Study on the Supply-Demand Matching and Layout Optimization of Urban Green Parks Based on Social Cognitive Theory: Taking Yanta District of Xi’an as an Example

Zizhao Nie; Xikun Guan; Kaiyu Li; Yiwei Hou; Yuying He; Lijiao Jin

doi:10.62051/ijgem.v7n1.25

Authors

Zizhao Nie
Xikun Guan
Kaiyu Li
Yiwei Hou
Yuying He
Lijiao Jin

DOI:

https://doi.org/10.62051/ijgem.v7n1.25

Keywords:

Green spaces, Supply-demand matching, Social cognitive theory, Two-step floating catchment area method, Subjective perception

Abstract

This paper takes Yanta District of Xi’an as a case study to explore the supply-demand relationship and spatial layout optimization strategy of urban park green spaces. Through a combination of social analysis and spatial analysis, it investigates the usage characteristics and satisfaction of residents in Yanta District regarding urban park green spaces, analyzes the demand differences for park green spaces among different resident groups, and conducts an in-depth analysis of the service scope, vegetation coverage, and accessibility of park green spaces in Yanta District using multi-source data. The results show that there are problems such as unequal spatial distribution and poor overall accessibility of park green spaces in Yanta District. Based on this, this study introduces the concept of pocket parks, optimizes the site selection scheme of park green spaces using a location-allocation model, and verifies the rationality of the site selection through 3D elevation modeling. The study indicates that the optimized pocket park site selection can significantly improve the service level of park green spaces in the western green-deficient areas of Yanta District, enhance residents' happiness and satisfaction, and provide a scientific basis and practical guidance for the layout optimization of urban park green spaces.

Downloads

Download data is not yet available.

References

[1] Cai, L., Zhang, B., Huang, X. J., et al. (2004). Comprehensive Evaluation for the Modernization Level of Urban Infrastructure in China. Urban Development Studies, 4, 50 - 54.

[2] Tao, X. L., Chen, M. X., Zhang, W. Z., et al. (2013). Classification of Urban Parks and Analysis of the Relationship between Their Types and Functions: A Case Study of Urban Parks in Beijing. Geographical Research, 32(10), 1964 - 1976.

[3] Li, H. (2015). Evaluation of the Service Function of Urban Ecological Recreation Spaces and Optimization Strategies. City Planning Review, 39(8), 63 - 69.

[4] Xin, R. H., Zeng, J., Liang, C. (2023). Identification of Key Areas with Imbalance between the Supply and Demand of Urban Green Space Recreation Services and Prioritization of Planning Interventions. Acta Geographica Sinica, 78(3), 762 - 774.

[5] Li, X. X. (2005). A Review of Research on Social Cognitive Theory. Journal of Fuyang Teachers College (Social Science Edition), 2, 87 - 89.

[6] Jin, S. Q., Li, H., Shen, W., et al. (2020). Research on the Influencing Factors of Users' Health Information Search Behavior: Based on the Triadic Reciprocal Model of Social Cognitive Theory. Information Science, 38(6), 53 - 61, 75.

[7] Li, F. J., Yuan, X. L. (2024). Research on the Influencing Factors of Individuals' Subjective Well - being under Major Emergencies: From the Perspective of Social Cognition. Information Research, 5, 75 - 86.

[8] Lin, H. C., Chang, C. M. (2018). What Motivates Health Information Exchange in Social Media? The Roles of the Social Cognitive Theory and Perceived Interactivity. Information & Management, 55(6), 771 - 780. https://doi.org/10.1016/j.im.2018.03.006

[9] Koprowska, K., Kronenberg, J., Kuźma, I. B., et al. (2020). Condemned to Green? Accessibility and Attractiveness of Urban Green Spaces to People Experiencing Homelessness. Geoforum, 113, 1 - 13. https://doi.org/10.1016/j.geoforum.2020.04.017

[10] Lin, T., Zeng, Z. W., Yao, X., et al. (2023). Research on the Health Effects of Urban Green Space Exposure on the Population. Acta Ecologica Sinica, 43(23), 10013 - 10021.

[11] Jiang, W., Shao, D. W., Shao, L. T., et al. (2024). Research Status and Prospect of the Relationship between Urban Green Spaces and Living Spaces at Home and Abroad. Landscape Architecture, 41(4), 52 - 60.

[12] Huang, Y. F., Zeng, Y. X., Sun, D., et al. (2023). Review of the Application of Big Data in Green Space Research. Landscape Architecture, 40(4), 76 - 85.

[13] Li, X., Ma, X. D., Xue, X. T., et al. (2019). Evaluation of the Supply and Demand of Urban Green Space and Layout Optimization: A Case Study of the Central Urban Area of Xuzhou. Scientia Geographica Sinica, 39(11), 1771 - 1779.

[14] Lu, Y. C., Fang, S. M. (2019). Research on the Optimization of the Spatial Layout of Park Green Spaces in the Main Urban Area of Wuhan from the Perspectives of Balance and Efficiency. Resources and Environment in the Yangtze Basin, 28(1), 68 - 79.

[15] Huang, C., Yang, J., Lu, H., et al. (2017). Green Spaces as an Indicator of Urban Health: Evaluating Its Changes in 28 Mega - Cities. Remote Sensing, 9(12), 1266. https://doi.org/10.3390/rs9121266