学术
游客对古村落旅游的“真实感-满意度”测评模型初探
冯淑华[1,2] 沙润[1]
[1]南京师范大学地理科学学院,南京210097 [2]江西师范大学旅游系,南昌330022
摘 要:
从旅游感知角度，建立了游客“真实感一满意度”测评模型，模型由古建筑真实感、生活文化真实感、古村落真实度、游客满意度、游客忠诚度等5大因素，以及影响这5大因素的16项观察因子组成，形成一种线性结构关系，它们之间的相关性用路径系数表示，系数的闻值为＞0，＜0.95。路径系数通过SPSS软件对模型数据进行多元回归分析求取，所得回归系数即为路径系数。以江西婺源为案例，对所建模型进行了应用研究，结果显示模型因果关系显著，与研究假设条件相符合，模型可以接受。[著者文摘]
文章出处:
《人文地理》-2007年22卷6期 -85-89页
栏目信息:
分 类 号:
文献标识码:
A
文章编号:
1003-2398（2007）06-0085-05
A TENTATIVE STUDY ON THE EVALUATION MODEL OF TOURISTS＇ PERCEPTION OF THE AUTHENTICITY ＆ SATISFACTION IN ANCIENT VILLAGE TOUR
FENG Shu-hua, SHA Run（1. College of Geography Science, Nanjing Normal University, Nanjing 210097, China; 2.Department of Tourism, Jiangxi Normal University Nanchang 330022, China）
Abstract:
In 1970s, a heated discussion among western tourism researchers was triggered offby MacCanneU＇s article Staged Authenticity. Since then, authenticity has become a core concept in tourism research. This paper, from the aspect of tourist perception, is to set up an Evaluation Model of Tourists＇ Perception of the Authenticity＆ Satisfaction of Ancient Village Tour. The paper aims at exploring the impact of tourists＇ perception of the authenticity, satisfaction and loyalty of ancient villages by quantitative analysis. The evaluation model consists of sixteen elements under the category of five major factors, namely, perception of authenticity of ancient village buildings, perception of authenticity of living custom, perception of authenticity of ancient villages, tourists＇ satisfaction and loyalty. The above-mentioned elements form a linear structure, and their relevance is expressed by path coefficients ranging from 0 to 0.95. Regression coefficients obtained through the multiple regression analysis by SPSS on modle data are equal to path coefficients. In this paper, Wuyuan, Jiangxi is taken as a sample and the result shows obvious causal relationship. In conclusion, the evaluation model is acceptable.[著者文摘]
Key words:
tourist perception; ancient village tourism; authenticity; satisfaction; evaluation model
基金资助:
国家自然科学基金项目（40471037）.
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