and plan winter tourism destinations, this study establishes the snow abundance and meteorological suitability indices from snow resource and weather conditions to express winter tourism resources, respectively. The coupling relationship of the two indices was used to analyze the spatial suitability of winter tourism destinations based on the copula function. By case analysis, it was found that the Frank copula one is the best fitting function for winter tourism suitability analysis. The Yushu–Jiutai–Yitong–Dongliao line is the boundary of spatial suitability in the study area. The eastern areas of the boundary have great potential for winter tourism and could strive to develop ice-snow projects, whereas the western regions are relatively weak. This study has guiding significance for winter tourism destination development and resource spatial layout. MDPI 2019-01-10 2019-01 /pmc/articles/PMC6352233/ /pubmed/30634636 http://dx.doi.org/10.3390/ijerph16020186 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cai, Weiying
Di, Hui
Liu, Xingpeng
Estimation of the Spatial Suitability of Winter Tourism Destinations Based on Copula Functions
title Estimation of the Spatial Suitability of Winter Tourism Destinations Based on Copula Functions
title_full Estimation of the Spatial Suitability of Winter Tourism Destinations Based on Copula Functions
title_fullStr Estimation of the Spatial Suitability of Winter Tourism Destinations Based on Copula Functions
title_full_unstemmed Estimation of the Spatial Suitability of Winter Tourism Destinations Based on Copula Functions
title_short Estimation of the Spatial Suitability of Winter Tourism Destinations Based on Copula Functions
title_sort estimation of the spatial suitability of winter tourism destinations based on copula functions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352233/
https://www.ncbi.nlm.nih.gov/pubmed/30634636
http://dx.doi.org/10.3390/ijerph16020186
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AT dihui estimationofthespatialsuitabilityofwintertourismdestinationsbasedoncopulafunctions
AT liuxingpeng estimationofthespatialsuitabilityofwintertourismdestinationsbasedoncopulafunctions