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SUPPLY AND DEMAND EVALUATION OF URBAN RECREATIONAL GREEN SPACES IN ZHAOQING CITY FROM THE PERSPECTIVE OF SUPPLY AND DEMAND BALANCE

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Volume 3, Issue 1, Pp 32-41, 2025

DOI: https://doi.org/10.61784/fer3016

Author(s)

HongJun Xie1, SiRu Ye2*

Affiliation(s)

1School of Guangdong Technology College, Zhaoqing 526100, Guangdong, China.

2Zhaoqing Forestry Bureau, Zhaoqing 526040, Guangdong, China.

Corresponding Author

SiRu Ye

ABSTRACT

Urban recreational green spaces, as an important component of the urban ecosystem, are of significant value to study. This paper delves into the supply and demand conditions of urban recreational green spaces in Zhaoqing City. The study reveals that there are significant differences in the demand and satisfaction levels of recreational green spaces among different social groups. Moreover, the supply and demand conditions of urban recreational green spaces in Zhaoqing City exhibit a pronounced differentiation in spatial distribution, with the northern and southeastern areas being high-supply hotspots, while some regions experience insufficient supply. This imbalance between supply and demand, along with the spatial differentiation, not only exacerbates the unfairness in the allocation of green space resources but also affects the quality of life and happiness of urban residents. The findings of this study can provide practical references for the future optimization of urban recreational green space planning in Zhaoqing City, strengthening resource integration, and ensuring the equitable distribution of green space resources, with the aim of achieving a balance between supply and demand and sustainable development.

KEYWORDS

Urban recreational green space; Supply and demand balance; Three-step floating catchment area method; Quantitative analysis

CITE THIS PAPER

HongJun Xie, SiRu Ye. Supply and demand evaluation of urban recreational green spaces in Zhaoqing city from the perspective of supply and demand balance. Frontiers in Environmental Research. 2025, 3(1): 32-41. DOI: https://doi.org/10.61784/fer3016.

REFERENCES

[1] Hanson H I, Eckberg E, Widenberg M, et al. Gardens’ contribution to people and urban green space. Urban Forestry & Urban Greening, 2021, 63: 127198.

[2] Graca M, Cruz S, Monteiro A, et al. Designing urban green spaces for climate adaptation: A critical review of research outputs. Urban Climate, 2022, 42: 101126.

[3] Sen S, Guchhait S K. Urban green space in India: Perception of cultural ecosystem services and psychology of situatedness and connectedness. Ecological indicators, 2021, 123: 107338.

[4] Reyes-Riveros R, Altamirano A, De La Barrera F, et al. Linking public urban green spaces and human well-being: A systematic review. Urban forestry & urban greening, 2021, 61: 127105.

[5] Ha J, Kim H J, With K A. Urban green space alone is not enough: A landscape analysis linking the spatial distribution of urban green space to mental health in the city of Chicago. Landscape and Urban Planning, 2022, 218: 104309.

[6] Semeraro T, Scarano A, Buccolieri R, et al. Planning of urban green spaces: An ecological perspective on human benefits. Land, 2021, 10(2): 105.

[7] Wang K, Wang W, Li T, et al. Optimizing living service amenities for diverse urban residents: A supply and demand balancing analysis. Sustainability, 2023, 15(16): 12392.

[8] Wu H, Wang L, Zhang Z, et al. Analysis and optimization of 15-minute community life circle based on supply and demand matching: A case study of Shanghai. PloS one, 2021, 16(8): e256904.

[9] Li P, Wang Z, Wang N, et al. Stochastic robust optimal operation of community integrated energy system based on integrated demand response. International journal of electrical power & energy systems, 2021, 128: 106735.

[10] Huang Y, Hong X, Zheng Y, et al. Assessment and optimization of spatial equity for urban parks: A case study in Nanjing, China. Ecological Indicators, 2024, 166: 112449.

[11] Liu B, Tian Y, Guo M, et al. Evaluating the disparity between supply and demand of park green space using a multi-dimensional spatial equity evaluation framework. Cities, 2022, 121: 103484.

[12] Wolff M. Taking one step further–Advancing the measurement of green and blue area accessibility using spatial network analysis. Ecological indicators, 2021, 126(5): 107665.

[13] Liu W, Chen W, Dong C. Spatial decay of recreational services of urban parks: Characteristics and influencing factors. Urban Forestry & Urban Greening, 2017, 25: 130-138.

[14] Zhu Z, Li J, Chen Z. Green space equity: Spatial distribution of urban green spaces and correlation with urbanization in Xiamen, China. Environment, Development and Sustainability, 2023, 25(1): 423-443.

[15] Rao Y, Zhong Y, He Q, et al. Assessing the equity of accessibility to urban green space: a study of 254 cities in China. International Journal of Environmental Research and Public Health, 2022, 19(8): 4855.

[16] Ali M J, Rahaman M, Hossain S I. Urban green spaces for elderly human health: A planning model for healthy city living. Land Use Policy, 2022, 114: 105970.

[17] Wang S, Wang M, Liu Y. Access to urban parks: Comparing spatial accessibility measures using three GIS-based approaches. Computers, environment and urban systems, 2021, 90: 101713.

[18] Teng F, Wang Y, Wang M, et al. Monitoring and analysis of population distribution in China from 2000 to 2020 based on remote sensing data. Remote Sensing, 2022, 14(23): 6019.

[19] Sun L, Wang J, Chang S. Population spatial distribution based on Luojia 1–01 nighttime light image: A case study of Beijing. Chinese Geographical Science, 2021, 31: 966-978.

[20] Zhu J, Lu H, Zheng T, et al. Vitality of urban parks and its influencing factors from the perspective of recreational service supply, demand, and spatial links. International journal of environmental research and public health, 2020, 17(5): 1615.

[21] Chen Z, Liu Q, Li M, et al. A New Strategy for Planning Urban Park Green Spaces by Considering Their Spatial Accessibility and Distributional Equity. Forests, 2024, 15(3): 570.

[22] Chen D, Long X, Li Z, et al. Exploring the determinants of urban green space utilization based on microblog check-in data in Shanghai, China. Forests, 2021, 12(12): 1783.

[23] Ma G, Pellegrini P, Wu H, et al. Impact of land-use mixing on the vitality of urban parks: Evidence from big data analysis in Suzhou, Yangtze River Delta region, China. Journal of Urban Planning and Development, 2023, 149(4): 4023045.

[24] Ma G, Pellegrini P, Wu H, et al. Impact of land-use mixing on the vitality of urban parks: Evidence from big data analysis in Suzhou, Yangtze River Delta region, China. Journal of Urban Planning and Development, 2023, 149(4): 4023045.

[25] Xing L, Liu Y, Liu X, et al. Spatio-temporal disparity between demand and supply of park green space service in urban area of Wuhan from 2000 to 2014. Habitat International, 2018, 71: 49-59.

[26] Yang J. Research on optimization strategies for urban park green space planning in Nanjing based on GIS from the perspectives of network analysis and Thiessen polygon theory. International Journal of Modern Physics C, 2024, 2441002.

[27] Xiao Y, Piao Y, Pan C, et al. Using buffer analysis to determine urban park cooling intensity: Five estimation methods for Nanjing, China. Science of the Total Environment, 2023, 868: 161463.

[28] Chen J, Wang C, Zhang Y, et al. Measuring spatial accessibility and supply-demand deviation of urban green space: A mobile phone signaling data perspective. Frontiers in Public Health, 2022, 10: 1029551.

[29] Chen P, Wang W, Qian C, et al. Gravity-based models for evaluating urban park accessibility: Why does localized selection of attractiveness factors and travel modes matter?. Environment and Planning B: Urban Analytics and City Science, 2024, 51(4): 904-922.

[30] Zhang D, Ma S, Fan J, et al. Assessing spatial equity in urban park accessibility: An improve two-step catchment area method from the perspective of 15-mintue city concept. Sustainable Cities and Society, 2023, 98: 104824.

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