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作 者:Dong Zheng Xiaoxiao Wang Han Yang Jiezikang Zeng
机构地区:[1]Faculty of Humanities and Arts,Macao University of Science and Technology,Macao 999078,China [2]School of Art and Design,Guangdong University of Technology,Guangzhou 510006,China [3]School of Design,Shunde Polytechnic,Shunde 528300,China
出 处:《Frontiers of Architectural Research》2025年第1期114-126,共13页建筑学研究前沿(英文版)
基 金:supported by Project for Young Innovative Talents of Guangdong Provincial Department of Education in 2022(Research on the Integration Path of Industry and Education in Furniture Design under the Background of Rural Revitalization,Funding No.2022WQNCX255).
摘 要:This paper innovatively adopts an interdisciplinary method, which is urban design,combined with social investigation, statistical analysis, and case analysis. In this study, 1350residents in 45 blocks of Lansing were selected as samples to investigate the related issuesof social capital, which include safety, contact with others, and sense of support for peopleliving in certain areas. There are two ways to measure the distance from the center of thecommunity to the nearest green space. One is the straight distance, while the other is pathdistance. Through statistical analysis, the path distance of less than 250 m is also added intothe variables. The results overturned the hypotheses and showed that the distance of greenspace was positively correlated with social capital. The residents of Lansing may prefer thedistant 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 resourcemanagement rules and norms and promote the accumulation of residents’ social capital, butalso provide a reference for urban green space planning in other areas. At the same time, inthe context of developing a smart city and constructing a new public system, we hope thatthe better optimization of the green space allocation will be achieved.
关 键 词:Green spaces Social capital Path distance Straight distance Smart city
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