Collect ｜ Homepage Advertisement ｜ Contact us ｜ Message
Adv. search

Arid Land Geography >

2024 , Vol. 47 >Issue 8: 1399 - 1410

DOI: https://doi.org/10.12118/j.issn.1000-6060.2024.120

Regional Development

Spatial distribution pattern and causes of ice and snow tourism in China

  • ZHU Lei ,
  • LI Yannan ,
  • XU Jiahui ,
  • HU Jing ,
  • ZHU Fang ,
  • LIANG Mangmang
Expand
  • 1. School of Resources and Environment, Anqing Normal University, Anqing 246133, Anhui, China
    2. College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, Hubei, China
    3. Wuhan Branch of China Tourism Academy, Wuhan 430079, Hubei, China

Received date: 2024-02-26

  Revised date: 2024-03-22

  Online published: 2024-09-02

Fold

Abstract

Ski resorts play a significant role in ice and snow tourism. Focusing on ski resorts in China, this paper systematically explores their spatial distribution patterns and underlying causes using various spatial analysis techniques. The results indicate the following: (1) Ski resorts in China exhibit a condensed distribution trend, following a “northeast-southwest” axis roughly along the “Beijing-Zhengzhou-Chongqing” line. (2) The spatial structure of national ski resorts is characterized by “one pole, one core area, one belt” with the Beijing-Tianjin-Hebei region as the development pole, the Yangtze River Delta as the development core, and the three northeastern provinces forming a high-density development belt. (3) The hotspots of national ski resorts are concentrated in Northeast China, with Liaoning Province, Jilin Province, Heilongjiang Province, Beijing City, and Hebei Province being the most active in ski resort development. (4) The human factors influencing the spatial distribution of ski resorts, in descending order of impact, are industrial support and guidance, living standards, market cultivation and development, tourism economic income effect, transportation capacity, and hardware service support. Naturally, ski resorts tend to be located in low mountains ranging from 500 m to 800 m above sea level, within a 10 km buffer zone of third-class rivers, and in the temperate monsoon climate zone.

Key words： ski resort; spatial distribution pattern; influencing factors; Geodetector; China

Cite this article

ZHU Lei , LI Yannan , XU Jiahui , HU Jing , ZHU Fang , LIANG Mangmang . Spatial distribution pattern and causes of ice and snow tourism in China[J]. Arid Land Geography, 2024 , 47(8) : 1399 -1410 . DOI: 10.12118/j.issn.1000-6060.2024.120

References

[1] 韩元军. 中国冰雪旅游发展报告(2023)[R]. 北京: 中国旅游研究院, 2023.
  [Han Yuanjun. Snow and ice tourism development report of China(2023)[R]. Beijing: China Tourism Academy, 2023.]
[2] Alexandris K, Kouthouris C, Meligdis A. Increasing customers’ loyalty in a skiing resort: The contribution of place attachment and service quality[J]. International Journal of Contemporary Hospitality Management, 2006, 18(5): 414-425.
[3] Matzler K, Siller H J. Linking travel motivations with perceptions of destinations: The case of youth travelers in Alpine summer and winter tourism[J]. Tourism Review, 2003, 58(4): 6-11.
[4] 王储, 卢长宝, 把多勋, 等. 中国代表性滑雪场网络关注度时空演变及影响因素[J]. 自然资源学报, 2022, 37(9): 2367-2386.
  [Wang Chu, Lu Changbo, Ba Duoxun, et al. Spatio-temporal evolution and influencing factors of network attention of representative ski resorts in China[J]. Journal of Natural Resources, 2022, 37(9): 2367-2386.]
[5] 张弛, 常晨, 杨毕宣, 等. 北京冬奥会高山滑雪赛道测风数据研究[J]. 气象水文海洋仪器, 2023, 40(1): 8-11.
  [Zhang Chi, Chang Chen, Yang Bixuan, et al. Research on wind measurement data of alpine skiing track in Beijing Winter Olympic Games[J]. Meteorological, Hydrological and Marine Instruments, 2023, 40(1): 8-11.]
[6] 刘卉. 科技助力我国越野滑雪项目突破: 新理念、新方法、新思路——《越野滑雪科学化训练理论与实践》述评[J]. 北京体育大学学报, 2022, 45(12): 153-156.
  [Liu Hui. Breakthroughs in cross-country skiing events facilitated by science and technology: New ideas, new methods and new ideas: Review of scientific training theory and practice of cross-country skiing[J]. Journal of Beijing Sport University, 2022, 45(12): 153-156.]
[7] 魏德样, 雷雯. 中国滑雪旅游信息流特征及市场开发策略研究——基于百度指数的分析[J]. 北京体育大学学报, 2022, 45(7): 82-94.
  [Wei Deyang, Lei Wen. Research on the characteristics of ski tourism information flow and market development strategy in China: An analysis based on Baidu index[J]. Journal of Beijing University of Sport, 2022, 45(7): 82-94.]
[8] 吴志海. 我国滑雪市场滑雪设备和滑雪装备的调查研究——以沈阳市滑雪场为例[J]. 吉林体育学院学报, 2015, 31(6): 41-43, 56.
  [Wu Zhihai. The study on ski facilities and ski equipments of the ski resorts in our country: Taking Shenyang ski resort as an example[J]. Journal of Jilin University of Physical Education, 2015, 31(6): 41-43, 56.]
[9] 梁彩荣, 李淑媛, 杨莹. 基于扎根理论的滑雪游客满意度影响因素概念模型建构——以中国十大滑雪场为例[J]. 体育科技文献通报, 2023, 31(1): 177-180.
  [Liang Cairong, Li Shuyuan, Yang Ying. Conceptual model development of influential factors of ski tourist satisfaction based on Grounded Theory: China’s top ten ski resort[J]. Sports Science and Technology Literature Bulletin, 2023, 31(1): 177-180.]
[10] 路来冰, 杨少雄, 陈薇. 基于网络文本的我国滑雪场形象感知研究——以京津冀与东北三省为例[J]. 吉林体育学院学报, 2023, 39(1): 92-101.
  [Lu Laibing, Yang Shaoxiong, Chen Wei. Research on image perception of ski resorts in China based on network text: Take Beijing-Tianjin-Hebei and the three northeastern provinces as an example[J]. Journal of Jilin University of Physical Education, 2023, 39(1): 92-101.]
[11] 胡良平, 骆秉全, 张晚萌. 2022冬奥会背景下北京区域居民参与冰雪运动消费调查[J]. 地理科学, 2021, 41(12): 2117-2126.
  [Hu Liangping, Luo Bingquan, Zhang Wanmeng. Research on the consumption of Beijing area residents participating in ice and snow sports under the background of the 2022 Winter Olympics[J]. Scientia Geographica Sinica, 2021, 41(12): 2117-2126.]
[12] 王金伟, 郭嘉欣, 刘乙, 等. 中国滑雪场空间分布特征及其影响因素[J]. 地理研究, 2022, 41(2): 390-405.
  [Wang Jinwei, Guo Jiaxin, Liu Yi, et al. Spatial distribution characteristics and influencing factors of ski resorts in China[J]. Geographical Research, 2022, 41(2): 390-405.]
[13] 何乾军, 肖仕才, 赵磊. 基于MaxEnt分析的体旅融合视域下我国南方室外滑雪场选址主要影响因素及适宜性研究[J]. 体育科技文献通报, 2023, 31(5): 198-202.
  [He Ganjun, Xiao Shicai, Zhao Lei. A study on main influencing factors and suitability of site selection of outdoor ski resorts in southern China in the context of sports-toursim fusion-based on MaxEnt analysis[J]. Bulletin of Sport Science and Technology, 2023, 31(5): 198-202.]
[14] 李颖, 朱天龙, 姚冰, 等. 近20年北京和张家口地区滑雪场发展及其空间分布特征[J]. 经济地理, 2022, 42(1): 191-198.
  [Li Ying, Zhu Tianlong, Yao Bing, et al. The development and spatial distribution characteristics of ski resorts in Beijing and Zhangjiakou in recent 20 years[J]. Economic Geography, 2022, 42(1): 191-198.]
[15] 白铂. 滑雪旅游度假地高质量发展动力机制及推进路径——基于行动者网络视角[J]. 体育文化导刊, 2023(3): 91-97.
  [Bai Bo. Dynamic mechanism and promotion path of hgh-quality development of ski tourism resort: Based on the perspective of actor network[J]. Sports Culture Guide, 2023(3): 91-97.]
[16] 亓顺红, 王敏, 李娟, 等. 滑雪旅游服务高质量供给路径与策略: 一项滑雪游客忠诚度影响因素的实证研究[J]. 山东体育学院学报, 2023, 39(5): 70-79.
  [Qi Shunhong, Wang Min, Li Juan, et al. Path and strategies for the high-quality supply of ski tourism services: An empirical study of factors influencing skis’ loyalty[J]. Journal of Shandong Sport University, 2023, 39(5): 70-79.]
[17] 朱磊, 李燕楠, 胡静, 等. 中国最美休闲乡村时空格局演化及其影响因素研究[J]. 农业资源与环境学报, 2022, 39(5): 1049-1058.
  [Zhu Lei, Li Yannan, Hu Jing, et al. Study on spatiotemporal pattern evolution and its influences on the most beautiful leisure villages in China[J]. Journal of Agricultural Resources and Environment, 2022, 39(5): 1049-1058.]
[18] 朱磊, 李燕楠, 胡静, 等. 中国研学实践基地空间格局的多尺度特征及影响机理研究[J]. 干旱区地理, 2023, 46(4): 625-635.
  [Zhu Lei, Li Yannan, Hu Jing, et al. Multi-scale characteristics and influencing mechanism of spatial pattern on research and practice bases in China[J]. Arid Land Geography, 2023, 46(4): 625-635.]
[19] 王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116-134.
  [Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1): 116-134.]
[20] 朱磊, 李燕楠, 胡静, 等. 国家森林公园空间分布格局及其影响因素研究[J]. 干旱区地理, 2022, 45(2): 389-400.
  [Zhu Lei, Li Yannan, Hu Jing, et al. Study on spatial distribution pattern of national forest parks and its influencing factors[J]. Arid Land Geography, 2022, 45(2): 389-400.]
[21] 夏江涛, 刘奔越, 左逸帆. 广东省体育旅游资源空间分异、影响因素及开发路径[J]. 体育学刊, 2023, 30(3): 76-83.
  [Xia Jiangtao, Liu Benyue, Zuo Yifan. Spatial differentiation, influencing factors and development paths of sports tourism resources in Guangdong Province[J]. Journal of Physical Education, 2023, 30(3): 76-83.]
[22] 朱磊, 胡静, 许贤棠, 等. 中国旅游扶贫地空间分布格局及成因[J]. 中国人口·资源与环境, 2016, 26(11): 130-138.
  [Zhu Lei, Hu Jing, Xu Xiantang, et al. Spatial distribution pattern and formation of pro-poor tourism pilot villages in China[J]. China Population, Resources and Environment, 2016, 26(11): 130-138.]
[23] 陈刚, 吴清, 杨俭波, 等. 中国国家森林乡村的空间分布特征与影响因素[J]. 经济地理, 2021, 41(6): 196-204.
  [Cheng Gang, Wu Qing, Yang Jianbo, et al. Spatial distribution characteristics and influencing factors of China national forest villages[J]. Economic Geography, 2021, 41(6): 196-204.]
Options
Outlines

/

〈 〉