Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Architectural Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
Volume 56 Issue 10
Oct.  2026
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SONG Jinghua, WEN Xun, ZHU Yuyi, DING Qian, YANG Xiu. Spatial Transformation Strategy for Industrial Heritage Based on Social Network Analysis: a Case Study of the Dongfeng Motor Museum Project[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(10): 34-46. doi: 10.3724/j.gyjzG25080901
Citation: SONG Jinghua, WEN Xun, ZHU Yuyi, DING Qian, YANG Xiu. Spatial Transformation Strategy for Industrial Heritage Based on Social Network Analysis: a Case Study of the Dongfeng Motor Museum Project[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(10): 34-46. doi: 10.3724/j.gyjzG25080901

Spatial Transformation Strategy for Industrial Heritage Based on Social Network Analysis: a Case Study of the Dongfeng Motor Museum Project

doi: 10.3724/j.gyjzG25080901
  • Received Date: 2025-08-09
    Available Online: 2026-11-06
  • As China’s urban development model shifts from incremental expansion to stock renewal, how to revitalize industrial architectural heritage and carry out reasonable renovations for its sustainable, recyclable, and renewable reuse has become an important issue in urban renewal. Taking the renovation project of the industrial heritage of the Dongfeng Automobile Factory in Shiyan City as an example, this paper used social network analysis to identify the key nodes in the spatial structure of industrial heritage, revealed the deep-seated laws of spatial structural relationships, and conducted a quantitative analysis on key indicators such as degree centrality, cohension,, and between centrality of its spatial network. It explored cohesive subgroups, the order, and hierarchy of spatial network nodes of industrial heritage. The renovated space has greatly improved in spatial hierarchy, spatial cohesion, and spatial rationality. Aiming to effectively enhance the utilization efficiency and user experience of the renovated industrial heritage space, predict potential contradictions or problems in space usage, conduct quantitative evaluations, and propose corresponding spatial optimization strategies. This study provides a new perspective and methodology for the innovative transformation of industrial heritage and similar urban renewal research topics.
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