Natural and artificial green infrastructure (GI) for sustainable resilient cities: A scientometric analysis

社会网络分析 中心性 索引(排版) 科学引文索引 智能增长 可持续发展 地理 引用 自然资源 环境经济学 环境资源管理 业务 区域科学 环境规划 工程类 计算机科学 城市规划 政治学 环境科学 社会化媒体 图书馆学 土木工程 数学 经济 统计 万维网 法学
作者
Aqib Zahoor,Tao Xu,Wei Miao,Muhammad Dawood,Sandylove Afrane,Ying Liu,Jian Lin Chen,Guozhu Mao
出处
期刊:Environmental Impact Assessment Review [Elsevier BV]
卷期号:101: 107139-107139 被引量:6
标识
DOI:10.1016/j.eiar.2023.107139
摘要

Sustainable growth of resilient cities (RCs) requires equal development and monitoring of natural and artificial ecosystems, such as biodiversity, transportation, building, legislation, etc. We applied the scientometric analysis combined with social network analysis and S-curve technique by using VOSviewer and Netdraw software to quantitatively analyze 7684 publications related to GI and RCs in the Scientific Citation Index (SCI) and Social Sciences Citation Index (SSCI) databases from 2000 to 2021. Results showed that: (1) Publications on GI and RCs have increased from 30 in 2000 to 913 in 2021 with steady annual increasing rate, and researchers have focused on improvement of natural and societal challenges. (2) The United States and China had the highest number of publications (n = 977, 15.66%; n=541, 8.93% of global output) and were core countries in the international cooperation network. The most productive author and institution are “Wang, Y.” with 23 publications and “Chinese Academy of Science” with 109 publications. (3) By co-occurrence keywords analysis, the degree of centrality: urban resilient (degree = 188), natural environment (degree = 187), green infrastructure (degree = 185), artificial environment (degree = 185), smart cities (degree = 175) and resilient cities (degree = 175) were hot research topics. (4) S-curve analysis demonstrates that transportation, CO2 emission, biodiversity, and urban planning are hot scientific areas with considerable potential. Social and smart ecosystems are nearing maturity. Finally, (5) “natural and artificial” & “RCs ecosystem” frameworks provide essential components and their importance for the sustainable growth of RCs. Decision makers and academics can learn by identifying research gaps, tracking research trends, identifying key actors, and evaluating impact. Overall, bibliometric analysis can provide decision makers and academics with valuable insights into the state of research on RCs, which can help inform policy, practice and advance knowledge in the field.

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