| description abstract | Urban regeneration projects (URPs) play a vital role in promoting urban development because they encompass a wide range of complex and systematic initiatives related to buildings, facilities, and environments. Mindlessly selecting regeneration contents often leads to difficulties in implementation and poor results of URPs. Therefore, it is essential to identify key regeneration contents based on their characteristics to enhance the effectiveness and orderly implementation of URPs. To solve this issue, this study constructed a network model of urban regeneration using social network analysis to leverage experiential knowledge. By employing text mining techniques on urban regeneration policies, a comprehensive list of potential regeneration contents was generated. Key regeneration contents were identified by considering their importance and interaction influence degree through network analysis techniques, leading to the formulation of systematic regeneration strategies. The study found that urban regeneration exhibits significant systematic characteristics. The key regeneration contents include building body and lighting facilities that meet living demands, parking facilities and road networks that offer higher quality services, and public spaces and support service facilities that are vulnerable to natural deterioration. The effectiveness of the systematic regeneration strategies, such as deeply carrying out the warm house projects, promoting the construction of complete residential areas and living circles based on human-centric ideas, and Transit-Oriented-Development (TOD)-oriented regeneration, was quantitatively validated through network simulations. This research uncovers the intricate interactions among regeneration contents and highlights the key points of URPs by analyzing the regeneration experience of the pilot cities. The findings aim to assist policymakers in comprehensively understanding the systematic characteristics of URPs and offer valuable insights for guiding the implementation of urban regeneration practices and the formulation of regeneration policies. | |
