自然资源学报 ›› 2012, Vol. 27 ›› Issue (4): 661-673.doi: 10.11849/zrzyxb.2012.04.012

• 资源评价 • 上一篇    下一篇

中国市域旅游综合吸引力指数评价

沈惊宏, 陆玉麒   

  1. 南京师范大学 地理科学学院, 南京 210046
  • 收稿日期:2011-05-03 修回日期:2011-11-28 出版日期:2012-04-20 发布日期:2012-04-20
  • 作者简介:沈惊宏(1976-),男,安徽宿松人,博士,研究方向为旅游地理与区域发展。E-mail: shendili@yeah.net
  • 基金资助:

    国家自然科学基金(41071084)。

Evaluation about Composite Attraction Index of Tourism in Chinese Cities

SHEN Jing-hong, LU Yu-qi   

  1. College of Geographical Science, Nanjing Normal University, Nanjing 210046, China
  • Received:2011-05-03 Revised:2011-11-28 Online:2012-04-20 Published:2012-04-20

摘要: 论文以中国338个市域作为旅游客源地和旅游目的地,测算其旅游吸引力指数。以南京市为例,通过GIS空间可视化并分别划分出5个等级旅游目的地及旅游客源地。结果发现南京不同等级旅游目的地呈距离衰减规律,但同时出现区位跨越现象;南京旅游客源地总体上亦呈现距离衰减规律,但也出现远距离客源地等级甚至比近距离客源地等级要高的现象。笔者把吸引指数模型逆思维推演测算出了中国城市总吸引指数排名,并以可达性为基础,根据旅游目的地城市总吸引指数和旅游规模排名位序是否一致划分出中国城市旅游的发展程度现状10种类型,为城市旅游发展提供比较参考。

关键词: 旅游资源, 旅游发展, 吸引指数, 可达性, 旅游目的地, 旅游客源地

Abstract: In the paper 338 cities in China are regarded as tourism destinations and tourist markets. Using the attraction opportunity model, the author surveys the attraction index of tourism resources in the Chinese city territory, and taking Nanjing as an example, divides traveling destinations and tourist markets as 5 ranks through the GIS space visualization. The first three higher grades tourism destination cities gradually declining from centre to periphery encircle Nanjing. It proves fully that location acts basic function. The result is that the distribution of different ranks traveling destinations of Nanjing shows the weaken rule away from distance, but it presents the position spanning phenomenon. Tourist markets also are assorted as a five-rank classification. It shows most of the tourist markets of Nanjing cluster around it, and the grade declines from centre to periphery, western to eastern. But there is no strict bound among all grade tourist markets, and they interlock mutually. The phenomenon takes place in the third, the fourth, and the fifth tourism destinations. When a city's tourism size is larger than other cites around, the weaken rule away from distance will be not distinct, and the size of tourism destination will control their grade locations of tourist markets for the destination's immense attraction. Then it causes that the grade of remote tourist market is higher than the nearer one. The grades of tourist market at the two poles are few while those in the middle are many. That is to say, both the higher and lower grade tourist markets are few, and the medium grade tourist markets are many. The author evolves the model of attraction index countering thoughts to survey ranking list of attraction index in the Chinese cities, and divides it into five classifications and visualize it using GIS. The result shows that there are no clear bounds among the five classification cities. They interlace each other. But the attraction of the cities still takes on the dim outline from bigness to smallness. Basically, the most attractive cities are located in eastern and central areas. The attraction gradually becomes weak from eastern to western, from central to southern and northern. In the end, taking the accessibility of Chinese cities as the foundation, the author divides ten classifications of development degree of tourism resources in Chinese cities in terms of uniformity or not between ranking list of attraction indexes and tourist scale to contrast them for development of city tourism. The ten classification cities are fully developed tourism cities and national developed tourism cities, national developing tourism cities, national less developed tourism cities, local developed tourism cities, local developing tourism cities, local less developed tourism cities, outlying developed tourism cities and outlying developing tourism cities and outlying less developed tourism cities.

Key words: tourism resource, tourism development, attraction index, accessibility, traveling destinations, tourist market

中图分类号: 

  • F590.8