地理科学 ›› 2006, Vol. 26 ›› Issue (5): 622-628.doi: 10.13249/j.cnki.sgs.2006.05.622

• 论文 • 上一篇    下一篇

中国城市居民出游潜力的空间分异格局

史春云1,2, 张捷1, 尤海梅2, 单勇兵2, 章锦河3   

  1. 1. 南京大学城市与资源学系, 江苏 南京 210093;
    2. 徐州师范大学城市与环境 学院, 江苏 徐州 221116;
    3. 安徽师范大学国土资源与旅游学院, 安徽 芜湖 241000
  • 收稿日期:2005-10-26 修回日期:2006-04-19 出版日期:2006-09-20 发布日期:2006-09-20
  • 基金资助:
    国家自然科学基金项目(40371030)、江苏省高校人文社科基金项目(03SJD790004)资助。

Spatial Disparities of Latent Emissiveness of Urban Residents in China

SHI Chun-Yun1,2, ZHANG Jie1, YOU Hai-Mei2, SHAN Yong-Bing2, ZHANG Jin-He3   

  1. 1. Department of Urban and Resources Sciences, Nanjing University, Nanjing, Jiangsu 210093;
    2. School of Urban and Environmental Sciences, Xuzhou Normal University, Xuzhou, Jiangsu 221116;
    3. College of National Territorial Resources and Tourism, Anhui Normal University, Wuhu, Anhui 241000
  • Received:2005-10-26 Revised:2006-04-19 Online:2006-09-20 Published:2006-09-20

摘要: 基于城市不仅是重要的旅游目的地,也是目前中国主要的旅游客流产生地,以中国国内旅游抽样调查资料中的39个城市为空间单元,选取18项指标,运用SPSS统计分析软件,对中国城市居民的潜在出游力进行主成分和聚类分析,得到中国城市居民出游潜力的回归模型,进一步分析结果表明:① 城市经济实力、城市规模辐射、城市规模集聚、城市人口素质等是影响城市居民出游潜力的四个主要因子;② 中国城市居民潜在出游力的空间分异格局为"四、三、二、四",即39个城市可以划分为四种类型,存在北京、上海、广深三个极点,沿海与内陆两大城市居民出游潜力空间分异带,环渤海、长江三角洲、珠江三角洲、成渝四大游客流产地;③ 经过与城市居民的实际出游力进行相关分析,模型得到了充分验证。城市居民整体出游力空间分异格局的研究对旅游目的地的营销、各地旅游业的发展具有重要意义。

Abstract: Tourism and traveling behavior happens between destination and origin. The competition between different tourist destinations manifests itself in the contest for tourists from different origin regions. Reviews of relevant literatures reveal that most of the studies undertaken have been mainly focused on tourist destinations, and till now little attention has been paid to origin regions. However, it is of great significance to understand the spatial pattern of the integrative emissiveness of residents in different origin regions for the promoting and marketing of tourist destinations and the development of the tourism industry. Cities are not only important destinations, but also main tourist origin regions. Both domestic tourism receipts and capita expenditure suggest that urban residents are important tourists in the present China. Therefore 39 cities in the Spot Check of Chinese National Tourism are chosen as spatial units in this study. The methods such as principal component analysis, cluster analysis and correlation analysis are used mainly in the research. Based on the statistical data and the SPSS analytical software, spatial disparities of latent emissiveness of urban residents in China are discovered by using 18 indexes. Firstly, urban economy, urban diffusion impact, urban agglomeration impact and urban population quality are main factors relevant to the tourism latent emissiveness of urban residents. Secondly, according to the results, the capacity of the latent emissiveness of 39 cities can be divided into four types, from the strongest to the weakest respectively. Moreover, urban residents in coastal zones are more inclined to go traveling than those dwelled in inland zones. There exist three apices that have strongest latent emissiveness, i.e. Beijing, Shanghai and Guangzhou-Shenzhen. Bohai Sea Rim, Changjiang Delta, Zhujiang Delta and Chengdu-Chongqing area are found to be four important tourist generating regions in China. Then the model is well testified by the actual emissive ratio of these cities. Conclusion can be drawn that latent emissiveness is stable generally influenced by urban integrative characteristics while actual emissiveness is unstable likely to be influenced by exceptional events. However the actual emissiveness can be viewed as indicator of the latent emissiveness in term of the significant relevant relation being found between them. Two issues which we have difficulty in accounting for at present are put forward so as to settle in the near future. First, latent emissivenesses of Shanghai and Xi’an are quite different from their actual emissivenesses. The actual emissivenesses of residents in Shanghai from 1999 to 2002 kept low while the actual emissivenesses in Xi’an kept the first in the country during this period. Second, tourism emissivenesses in rural areas are not dealt with in this paper due to the length. With the development of the rural areas, it will be of necessity to give the enough attention to the tourism emissiveness in rural areas.

中图分类号: 

  • F590