Coupling Coordination Evaluation of Lakefront Landscape Spatial Quality and Public Sentiment

Jia Tao, Meng Yang and Jing Wu
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Jia Tao: School of Urban Design, Wuhan University, Wuhan 430072, China
Meng Yang: School of Urban Design, Wuhan University, Wuhan 430072, China
Jing Wu: School of Urban Design, Wuhan University, Wuhan 430072, China

Land, 2022, vol. 11, issue 6, 1-29

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

Keywords: lakefront landscape; machine learning; sentiment analysis; coupling coordination relationship (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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