Emotional Tendency, Tourist Preference and Urban Underground Street Planning: A Text Mining Analysis Based on Online Comments
[1]
Pei Zhang, School of Tourism, History and Culture, Southwest Minzu University, Chengdu City, China; GSST, Kumamoto University, Kumamoto City, Japan.
In urban planning and design, more and more scholars tend to adopt modern sociological research methods to study public opinions and suggestions on urban planning and design. Tourist online comments have attracted much attention because they have no direct conflict of interest with urban planning and design. This paper chooses a failure case of urban underground street planning and design to study the preferences and tendencies involved in online comments of tourists by using text mining analysis method. The result found that tourists' online comments showed their obvious personal preferences and emotional tendencies. In the case of this study, spatial layout and commercial format planning were the most unsatisfactory problems for tourists, which deserved attention in the upgrade and transformation of the underground streets in the future. Therefore, the study shows that tourists' preferences and emotional tendencies are closely related to urban underground street planning and design. Tourist preferences and emotional tendencies represent attitudes and interests of public participation. Tourists' preferences and emotional tendencies expose the problems in urban underground street planning and design. The research perspective provides the perspective and method of public participation for the upgrading and transformation of urban underground streets in the future.
Emotional Tendency, Tourist Preference, Urban Planning, Underground Street, Text Mining, Online Comment
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