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Public Space Layout Optimization in Affordable Housing Based on Social Network Analysis

Author

Listed:
  • Jie Zhao

    (Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Zhenghong Peng

    (Department of Graphics and Digital Technology, School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Lingbo Liu

    (Department of Graphics and Digital Technology, School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Yang Yu

    (Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Zhourui Shang

    (Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, China)

Abstract

The efficient use of public space in affordable housing is of great significance to the physical and mental health of low-income and aging residents. Previous studies have evaluated the layout and quality of public space in residential areas based on residents’ subjective satisfaction, however, there still lack studies exploring residents’ behavior patterns and the use of public spaces based on objective measurement standards. Therefore, this paper selected the public space in the large affordable housing areas in the suburbs as the research object and used social network analysis (SNA) to objectively evaluate the network density, clustering coefficient and small-world value of the public space in affordable housing from the perspective of the physical spatial network of the built public space. Based on the network structure characteristics of existing public spaces, this paper further explores the relationship between the frequency of public space use in and the characteristics of nodes’ social networks and their own attributes, and the influence of public space layout structure on the behavioral patterns of affordable housing residents. This paper puts forward proposals for the renovation and optimization of public space according to the behavioral preferences of affordable housing residents, so as to complete the network of public space, promote the interaction and communication of residents in the residential area, enhance the residents’ experience of using public space and improve the living standard of residents in the residential area.

Suggested Citation

  • Jie Zhao & Zhenghong Peng & Lingbo Liu & Yang Yu & Zhourui Shang, 2021. "Public Space Layout Optimization in Affordable Housing Based on Social Network Analysis," Land, MDPI, vol. 10(9), pages 1-16, September.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:9:p:955-:d:631701
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    References listed on IDEAS

    as
    1. D. Carro & S. Valera & T. Vidal, 2010. "Perceived insecurity in the public space: personal, social and environmental variables," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(2), pages 303-314, February.
    2. Minou Weijs-Perrée & Gamze Dane & Pauline van den Berg, 2020. "Analyzing the Relationships between Citizens’ Emotions and their Momentary Satisfaction in Urban Public Spaces," Sustainability, MDPI, vol. 12(19), pages 1-20, September.
    3. Anne Ter Wal & Ron Boschma, 2009. "Applying social network analysis in economic geography: framing some key analytic issues," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 739-756, September.
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