Spatial Transformation Strategies for Industrial Heritage from the Perspective of Social Network Analysis:A Case Study based on the Sanlinqiao Community Centre Project
As urban expansion slows,the transformation of industrial heritage in cities has become a new research direction and the rational reuse of existing industrial heritage building space is a major point in transformation projects.Industrial buildings have special functions and they are usually designed for the production,storage,or processing of goods.They have huge internal space and the spatial layout often follows an order that reflects efficiency and production logic.Therefore,three objective problems need to be solved during the transformation of industrial buildings into public buildings:functional layout,spatial accessibility,and diversity of spatial sequences.The social network analysis method greatly enriches the simple linear approach of traditional spatial planning.It enables the analysis of more complex intersections of spatial units and their three-dimensional and dynamic associations by using data association,integration analysis,text mining,and other digital analysis methods,thereby enabling the observation of many relationships and performances that are difficult to observe using a linear mindset.In this study,a case study based on the Renovation Project of Shanghai Sanlinqiao Community Centre was performed.The spatial structural rationality of the industrial heritage building park was discussed based on social network analysis and its spatial network relation model was built using UCINET.Spatial units in the park were abstracted into nodes and behavior correlations among nodes were abstracted into lines,thus building a spatial structural network and enabling a quantitative analysis of relationships among nodes.The spatial characteristics of the park could be explored by analyzing the cohesion,centrality,and association of its spatial network and spatial nodes,which assisted in the optimization of the functional layout,spatial accessibility,and diversity of spatial sequences.Five specific optimization strategies were proposed according to the calculation results of the social network analysis.(1)Determine spaces with the same function according to the calculation of cohesive subgroups and place the corresponding functions according to the specific positions of groups on the site to improve the overall balance of vitality among groups.(2)Create gray space,increase the overlapping area and spatial layers among architectural monomorphisms,enhance the direct connection among nodes,and improve the accessibility of spaces.(3)Improve the spatial hierarchy and the relationship between marginal space and the whole green area,increase the direct correlation between marginal space and other spaces,and enhance the accessibility of the overall spatial system.(4)Create outdoor space,increase outdoor public activity space reasonably,connect internal green area spaces with outdoor high-activity spaces,increase connections among spatial units,and increase the sequence options for users in the space system.(5)Improve the tightness of the spatial connections within a group,increase the complexity and diversity of public space adaptation,strengthen the interactions among nodes,and increase the combination of different spatial sequences.After applying these optimization strategies,a new spatial network model was constructed and analyzed,demonstrating a significant optimization effect.The reconstructed area had reasonable functional zoning,a stronger vitality balance of groups,higher spatial vitality,and greater spatial network cohesion.The betweenness centrality among nodes decreased,the spatial power of nodes was balanced,and the accessibility was improved.The spatial network density was generally increased,with increased direct and indirect connections among spaces,richer combinations,and a higher diversity of spatial sequences.This social network analysis provides a spatial strategy for the transformation of industrial heritage buildings into public buildings and provides a reference for similar projects.
industrial heritagespatial transformationsocial network analysisquantitative evaluationtransformation strategySanlinqiao Community Center
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