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Research on Adaptive Reuse Strategy of Industrial Heritage Based on the Method of Social Network

Author

Listed:
  • Jinghua Song

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Junyang Chen

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Xiu Yang

    (School of Urban Design, Wuhan University, Wuhan 430072, China)

  • Yuyi Zhu

    (School of Architecture and Urban Planning, Chongqing University, Chongqing 400045, China)

Abstract

With the deceleration of urban expansion, the adaptive reuse of industrial heritage buildings has emerged as a novel area of research. In previous times, the majority of approaches to adapting industrial heritage buildings relied on experiential knowledge, which lacked the ability to objectively assess the relationship between spaces and engage in rational planning. However, the social network analysis method offers an objective and comprehensive means of perceiving the spatial structure and analyzing its issues from a detached perspective. This study presents a proposal for addressing three spatial challenges encountered during the conversion of industrial heritage buildings into public buildings. It also suggests spatial optimization strategies to overcome these challenges. The Sanlinqiao Thermal Bottle Factory is selected as the research subject, and a spatial network structure model is constructed to analyze the existing issues using the social network analysis method. The proposed spatial optimization strategies are then applied, and the optimized space is evaluated through a re-analysis of the spatial layout. The spatial utilization rate has been significantly improved, leading to an effective enhancement of the spatial vitality of the site. This study presents a spatial strategy aimed at converting industrial heritage buildings into public buildings, thereby offering valuable insights for similar projects involving the transformation of industrial heritage sites.

Suggested Citation

  • Jinghua Song & Junyang Chen & Xiu Yang & Yuyi Zhu, 2024. "Research on Adaptive Reuse Strategy of Industrial Heritage Based on the Method of Social Network," Land, MDPI, vol. 13(3), pages 1-20, March.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:383-:d:1358855
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    References listed on IDEAS

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    1. Marta Bottero & Chiara D’Alpaos & Alessandra Oppio, 2019. "Ranking of Adaptive Reuse Strategies for Abandoned Industrial Heritage in Vulnerable Contexts: A Multiple Criteria Decision Aiding Approach," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
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