Study on Tourist Emotional Space of Island-type Tourist Destinations

Taking Changhai County as a case study, this research explores the characteristics of tourists' emotional space and their influencing factors in island-type tourist destinations. It is based on online travel note text data and combines GIS spatial visualization, content analysis method and spatial autocorrelation method. Breaking through the limitations of traditional tourism image analysis, this study reveals the laws of tourists' emotional distribution and its correlation with temporal-spatial behaviors and attraction types through text emotion extraction and spatial modeling. The results show that: (1) The tourism image of Changhai County centers on the marine theme, presenting positive characteristics of the integration of leisure-experience natural scenery and fishing village culture. However, some negative emotions are caused by inconvenient transportation, environmental damage and management problems. (2) Tourists' temporal-spatial behaviors show the characteristics of complex cross-island flow, and the emotional space agglomeration is significant. Places such as Haxian Island form "high-high" emotional agglomeration areas, while some parts like Guanglu Island have a "low-high" heterogeneous pattern. (3) The type of attractions significantly affects emotional differences. The emotions towards coastal landscapes are polarized, those towards mountain scenery are positive, while the scores of historical buildings are low due to scale limitations. Based on these findings, suggestions are put forward, such as optimizing the transportation network, strengthening ecological protection, standardizing market management and exploring cultural resources, so as to enhance the emotional experience of island tourism and the ability of sustainable development. This study provides a methodological reference for the research on the emotional geography of island tourism and also offers empirical basis for the refined governance of tourist destinations.