Welcome to Scholar Publishing Group

Nature Environmental Protection, 2025, 6(1); doi: 10.38007/NEP.2025.060110.

Composite Optimization and Practice of Therapeutic Environment in Urban Green Spaces from Multi-level Perspectives

Author(s)

Cheng Zhang

Corresponding Author:
Cheng Zhang
Affiliation(s)

School of Art and Design, Wanjiang University of Technology, Ma'anshan, China

Abstract

With the acceleration of urbanization, urban residents are confronted with increasingly serious physical and mental health problems. As an important public space with healing functions, the optimization of the healing environment of urban green Spaces has become a key issue in improving the quality of life of residents. Based on a multi-level perspective, this paper systematically analyzes the constituent elements and existing problems of the therapeutic environment in urban green Spaces from three levels: micro-individual perception, meso-spatial layout, and macro-policy planning. It proposes a compound optimization strategy to provide theoretical references and practical guidance for the construction and optimization of the therapeutic environment in urban green Spaces.

Keywords

Multi-level perspective, Urban green space, Therapeutic environment, Compound optimization, Practical path

Cite This Paper

Cheng Zhang. Composite Optimization and Practice of Therapeutic Environment in Urban Green Spaces from Multi-level Perspectives. Nature Environmental Protection (2025), Vol. 6, Issue 1: 87-94. https://doi.org/10.38007/NEP.2025.060110.

References

[1] Hintural P W, Carayugan B M, Park B B. Modeling regulating ecosystem services and environmental impact through urban green space expansion: A case study of Manila City. Urban Climate, 2025, 64, 102641-102641. https://doi.org/10.1016/j.uclim.2025.102641

[2] Hui Y, Ma X, Han F, et al. Urban Green Spaces Under Climate Warming: Controlling the Spread of Allergenic Pollution Through Residential Area Spatial Layout Optimization. Sustainability, 2025, 17(7):3235-3235. https://doi.org/10.3390/su17073235

[3] Liu X, Zhou Z. Multi-Objective Urban Green Space Optimization of Wetland Cities Based on the Carbon Balance: A Case Study in Wuhan. Land, 2024, 13(12):2121-2121. https://doi.org/ 10.3390/land13122121

[4] Du C, Ge S, Song P, et al. Optimizing Urban Green Spaces for Vegetation-Based Carbon Sequestration: The Role of Landscape Spatial Structure in Zhengzhou Parks, China. Forests, 2025, 16(4):679-679. https://doi.org/10.3390/f16040679

[5] Ma X, Ong L B. Optimizing Urban Greenery for Climate Resilience: A Case Study in Perth, Australia. Land, 2025, 14(5):1088-1088. https://doi.org/10.3390/land14051088

[6] Yang Y, Yu C, Li S, et al. A planting optimization strategy to improve the carbon sink benefit for urban green-Taking the communal green of Nanjing Forestry University as an example. Ecological Indicators, 2024, 159, 111619-111621. https://doi.org/10.1016/j.ecolind. 2024.111619

[7] Zhou Y, Yao J, Chen M, et al. Optimizing an Urban Green Space Ecological Network by Coupling Structural and Functional Connectivity: A Case for Biodiversity Conservation Planning. Sustainability, 2023, 15(22):108-112. https://doi.org/10.3390/su152215818

[8] Yu S, Guan X, Zhu J, et al. Artificial Intelligence and Urban Green Space Facilities Optimization Using the LSTM Model: Evidence from China. Sustainability, 2023, 15(11):1160-1162. https://doi.org/10.3390/su15118968

[9] Kai X, Kepeng Y, Hang Z. Accessibility analysis and optimization strategy of urban green space in Qingdao City Center, China. Ecological Indicators, 2023, 156-160. https://doi.org/10.1016/ j.ecolind.2023.111087

[10] Wang Y. Healing through nature: Public engagement with urban green-blue spaces in pandemic-era NW China. Environmental Impact Assessment Review, 2025, 112, 107769-107769. https://doi.org/10.1016/j.eiar.2024.107769