自驾车旅游者分类与差异性分析以沈阳周边景区为例

Study on Classification and Difference Analysis of Self-driving Tourists——Based on the Investigation of Scenic Spot in Shenyang Surrounding

以沈阳周边景区自驾车旅游者为研究对象,从自驾车旅游者的需求特征和社会人口学特征出发,采用主成分分析法从影响自驾车旅游者的58个指标中提取了28个主成分,运用系统聚类的方法对28个主成分进行聚类分析,将自驾车旅游者分为家庭亲子型、青年探险型等九类,并对不同类型的自驾车旅游者进行差异性分析。结果表明,不同自驾车旅游者在年龄、收入等社会人口学特征方面不存在显著性差异,但在出游的组织方式等方面却差异性明显。

This paper regarded the tourists of self-driving tourists in Shenyang surrounding scenic spot as the research object,mainly from the demand characteristics of self-driving tourists and the social demographic characteristics to study,used principal component analysis（ pca） extracted 28 principal component from the 58 factors that influenced the behaviors of the self-drive tourists,then used the method of system clustering analysis divided the 28 principal component into a total of nine classes,such as family parenting tourists,young adventure travelers,etc.And finally this paper analyzed the differences of different types of self-drive tourists.The results showed that did not exist significant differences in terms of social demographic characteristics,while the difference was obvious in the organization of the travel mode.