The Spatial Pattern of Ski Areas and Its Driving Factors in China: A Strategy for Healthy Development of the Ski Industry

• DOI: 10.5194/egusphere-egu2020-17217
• Publication Date: 2020-03-10T01:46:09Z
• Authors: Hongmin An; Cunde Xiao; Minghu Ding
• Keywords: Driving factors; Nearest neighbour

<p>The development of ski areas would bring socio-economic benefits to mountain regions. At present, the industry in China is developing rapidly, and number increasing dramatically. However, understanding spatial pattern driving factors for these limited. This study collected detailed data about their surrounding natural economic China. Criteria classification were proposed, a total 589 alpine classified into three types: resorts vacationing (va-ski resorts), learning (le-ski areas) parks experience skiing (ex-ski parks), with proportions 2.1%, 15.4% 82.5%, respectively, which indicated that Chinese was still dominated by small-sized areas. The overall patterns clustered nearest neighbor indicator (NNI) 0.424, ex-ski le-ski exhibited distributions NNIs 0.44 0.51, va-ski randomly distributed an NNI 1.04. theory method autocorrelation first used analyze results showed cities had positive Moran’s index value 0.25. Local Indications Spatial Association (LISA) mainly concentrated 3 regions: Beijing-centered Yanshan-Taihang Mountains Shandong Hill areas, Harbin-centered Changbai Mountain Urumqi-centered Tianshan-Altay location driven factors, latter two locations factors. Ski tourism faces many challenges. government sector should strengthen supervision, develop alliance, promote healthy sustainable future.</p>