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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Language: | English |
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KeAi Communications Co., Ltd.
2025-02-01
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Series: | Frontiers of Architectural Research |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2095263524000955 |
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author | Dong Zheng Xiaoxiao Wang Han Yang Jiezikang Zeng |
author_facet | Dong Zheng Xiaoxiao Wang Han Yang Jiezikang Zeng |
author_sort | Dong Zheng |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-dd6769d6b0014c6d8b3672b49a2e8895 |
institution | Kabale University |
issn | 2095-2635 |
language | English |
publishDate | 2025-02-01 |
publisher | KeAi Communications Co., Ltd. |
record_format | Article |
series | Frontiers of Architectural Research |
spelling | doaj-art-dd6769d6b0014c6d8b3672b49a2e88952025-01-21T04:13:02ZengKeAi Communications Co., Ltd.Frontiers of Architectural Research2095-26352025-02-01141114126Study 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 exampleDong Zheng0Xiaoxiao Wang1Han Yang2Jiezikang Zeng3Faculty of Humanities and Arts, Macau University of Science and Technology, Macao 999078, ChinaSchool of Art and Design, Guangdong University of Technology, Guangzhou 510006, China; Corresponding author.School of Design, Shunde Polytechnic, Shunde 528300, ChinaFaculty of Humanities and Arts, Macau University of Science and Technology, Macao 999078, ChinaThis 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.http://www.sciencedirect.com/science/article/pii/S2095263524000955Green spacesSocial capitalPath distanceStraight distanceSmart city |
spellingShingle | Dong Zheng Xiaoxiao Wang Han Yang Jiezikang Zeng 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 Frontiers of Architectural Research Green spaces Social capital Path distance Straight distance Smart city |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Green spaces Social capital Path distance Straight distance Smart city |
url | http://www.sciencedirect.com/science/article/pii/S2095263524000955 |
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