scholarly journals Spatial Patterns of China’s Ski Resorts and Their Influencing Factors: A Geographical Detector Study

2021 ◽  
Vol 13 (8) ◽  
pp. 4232
Author(s):  
Yan Fang ◽  
Yiyi Jiang ◽  
Chin-Hsun Ken Tsai ◽  
Binghao Luo ◽  
Ming-Hsiang Chen

This study uses geographic information systems (GIS) and geographical detector techniques to explore the national and regional pattern of the spatial distribution of China’s ski resorts, and quantitatively identifies the main factors that influence their location. Results show that although China’s ski areas are geographically clustered, ski resorts are more likely to be located at high latitudes (northeast and northwest China) than at low latitudes (central and south China). Among the most influential factors are the winter sporting mega-events that explain 70% of the location of China’s ski areas; the 2022 Winter Olympics accounted for 14%. The main factors that contribute to the distribution of ski areas depend on the regions and types of ski resorts. Implications for the ski resorts industry, such as the different practice for hot and cold spot areas of China’s ski resorts, and the future development direction of ski industry, are discussed.

2020 ◽  
Author(s):  
Hongmin An ◽  
Cunde Xiao ◽  
Minghu Ding

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


2019 ◽  
Vol 11 (11) ◽  
pp. 3138 ◽  
Author(s):  
Hongmin An ◽  
Cunde Xiao ◽  
Minghu Ding

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


2021 ◽  
Vol 251 ◽  
pp. 01008
Author(s):  
Yuyan Wang

As the living standard increased, more and more people join this sport. The rapid development of skiing equipment and ski resorts stimulates multiple people to experience skiing. This paper analyzes the current situation and development of the ski industry in China. Based on the case study, the author analyzes the prospect and provides suggestions in the end for ski companies.


2016 ◽  
Author(s):  
Pierre Spandre ◽  
Hugues François ◽  
Emmanuel Thibert ◽  
Samuel Morin ◽  
Emmanuelle George-Marcelpoil

Abstract. The production of Machine Made (MM) snow is now generalized in ski resorts and represents the most common adaptation method to mitigate the impacts of both the natural variability and projected changes of the climate on the snow conditions to guarantee suitable conditions for skiing. Most investigations of the impact of snow conditions on the economy of the ski industry under past, present or projected climate focus on the production of MM snow. So far, none of them accounted for the efficiency of the snowmaking process i.e. the actual MM snow mass that can be recovered from a given water mass used for snowmaking. The present study consisted in observations and interpolation on a 0.5 × 0.5 m grid of snow conditions (depth and mass) using a Differential GPS method and snow density coring, after single sessions of production (prior to MM snow spreading by grooming machines) and on the ski slope as opened to skiers, on a beginner trail in Les Deux Alpes ski resort (French Alps). A detailed physically based snowpack model accounting for grooming and snowmaking was used to address the seasonal evolution of the snowpack and compared to the observations. Our results show that approximately 30 % of the water mass can be recovered as MM snow within 10 m from the center of a MM snow pile after the production and 50 % within 20 m. The observations and simulations on the ski slope were relatively consistent with 60 % (±10 %) of the water mass used for snowmaking within the edge of the ski slope. We also addressed the losses due to thermodynamic effects resulting in less than 10 % of the total water mass in the present case. The main uncertainty pertains to the surface of observations: the surface of the ski slope opened to skiers changed along the season and objective uncertainties exist, in particular from man-made decisions. These results suggest that even in the ideal conditions for production a significant fraction of the water used for snowmaking can not be found as MM snow within the edge of the ski slope with most of the lost fraction of water due to site dependent characteristics (e.g. meteorological conditions, topography, human decisions).


2021 ◽  
Author(s):  
Hengshuo Zhang ◽  
Tonggang Zha ◽  
Xiaodong Ji ◽  
Yang Yu ◽  
Jesús Rodrigo-Comino

Abstract BackgroundThe Yin Mountains located in China within the Chongli Country will be the core area of the 2022 Winter Olympic Games. It is necessary to survey the key factors limiting the vegetation communities’ development so as to guide the vegetation restoration after major events in this region.MethodsTwo-way indicator species analysis (TWINSPAN) and market basket analysis (MBA) were used to classify the vegetation communities. Plant community and relationships among environmental variables were assessed through the detrended correspondence (DCA) and canonical correspondence (CCA) analyses.ResultsSoil moisture and organic matter were found the main factors limiting the development of shrub and herb communities. The distribution of different forest communities was mainly affected by geomorphological factors. In middle and high altitude areas, apart of arbor and shrub communities generally showed the process of transformation from the pioneer community to transitional community in the competition.ConclusionWe concluded that providing the basis to understand the environmental factors that restrict the development of vegetation communities in the eastern Yin Mountains and its potential changes after human impacts, in this case, the Winter Olympic Games, could help to more efficient restoration plans.


2019 ◽  
Vol 13 (8) ◽  
pp. 2149-2167 ◽  
Author(s):  
Jie Deng ◽  
Tao Che ◽  
Cunde Xiao ◽  
Shijin Wang ◽  
Liyun Dai ◽  
...  

Abstract. The successful bid for the 2022 Winter Olympics (Beijing 2022, officially known as the XXIV Olympic Winter Games) has greatly stimulated Chinese enthusiasm towards winter sports participation. Consequently, the Chinese ski industry is rapidly booming due to enormous market demand and government support. However, investing in ski areas in unreasonable locations will cause problems from an economic perspective (in terms of operation and management) as well as geographical concerns (such as environmental degradation). Therefore, evaluating the suitability of a ski area based on scientific metrics has become a prerequisite for the sustainable development of the ski industry. In this study, we evaluate the locational suitability of ski areas in China by integrating their natural and socioeconomic conditions using a linearly weighted method based on geographic information system (GIS) spatial analysis combined with remote sensing, online, and field survey data. The key indexes for evaluating natural suitability include snow cover, air temperature, topographic conditions, water resources, and vegetation, whereas socioeconomic suitability is evaluated based on economic conditions, accessibility of transportation, distance to a tourist attraction, and distance to a city. As such, metrics ranging from 0 to 1 considering both natural and socioeconomic conditions are used to define a suitability threshold for each candidate region for ski area development. A ski area is considered to be a dismal prospect when the locational integrated index is less than 0.5. The results show that 84 % of existing ski areas are located in areas with an integrated index greater than 0.5. Finally, corresponding development strategies for decision-makers are proposed based on the multicriteria metrics, which will be extended to incorporate potential influences from future climate change and socioeconomic development. However, the snowmaking model with local data should to be used to further analyze the suitability for a specific ski area.


2019 ◽  
Vol 11 (17) ◽  
pp. 4752 ◽  
Author(s):  
Zhou ◽  
Zhen ◽  
Wang ◽  
Xiong

The poverty-stricken counties in China follow a spatial pattern of regional poverty. Examining the influential factors of this spatial pattern can provide an important reference that can guide China in its implementation of a poverty alleviation policy. By applying a geographical detector and using a sample of poverty-stricken counties in China, this study explores the spatial relationship of county distribution with spatial influential factors, including terrain relief, cultivated land quality, water resource abundance, road network density, and the locational index. These poverty-stricken counties are then classified, and the main factors that restrict their economic development are determined. The results highlight that the selected poverty-stricken counties suffer a severe condition in each of the spatial factors mentioned above. Most of these counties are classified under the location index, terrain relief, and road network density constraint types. Each of the aforementioned spatial influential factors has unique controlling mechanisms on the distribution of these poverty-stricken counties. Most of these counties are constrained by two or multiple spatial influential factors, except for some counties located in South and Central China, which are mainly constrained by a single spatial influential factor. Therefore, these single factor-constrained poverty-stricken counties warrant more attention when a developmental policy for poverty alleviation is to be implemented. The various aspects of poverty-stricken counties constrained by multiple factors must be comprehensively considered with a special focus on their development. The differentiated policies must be designed for these poverty-stricken counties on the basis of their spatial influential factors.


Author(s):  
Dr. Simon Hudson ◽  
Louise Hudson

The opening Spotlight focuses on Slovenia’s emerging ski industry, and Eastern Europe is one of the few parts of the world where the ski industry is growing. Countries like Bulgaria, Russia and Poland, have joined Slovenia in taking advantage of the increased interest in winter sports following the 2014 Winter Olympic Games held in Sochi. China, too, is rapidly expanding its ski industry (see the Case Study in Chapter 1), with plans to open up 250 new ski centers in Heilongjiang province alone in the next decade. Ski resorts are certainly popping up in some unlikely places. In 2014, the Masikryong Ski Resort in North Korea opened up, to the delight of young dictator Kim Jong Un. The winter wonderland is just one of Mr. Kim’s tourism projects, as he has instructed state companies to boost numbers of foreign tourists from 200,000 a year to 1 million by 2016 (The Economist, 2014). The 1,400-hectare Masikryong resort sits at an altitude of 768m, and is said to have cost the regime $35 million. The resort says it wants to attract 5,000 people daily, which might be a challenge, given that barely a few thousand North Koreans know how to ski. In North America, the industry remains in a phase of maturity, characterized by increased consolidation and diversification. But looking back on the last few decades, there have been some significant changes in the industry in that part of the world. Table 12.1 puts a spotlight on the U.S. winter sport tourism environment in the years 1994 and 2014, showing that while overall skier/rider visits have not changed in 20 years, the composition of those on the slopes has. The number of downhill skiers on the slopes has dropped, while that of snowboarders has more than doubled. More females are participating in both activities, and participants tend to be older than they were 20 years ago. Perhaps of concern is a substantial drop in the number of lessons being taken today compared to 20 years ago, implying there might be fewer beginners taking to the slopes. Certainly, in the U.K. there are concerns that the poor performance of the schools market will have a negative impact on the number of new entrants to the sport.


2021 ◽  
Author(s):  
Xiao Ma ◽  
Jiong-yuan Li ◽  
SHI GERU ANDD ◽  
Ying-fang Ao ◽  
Yu-ping Yang

Abstract Background: More researches should be needed on injuries at ski resorts in Chongli, one of the sites of the 2022 Winter Olympics.Hypothesis: In Chinese ski resorts, injury accidents should be more frequent, and the injured body parts may be related to the protective clothingMethods: In this retrospective study, injuries at ski resorts in Chongli, China and Japan were analyzed to provide a reference for the ongoing injury prevention work at ski resorts. We collected data [see Additional file 1] on injuries at Wanlong and Fulong Ski Resort in Chongli during the 2017–2018 and 2018–2019 ski seasons. We referred to the ski injury report issued in February 2020 by the Japan Ski Safety Association [see Additional file 2]. The causes of and specific body parts involved in the injuries at both the Chinese and Japanese ski resorts were analyzed.Results: During the 2019–2020 ski season at the Japanese ski resorts, 0.93 injuries occurred per 10,000 skiers, and older skiers constituted a larger proportion of those injured, with 227 (8.6%) aged over 60 years. The knee joint was the most commonly injured body part among both Chinese and Japanese skiers, whereas shoulder joint injury was the most prevalent among snowboarders. Conclusion: The two Chongli ski resorts had a higher injury rate than the Japanese ski resorts. Medical treatment should focus more on older skiers, and helmet use requires urgent promotion


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