Abstract：Based on the literature review, the current article takes Huangshan Scenic District as an example and constructs Pre-trip Travel Information Search Scale and Tourist Satisfaction Scale with the purpose of reducing dimensions of the pre-trip travel information searching and tourist satisfaction at destination through factor analysis approach, and testing the differences in groups about the factors through independent samples t-test and multiple comparisons of Post-Hoc test. And the impacts of different demographic characteristics on the social environment have no positive correlations, whereas the impact of vocation on the natural landscape in less affected by climate has a positive correlation. Canonical correlation analysis shows positive correlations between four factors including the health care information, the in-depth information, the media-oriented information search and the experience and information search from the travel agency of pre-trip travel information search and tourist satisfaction at destination, while tourists pay less attention to the in-depth information and the media-oriented information. At the same time, the more the tourists' perception towards the health care information, the higher the tourists' evaluation towards the natural landscape in less affected by climate; the more the tourists' perception towards the in-depth information and the experience and information search from the travel agency, the higher the tourists' evaluation towards the social environment, the natural landscape in more affected by climate and the culture landscape; the more the tourists' perception towards the media-oriented information search, the higher the tourists' evaluation towards the natural landscape in more affected by climate and the tourism infrastructure and product.
刘春济, 刘民英. 国内游客行前信息搜索与目的地满意度评价研究——以黄山风景区为例[J]. 人文地理, 2012, 27(6): 137-144.
LIU Chun-ji, LIU Ming-ying. STUDY ON PRE-TRIP TRAVEL INFORMATION SEARCH AND SATISFACTION AT DESTINATION FROM DOMESTIC TOURISTS——A Case Study of Huangshan Scenic District. HUMAN GEOGRAPHY, 2012, 27(6): 137-144.
