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

Int J Environ Res Public Health. 2019 Jan 10;16(2):186. doi: 10.3390/ijerph16020186.


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.

Keywords: climate change; copula function; meteorological suitability index; snow abundance index; spatial suitability assessment; winter tourism.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Climate Change
  • Environmental Monitoring
  • Meteorology / statistics & numerical data
  • Models, Statistical*
  • Seasons*
  • Snow
  • Travel / statistics & numerical data*
  • Weather