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Progress in urban resilience research and hotspot analysis: a global scientometric visualization analysis using CiteSpace

Increasing global climate change has led to increasingly sudden, abnormal, and complex natural disasters. Global disaster governance is facing complex and severe challenges. Urban resilience research (URR) can help cities withstand disasters and quickly recover from adversities through the rational...

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Detalles Bibliográficos
Autores principales: Liu, Yijun, Li, Qin, Li, Wenlong, Zhang, Yang, Pei, Xingwang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034878/
https://www.ncbi.nlm.nih.gov/pubmed/35461416
http://dx.doi.org/10.1007/s11356-022-20138-9
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author Liu, Yijun
Li, Qin
Li, Wenlong
Zhang, Yang
Pei, Xingwang
author_facet Liu, Yijun
Li, Qin
Li, Wenlong
Zhang, Yang
Pei, Xingwang
author_sort Liu, Yijun
collection PubMed
description Increasing global climate change has led to increasingly sudden, abnormal, and complex natural disasters. Global disaster governance is facing complex and severe challenges. Urban resilience research (URR) can help cities withstand disasters and quickly recover from adversities through the rational allocation of resources. Consequently, URR has attracted considerable attention from urban ecology researchers. Over the past decade, despite an increasing number of articles reported on URR, there has been no systematic theoretical framework, no comprehensive review of the research, and no clarity on how different perspectives have evolved. This research selects 1647 articles related to global urban resilience from the Web of Science Core Collection and performs a global scientometric visualization analysis using CiteSpace and ArcGIS software. In this study, we visually display the most productive institutions, authors, and sources in URR. Additionally, we explain how research topics have changed over time and analyze research frontiers. The results show that (1) URR has accelerated globally in the last decade; (2) research hotspots are mainly concentrated in environmental science and ecology, science and technology, and water resources; and (3) URR is gradually becoming a multidisciplinary research field. Our research reveals the status and future trends of URR through quantitative visualization methods, helping to address some emerging and unexpected risks and vulnerabilities. SUPPORTING INFORMATION: The online version of this article (10.1007/s11356-022-20138-9)
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spelling pubmed-90348782022-04-25 Progress in urban resilience research and hotspot analysis: a global scientometric visualization analysis using CiteSpace Liu, Yijun Li, Qin Li, Wenlong Zhang, Yang Pei, Xingwang Environ Sci Pollut Res Int Research Article Increasing global climate change has led to increasingly sudden, abnormal, and complex natural disasters. Global disaster governance is facing complex and severe challenges. Urban resilience research (URR) can help cities withstand disasters and quickly recover from adversities through the rational allocation of resources. Consequently, URR has attracted considerable attention from urban ecology researchers. Over the past decade, despite an increasing number of articles reported on URR, there has been no systematic theoretical framework, no comprehensive review of the research, and no clarity on how different perspectives have evolved. This research selects 1647 articles related to global urban resilience from the Web of Science Core Collection and performs a global scientometric visualization analysis using CiteSpace and ArcGIS software. In this study, we visually display the most productive institutions, authors, and sources in URR. Additionally, we explain how research topics have changed over time and analyze research frontiers. The results show that (1) URR has accelerated globally in the last decade; (2) research hotspots are mainly concentrated in environmental science and ecology, science and technology, and water resources; and (3) URR is gradually becoming a multidisciplinary research field. Our research reveals the status and future trends of URR through quantitative visualization methods, helping to address some emerging and unexpected risks and vulnerabilities. SUPPORTING INFORMATION: The online version of this article (10.1007/s11356-022-20138-9) Springer Berlin Heidelberg 2022-04-23 2022 /pmc/articles/PMC9034878/ /pubmed/35461416 http://dx.doi.org/10.1007/s11356-022-20138-9 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Liu, Yijun
Li, Qin
Li, Wenlong
Zhang, Yang
Pei, Xingwang
Progress in urban resilience research and hotspot analysis: a global scientometric visualization analysis using CiteSpace
title Progress in urban resilience research and hotspot analysis: a global scientometric visualization analysis using CiteSpace
title_full Progress in urban resilience research and hotspot analysis: a global scientometric visualization analysis using CiteSpace
title_fullStr Progress in urban resilience research and hotspot analysis: a global scientometric visualization analysis using CiteSpace
title_full_unstemmed Progress in urban resilience research and hotspot analysis: a global scientometric visualization analysis using CiteSpace
title_short Progress in urban resilience research and hotspot analysis: a global scientometric visualization analysis using CiteSpace
title_sort progress in urban resilience research and hotspot analysis: a global scientometric visualization analysis using citespace
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034878/
https://www.ncbi.nlm.nih.gov/pubmed/35461416
http://dx.doi.org/10.1007/s11356-022-20138-9
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