地理科学 ›› 2006, Vol. 26 ›› Issue (6): 764-771.doi: 10.13249/j.cnki.sgs.2006.06.764

• 论文 • 上一篇    

一个新的生态旅游者分类指标的有效性分析——以北京市百花山自然保护区为例

李燕琴   

  1. 中央民族大学管理学院, 北京 100081
  • 收稿日期:2006-03-15 修回日期:2006-07-15 出版日期:2006-11-20 发布日期:2006-11-20
  • 基金资助:
    中央民族大学青年教师科研基金项目(CUN11A)、"985工程"中国民族地区经济社会与公共管理研究哲学社会科学创新基地(中国少数民族地区公共管理与公共政策)项目资助。

Analysis of Validity of a New Ectourists Classification Index: A case study of Baihua Mountain Nature Reserve in Beijing

LI Yan-Qin   

  1. The School of Management, Central University for Nationalities, Beijing 100081
  • Received:2006-03-15 Revised:2006-07-15 Online:2006-11-20 Published:2006-11-20

摘要: 借鉴NEP尺度的指标构造思路以及国外相关研究进展,结合在北京市百花山自然保护区生态旅游者研究的相关数据,提出从生态旅游者与一般游客两方面的典型动机特征入手,构建一个新的生态旅游者分类指标生态旅游兴趣尺度EI,以综合评定游客对生态旅游的感兴趣程度。使用指标替代和增补的方法对EI尺度的有效性进行检验,结果表明EI尺度确实可提高生态旅游者判别的准确率,EI与NEP和VIS一起构成了识别生态旅游者的最重要的三个指标。同时,Logistic回归分析也表明,EI尺度目前在三个特征向量中对于分类的作用还较弱,这与中国处于生态旅游发展的早期阶段,生态旅游者与一般游客在动机特征方面的分异不大有关。

Abstract: As ecotoursim develops rapidly in China, it becomes very challenging to find the right balance between conserving the environment and meeting the growing demand of tourism, i.e., how to provide the best possible experience to the tourists ensuring the sustainable development of the environment. Hence, it is imperative to conduct comprehensive research on ecotourist. Ecotourist study must deperd on enough ecotourist samples. Therefore, it is important to identify ecotourists from visitors to protected areas.The majority of previous studies on ecotourism have used a behavioral approach to the identification of ecotourists. While these studies provide a number of useful ecotourist profiles, they do not provide a general scale in identifying ecotourists across a wide array of contexts. The paper adopted an integrated classification technique comprising K-Nearest Neighbor (KNN) and Back-Propagation (BP) Networks to identify the ectourists and 423 persons who answered the questionnaires during the National Day holiday in 2003 in Baihua Mountain Nature Reserve of Beijing and 139 out of them were identified as ecotourists. Based on the studies of the characteristics of the ecotourists and general tourists in Baihua Mountain and progress of the interrelated research in foreign countries, we set a new ecotourists classification index: Ecotourism Interest (EI). EI describes the extent that the tourists are interested in the ecotourism product, together with NEP (New Ecological Paradigm) and VIS (the number of times per visitor visiting rural natural regions), which constitutes the most important characteristic vectors for the identification and segmentation of ecotourists. Applying the same identified method again on the tourists in Baihua Mountain with these three vectors, the accurate identification rate to ecotourists is as high as 87.1% and the rate to all tourists is as high as 80.1%. At the same time, Logistic regression models are also used to test the hypotheses and the accurate identification rate to all tourists is as high as 82.7%. The classification effect with EI and VIS as eigenvectors is close to the effect with NEP and VIS as eigenvectors. However, the effect with EI, NEP and VIS as eigenvectors is better than with EI and VIS or NEP and VIS. Therefore, empirical results show that the ecotourism interest scale is useful in identifying if tourists are ecotourists. However, EI’s effect to the identification is lower than other two vectors at present because the development of ecotourism in China is still in the early phase and the differences between the ecotourists and non-ecotoursits are not very distinct. However, with the development of ecotourism in China, the ecotourists will have more representative motivation characteristics. At that time EI’s effect to the identification would more important. On the whole, EI appears to offer a useful explanation of the tourist participation in ecotourism activities. Other factors, such as age, gender, income, party composition, and organization of travel, influenced choice of the ecotourism products, suggesting that EI items should be supplemented by items measuring demographics and trip characteristics in future use.

中图分类号: 

  • F590