Special Issue of "Innovative Development of Ice and Snow Resources for the 2022 Winter Olympics"
WANG Chu, LU Chang-bao, BA Duo-xun, MA Bin-bin, QIN Ze-qing
Based on the Baidu index data, the spatio-temporal evolution characteristics and influencing factors of the 26 representative ski resorts in the Chinese mainland were analyzed by using index measurement, spatial geographical analysis, regression model and geographic detector in 2011-2019. The results show that: (1) In terms of temporal evolution, the network attention first increased and then decreased, and gradually stabilized. 2015 and 2016 are the peak years, with obvious seasonal differences. There are two fluctuation peaks, and the distribution pattern is "single peak in the north and south, and double peaks in the middle and east". (2) In terms of spatial characteristics, the national and regional characteristics were first increasing and then decreasing, and the regional differences were significant. The degree of variation first decreased and then increased, and tended to be stable. The national distribution was relatively stable and balanced, and the regional distribution showed the characteristics of unstable agglomeration. The overall distribution of cold and hot spots at the provincial level showed a pattern of "hot in the northeast, but cold in the southwest", and the hierarchical change was mainly stable. (3) As for ski resort, the overall preference level changed greatly, the high preference remained stable and leading, and the other levels mainly changed downward. The classification of cold and hot spots in ski resorts showed a pattern of "hot in the north and cold in the south", and the evolution of the two hot spots in Northeast and North China was relatively stable. (4) In terms of influencing factors, the order of demand side is ski consumption attraction > education background > economic development level > informatization level > ski resort construction level. The proportion of ski trips, ski economic contribution, passenger carrying capacity, abundance of ice and snow tourism resources and the construction level of official media on the supply side have strong explanatory power, and the influence of other factors is not significant.