Coupling Coordination Evaluation of Lakefront Landscape Spatial Quality and Public Sentiment

The comprehensive quality evaluation of the lakefront landscape relies on a combination subjective and objective methods. This study aims to evaluate coupling coordination between spatial public sentiment in Wuhan’s area, explore distribution various types through machine learning street view images analysis microblog texts. Results show that: (1) hot cold spots are distributed contiguous pattern, whereas sentiments multiple clusters. (2) A strong correlation exists sentiment. High green visibility, high sky natural revetment have remarkable positive effects In comparison, water visibility has negative effect sentiment, which may be related impact traffic-oriented streets landscape. (3) Lakefront areas close urban centers generally low quality–high distribution, factors such as rapid urbanization. can help planners identify critical optimized relationship evaluation, provides practical basis for future development areas.