The Influence of Urban Landscape Ecology on Emotional Well-Being: A Case Study of Downtown Beijing

Ziyi Li, Xiaolu Wu, Jing Wu () and Huihui Liu
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Ziyi Li: Department of Urban and Rural Planning, School of Urban Design, Wuhan University, Wuhan 430072, China
Xiaolu Wu: Department of Urban and Rural Planning, School of Urban Design, Wuhan University, Wuhan 430072, China
Jing Wu: Department of Urban and Rural Planning, School of Urban Design, Wuhan University, Wuhan 430072, China
Huihui Liu: Department of Urban and Rural Planning, School of Urban Design, Wuhan University, Wuhan 430072, China

Land, 2025, vol. 14, issue 3, 1-27

Abstract: This study focuses on downtown Beijing to explore the spatial distribution characteristics of emotions and their influencing factors from the perspective of landscape ecology. The research reveals significant spatial agglomeration in the distribution of emotions, with hot spots primarily concentrated around parks, commercial centers, and areas surrounding social service facilities, such as schools and hospitals. By contrast, historical sites and museums are mostly cold spots for emotions. An analysis of various landscape pattern indices shows that indices such as the spatially explicit index of evenness (SIEI), the largest patch index (LPI), the number of patches (NP), and the Shannon–Wiener diversity index (SIDI) are positively correlated with residents’ emotions. This suggests that evenly distributed landscape elements, large natural patches, a rich variety of landscape types, and high landscape diversity can effectively enhance residents’ emotional well-being. Conversely, complex landscape shape indices and high aggregation indices may negatively impact emotions. Based on these findings, it is recommended that urban planning optimize the urban green space system, increase the area and number of natural patches, pay attention to the diversity of landscape design, simplify the shape of the landscape, and reasonably control the aggregation of the landscape to create a more emotionally caring urban space.

Keywords: emotional spatial distribution; landscape pattern; urban planning; residents’ emotions; Beijing (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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