Study on the distance from green space and social capital of community residents based on the development of smart city—take the city of Lansing as an example
This paper innovatively adopts an interdisciplinary method, which is urban design, combined with social investigation, statistical analysis, and case analysis. In this study, 1350 residents in 45 blocks of Lansing were selected as samples to investigate the related issues of social capital, which in...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-02-01
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| Series: | Frontiers of Architectural Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095263524000955 |
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| Summary: | This paper innovatively adopts an interdisciplinary method, which is urban design, combined with social investigation, statistical analysis, and case analysis. In this study, 1350 residents in 45 blocks of Lansing were selected as samples to investigate the related issues of social capital, which include safety, contact with others, and sense of support for people living in certain areas. There are two ways to measure the distance from the center of the community to the nearest green space. One is the straight distance, while the other is path distance. Through statistical analysis, the path distance of less than 250 m is also added into the variables. The results overturned the hypotheses and showed that the distance of green space was positively correlated with social capital. The residents of Lansing may prefer the distant green space for recreational activities and create a way to participate in civic duty. The research can not only provide a basis for Lansing to formulate the appropriate resource management rules and norms and promote the accumulation of residents' social capital, but also provide a reference for urban green space planning in other areas. At the same time, in the context of developing a smart city and constructing a new public system, we hope that the better optimization of the green space allocation will be achieved. |
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| ISSN: | 2095-2635 |