文献类型：期刊文献

英文题名：Developing an indicator framework for sustainability assessment in urban community regeneration: A case of Shanghai

作者：Li, Wenzhu[1];Meng, Meng[2];Llewellyn, Clark E.[3];Sun, Tongyu[4]

机构：[1]East China Univ Sci & Technol, Sch Art Design & Media, Shanghai 200237, Peoples R China;[2]South China Univ Technol, Fac Architecture, Guangzhou 510641, Peoples R China;[3]Univ Hawaii Manoa, Sch Architecture, Honolulu, HI 96822 USA;[4]Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China

年份：2024

卷号：18

外文期刊名：DEVELOPMENTS IN THE BUILT ENVIRONMENT

收录：;EI(收录号：20242416227811);WOS:【SCI-EXPANDED(收录号:WOS:001256388700001)】；

基金：This work was supported by the National Key Research and Devel- opment Program of China [Grant No. 2023YFC3805400] , the Funda- mental Research Funds for the Central Universities [Grant No. JKZ02242201] , the National Natural Science Foundation of China [Grant Nos. 52378068, 52108050] , and the Guangdong Basic and Applied Basic Research Foundation [Grant Nos. 2023A1515011653, 2024A1515011547] . The authors also thank Mr. Meng Lu and Dr. Yuling Zhao for providing feedback on the research.

语种：英文

外文关键词：Sustainability assessment; Urban community regeneration; Indicator framework; Bayesian best -worst method; Weight allocation

摘要：Sustainability assessment is essential in urban community regeneration process. Nevertheless, there is a lack of research on quantifying sustainable urban regeneration at the community scale, while the selecting and weighting of relevant indicators are subjective and one-sided. Meanwhile, given the inadequacy of international sustainability assessment tools in addressing local urban challenges, this study aims to develop a communityscale indicator framework for sustainability assessment in urban regeneration in Shanghai, China. The study initially establishes a four-level hierarchical structure and an alternative indicator database. Appropriate indicators are then selected using the Delphi method, while weights are derived via the Bayesian best-worst method. The proposed indicator framework comprises 38 indicators from 7 elements with weights across various levels. Notably, resource utilization, ecological environment, and green building elements exhibit higher weights, indicating their priority in urban community regeneration. This framework covers environmental, social, and economic aspects, employing a comparatively objective selection of indicators, along with localized weights that incorporate local knowledge. It can aid in identifying communities requiring urgent regeneration and pinpointing significant issues, thereby guiding the regeneration process and suggesting appropriate response strategies for urban planners and designers.