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林业资源管理 ›› 2013›› Issue (6): 108-113.

• 科学研究 • 上一篇    下一篇

生态旅游资源评价模型建构与实证研究——以江苏36个生态旅游区为例

沈苏彦1, 郭剑英1, 尹立杰2   

  1. 1.南京林业大学 旅游管理系,南京 210037;
    2.南京旅游职业学院 旅游管理系,南京 211100
  • 收稿日期:2013-09-10 修回日期:2013-10-14 出版日期:2013-12-28 发布日期:2020-11-23
  • 作者简介:沈苏彦(1979-),女,江苏苏州人,副教授,博士,主要从事旅游地理、旅游规划方面的研究。EmaiL:shen.suyan@gmail.com
  • 基金资助:
    江苏省教育厅哲学社会科学基金项目重点项目(2013ZDIXM032);国家自然科学基金青年项目(41301150)

Ecotourism Resources Evaluation Model Development and Case Study —Take 36 ecotourism areas in Jiangsu Province as an example

SHEN Suyan1, GUO Jianying1, YIN Lijie2   

  1. 1. Tourism Management Department,Nanjing Forestry University,Nanjing 210037;
    2. College of Tourism Management,Nanjing Institute of Tourism and Hospitality,Nanjing 211100,China
  • Received:2013-09-10 Revised:2013-10-14 Online:2013-12-28 Published:2020-11-23

摘要: 传统的旅游资源评价模型过度强调旅游资源本身的价值,已无法满足评价对与生态环境有较强依赖性的生态旅游资源的需要。基于已有文献研究基础之上,提出了适应当前生态旅游发展需要的生态旅游评价模型,指标突出了生态旅游的本质,包括生态旅游资源条件、区域条件、开发潜力和生态环境健康4个方面的内容。以江苏省36个主要的生态旅游区为例,运用熵值法以及层次分析法中的和积法相结合的赋权方法进行实证分析,并基于评价结果将这36个生态旅游区进行了分类研究,证实了评价模型的可操作性及在生态旅游发展背景下的指导价值。

关键词: 生态旅游, 旅游资源, 评价模型, 熵值法, 层次分析法

Abstract: Traditional tourism resources evaluation model overemphasizes the value of tourism resources themselves.It has been unable to meet the needs of ecotourism resources evaluation,which should pay more attention to ecological environment.Based on the literature review,an ecotourism resources evaluation model is proposed.The model includes four factors,i.e.,the value of ecotourism resources,regional conditions,development potentials and ecological environmental health.Using a combination weighting method,which combines entropy and AHP method,empirical research is made by collecting data from related experts on evaluating 36 major ecotourism areas in Jiangsu Province.Furthurmore,cluster analysis is used to classify these 36 case areas.The result confirms the operability of the evaluation model proposed in the paper and the guiding value for developing ecotourism.

Key words: ecotourism, tourism resources, evaluation model, entropy method, AHP

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