Optimizing Public Space in High-Rise Residences: A Whole Life Cycle Perspective with Kruskal Algorithm-A Case Study of a Shanghai High-Rise Residential Project

被引:1
|
作者
Li, Jingwen [1 ]
Han, Yaodong [1 ]
Li, Qinyi [1 ]
Tang, Daizhong [1 ]
机构
[1] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
关键词
high-rise residence; public space; Kruskal algorithm; whole life cycle theory;
D O I
10.3390/buildings14061769
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In response to the intensification of urbanization, characterized by increasingly dense land use, the proliferation of high-rise residences has emerged as a predominant housing solution, particularly evident in developed cities like those in China. With a primary aim of enhancing the residential living environment within high-rise structures, this study advocates for a comprehensive whole life cycle perspective. By employing digital technology and conducting experiments centered on a representative case study, this paper focuses on optimizing the functional layout of public activity spaces within high-rise residential projects. Specifically, this article aims to address challenges such as the inadequate configuration and articulation of various public spaces, along with the underutilization of peripheral activity areas. Central to the optimization efforts is the utilization of the Kruskal algorithm, which enables the analysis of flow lines and functions, ultimately leading to the derivation of optimal solutions. Through a detailed analysis of our case study, this paper provides actionable insights into enhancing the feasibility and effectiveness of public spaces within high-rise residential projects. Recognizing the pivotal role of public space layout in shaping residents' living experiences, the importance of addressing this issue early in the design phase was emphasized. By integrating scientifically driven digital technology solutions, smart, inclusive, and convenient communities that cater to the diverse needs of their inhabitants are aspired to be created.
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页数:18
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