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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6352233 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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