JIN Pingbin, FU Zhiwei, BAN Maosheng. Karst Cave Tourism System in Zhejiang Province Based on Resource Regional Analysis[J]. Chinese Geographical Science, 2012, 22(4): 496-506.
Citation: JIN Pingbin, FU Zhiwei, BAN Maosheng. Karst Cave Tourism System in Zhejiang Province Based on Resource Regional Analysis[J]. Chinese Geographical Science, 2012, 22(4): 496-506.

Karst Cave Tourism System in Zhejiang Province Based on Resource Regional Analysis

  • Publish Date: 2012-07-05
  • Karst cave tourism plays an important role in the overall tourism of Zhejiang Province, China. In analyzing the current status of karst cave tourism resources, it is crucial to develop a scientific system for optimizing resource exploitation and tourism development in the future. This study conducted an analysis of resource characteristics and regional structure in Zhejiang Province. Nearest neighbor index (NNI) method and accessibility index method were used for a comprehensive understanding of the effects of scale, strength, combination, and accessibility of karst cave tourism resources. Results indicated that karst cave tourism resources in Zhejiang Province have a significant regional influence, and that resource quality and exploitation are diverse in different regions. Among the regions, Jinhua had the highest exploitation proportion of over 60% and the lowest NNI value of 0.098. Furthermore, regional analysis inferred that different karst caves demonstrate diversity in accessibility to tourism markets, among which the Lingshan Cave, Fengshui Cave, and Xianqiao Cave reveal the highest accessibility index of 2.41. Finally, we put forward a karst cave tourism system in Zhejiang Province based on the Growth Pole Theory and set up an overall scheme for karst cave tourism development. From a regional perspective analysis, the study refined the methods for regional resource research and provided a strategic proposal for karst cave tourism in Zhejiang Province.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(1033) PDF downloads(1593) Cited by()

Proportional views
Related

Karst Cave Tourism System in Zhejiang Province Based on Resource Regional Analysis

Abstract: Karst cave tourism plays an important role in the overall tourism of Zhejiang Province, China. In analyzing the current status of karst cave tourism resources, it is crucial to develop a scientific system for optimizing resource exploitation and tourism development in the future. This study conducted an analysis of resource characteristics and regional structure in Zhejiang Province. Nearest neighbor index (NNI) method and accessibility index method were used for a comprehensive understanding of the effects of scale, strength, combination, and accessibility of karst cave tourism resources. Results indicated that karst cave tourism resources in Zhejiang Province have a significant regional influence, and that resource quality and exploitation are diverse in different regions. Among the regions, Jinhua had the highest exploitation proportion of over 60% and the lowest NNI value of 0.098. Furthermore, regional analysis inferred that different karst caves demonstrate diversity in accessibility to tourism markets, among which the Lingshan Cave, Fengshui Cave, and Xianqiao Cave reveal the highest accessibility index of 2.41. Finally, we put forward a karst cave tourism system in Zhejiang Province based on the Growth Pole Theory and set up an overall scheme for karst cave tourism development. From a regional perspective analysis, the study refined the methods for regional resource research and provided a strategic proposal for karst cave tourism in Zhejiang Province.

JIN Pingbin, FU Zhiwei, BAN Maosheng. Karst Cave Tourism System in Zhejiang Province Based on Resource Regional Analysis[J]. Chinese Geographical Science, 2012, 22(4): 496-506.
Citation: JIN Pingbin, FU Zhiwei, BAN Maosheng. Karst Cave Tourism System in Zhejiang Province Based on Resource Regional Analysis[J]. Chinese Geographical Science, 2012, 22(4): 496-506.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return