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

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.

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Publication Details

Journal
Land
Published
2025-03-01
DOI
https://doi.org/10.3390/land14030519
Citations
3
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
3.60
Controls
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article

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

Jing Wu, Ziyi Li, Huihui Liu, Xiaolu Wu
3 citations
Land
Urban Green Space and Health
3.60
article

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

Jing Wu, Ziyi Li, Huihui Liu, Xiaolu Wu
article en
3 citations

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.

LandVol. 14(3)
Wuhan University (CN)
Openalex Percentile: Top 9%
Urban Green Space and Health
3.60
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The Influence of Urban Landscape Ecology on Emotional Well-Being: A Case Study of Downtown Beijing — Jing Wu, Ziyi Li, et al. · Land (2025) | TGRS Research Map | TGRS