Northeast Asia Leisure Economy Research Center, The Tourism College of Changchun University, Changchun 130607, China.
School of Environment, Northeast Normal University, Changchun 130024, China.
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.
气候和天气是决定冬季旅游目的地的重要因素，雪资源和温度影响冬季旅游业的收入。在气候变化的背景下，气候要素的异常波动给冬季旅游带来了一系列挑战，给旅游业造成潜在损失。为了有效评估和规划冬季旅游目的地，本研究分别从雪资源和天气条件两个方面建立了雪量和气象适宜性指数，以表达冬季旅游资源。利用两个指数的耦合关系，基于 copula 函数对冬季旅游目的地的空间适宜性进行分析。通过案例分析发现，Frank copula 函数是最适合冬季旅游适宜性分析的函数。玉树-九台-伊通-东辽线是研究区空间适宜性的边界。边界的东部地区具有很大的冬季旅游潜力，可以努力发展冰雪项目，而西部地区则相对较弱。本研究对冬季旅游目的地发展和资源空间布局具有指导意义。
