地理学报 ›› 1999, Vol. 54 ›› Issue (4): 357-364.doi: 10.11821/xb199904008

• 论文 • 上一篇    下一篇

自然观光旅游地客源市场的空间结构研究——以九寨沟及比较风景区为例

张捷, 都金康, 周寅康, 张思彦, 潘冰   

  1. 南京大学城市与资源学系,江苏南京210093
  • 收稿日期:1998-10-23 修回日期:1999-01-15 出版日期:1999-07-15 发布日期:1999-07-15
  • 基金资助:
    国家自然基金资助项目(49571031)

Spatial Structure of Tourist Source Areas for the Naturally Scenic Sightseeing Places:A Case Study of Jiuzhaigou

ZHANG Jie, DU Jin kang, ZHOU Yin kang, ZHANG Si yan, PAN Bing   

  1. Department of Urban and Resources, Nanjing University, Nanjing 210093
  • Received:1998-10-23 Revised:1999-01-15 Online:1999-07-15 Published:1999-07-15
  • Supported by:
    National Natural Science Foundation of China,No.49571031

摘要: 本文以九寨沟及比较风景区为例,以游客距离衰减模式和多种距离累计曲线揭示了观光旅游地客源市场空间结构整体特征和空间距离分异特征。论文论证了九寨沟游客距离衰减曲线以Pareto模型为最佳,并推算了不同市场范围及不同模式的距离衰减指数;通过多种距离累计曲线有效地揭示游客群入游行为及相关市场潜力等背景的空间结构特征。

关键词: 距离衰减, 距离累计曲线, 空间结构, 旅游客源市场

Abstract: The spatial structure of the source or market areas of tourists is basic to tourist geography. Although there are case studies on such issues as mathematical modeling of distance decay of tourists from a tourist site, its market potential and actual market structure, many questions remain. Take tourist distance decay for example. Whereas hypothetical theoretical curves have been suggested, no basic mathematical model based on case studies exists. In addition, the application of distance cumulative curve in tourist research is still limited to descriptions of the actual distribution of tourists, which is ineffective in analyzing the spatial structure of tourist market potential. Jiuzhaigou Conservation District, one of China’s most picturesque tourist areas with numerous colorful lakes and waterfalls, is recognized by UNESCO as one of the world’s natural heritage sites. Distance decay model is used to reveal the characteristics of its market area structure. Several types of distance cumulative curve are also used to reveal its market structure at varying distances from the site. A sample of more than 16 000 tourists was obtained from entrance registration which shows the they come from 235 cities and counties. Through regression analysis we calculated the main coefficients of the distance decay model and found that the best fit model is the Pareto model with a distance decay exponent of 0 48. The next best are the lognormal model and square root exponential model, while the normal model is unfit. As the relative coefficients of these models are not high enough, we used the gravity model to analyze distance decay versus the influence of population and economic growth. The result shows a distance decay exponent of 1.84 and a clear increase in relative coefficient to 0 70. Gravity model was also used to better understand how the sampled tourists declined proportionally with increasing distance from the site. The result shows the distance decay exponents range between 1 74 and 1 92. When per capita industrial and agricultural output is replaced with total industrial and agricultural output of cities and counties, the exponents range between 2 5 and 3 0. This study demonstrates that the several distance cumulative curves of the market areas of the site and the population of the market areas can be effectively used to analyze the spatial structure of the site’s ultimate market area potentials.

Key words: distance decay, distance cumulative curve, spatial structure, tourist market

中图分类号: 

  • F592.99