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Int. J. Environ. Res. Public Health 2019, 16(2), 186; https://doi.org/10.3390/ijerph16020186

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

1
Northeast Asia Leisure Economy Research Center, The Tourism College of Changchun University, Changchun 130607, China
2
School of Environment, Northeast Normal University, Changchun 130024, China
*
Author to whom correspondence should be addressed.
Received: 4 December 2018 / Revised: 6 January 2019 / Accepted: 7 January 2019 / Published: 10 January 2019
(This article belongs to the Special Issue IJERPH: 15th Anniversary)
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Abstract

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. View Full-Text
Keywords: winter tourism; climate change; snow abundance index; meteorological suitability index; copula function; spatial suitability assessment winter tourism; climate change; snow abundance index; meteorological suitability index; copula function; spatial suitability assessment
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Cai, W.; Di, H.; Liu, X. Estimation of the Spatial Suitability of Winter Tourism Destinations Based on Copula Functions. Int. J. Environ. Res. Public Health 2019, 16, 186.

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