韧性城市研究的国内外进展及展望*
Domestic and Overseas Research Progress and Trend on Resilient City
郭文韬
南京大学建筑与城市规划学院 南京大学城市安全发展研究中心 硕士研究生
翟国方（通信作者）
南京大学建筑与城市规划学院 南京大学城市安全发展研究中心 教授，博士生导师
鲁钰雯
南京大学建筑与城市规划学院 南京大学城市安全发展研究中心 助理研究员，博士
摘要: 城市发展面临着诸多安全挑战，韧性城市已经成为当下抵御和适应城市灾害风险的研究和实践热点。基于文献计量分析方法，使用CiteSpace和VOSviewer可视化工具，分别对1991—2022年中英文文献的韧性城市研究进行知识图谱分析。结果表明：（1）中英文发文量都呈现早期增长缓慢、后期爆发式增长的趋势，目前仍处于增长过程中。（2）中文研究机构合作分散，英文研究机构合作更为紧密，国内机构与国外机构的合作力度有待加强。（3）研究热点聚集于规划设计、气候灾害、社会经济、社区治理4大视角。（4）英文的韧性城市研究已迈入成熟化阶段，中文的韧性城市研究尚处于应用化阶段的后期。最后，对韧性城市的理论研究、评估方法、技术探索、规划实践和效应评价5个方面的趋势进行展望，以期为我国韧性城市研究进一步深入提供参考。
Abstract: The rapid development of cities has brought safety challenges, and the resilient city has become the research and practice hotspot for resisting and adapting to urban disaster risks. Based on the bibliometric analysis method, the article carries out a knowledge graph analysis of the resilient city research in the Chinese and English literature from 1991 to 2022 by CiteSpace and VOSviewer visualization tools. The research results show that: (1) the volume of Chinese and English literature has shown a trend of slow growth in the early stage and explosive growth in the later stage, and is still growing. (2) The cooperation between Chinese research institutions is scattered, while the cooperation between English research institutions is closer. The cooperation between domestic institutions and foreign institutions needs to be strengthened. (3) Research mainly focuses on urban planning and design, climate disasters, social economy, and urban governance. (4) The research on the resilient city in English has entered a mature stage, while the Chinese research is still in the late stage of application. Finally, the article looks ahead to the trend of the theory research, evaluation methods, technology exploration, planning practice and effect evaluation of resilient cities, in order to provide references for further study of the resilient city in China.
关键词：韧性城市；知识图谱；文献计量；演进脉络；热点分析
Keyword: resilient city; knowledge map; bibliometrics; evolution; hot spot analysis
中图分类号：TU981
文献标识码: A
资金资助
江苏省自然科学基金 洪涝灾害情境下基于深度学习的城市精细时空尺度空间韧性动态优化路径 BK20220782
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