Abdulaziz I. Almulhim, Ayyoob Sharifi, Yusuf A. Aina, Shakil Ahmad, Luca Mora, Walter Leal Filho, Ismaila Rimi Abubakar
{"title":"Charting sustainable urban development through a systematic review of SDG11 research","authors":"Abdulaziz I. Almulhim, Ayyoob Sharifi, Yusuf A. Aina, Shakil Ahmad, Luca Mora, Walter Leal Filho, Ismaila Rimi Abubakar","doi":"10.1038/s44284-024-00117-6","DOIUrl":null,"url":null,"abstract":"The Sustainable Development Goal (SDG) 11 underscores the imperative of creating inclusive, safe, resilient and sustainable cities and communities by 2030. Here we employ bibliometric techniques to assess the evolving landscape of SDG11 research. Using a comprehensive dataset of over 21,000 scholarly publications, we investigate publication trends, thematic focus areas, authorship patterns, keyword co-occurrences and citation networks related to SDG11 research. The results reveal a consistent increase in research output, reflecting the growing global interest in urban sustainability studies. We identify influential authors, organizations and countries shaping the research landscape, highlighting existing global collaborative networks and emerging research hubs. Core thematic areas emphasize critical topics and interdisciplinary connections. Citation networks underscore the impacts of disseminating research outputs, including seminal works. This study offers insights for policymakers, academics and practitioners to align their collective efforts toward sustainable, inclusive and climate-resilient urban development. Moreover, it advances SDG11 by noting opportunities for further research, knowledge dissemination and international collaboration. Using bibliometric techniques, this Article assesses the evolving landscape of Sustainable Development Goal (SDG) 11 research, highlighting publication trends, thematic focus areas, authorship patterns, keyword co-occurrences and citation networks.","PeriodicalId":501700,"journal":{"name":"Nature Cities","volume":"1 10","pages":"677-685"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44284-024-00117-6.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Cities","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44284-024-00117-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Sustainable Development Goal (SDG) 11 underscores the imperative of creating inclusive, safe, resilient and sustainable cities and communities by 2030. Here we employ bibliometric techniques to assess the evolving landscape of SDG11 research. Using a comprehensive dataset of over 21,000 scholarly publications, we investigate publication trends, thematic focus areas, authorship patterns, keyword co-occurrences and citation networks related to SDG11 research. The results reveal a consistent increase in research output, reflecting the growing global interest in urban sustainability studies. We identify influential authors, organizations and countries shaping the research landscape, highlighting existing global collaborative networks and emerging research hubs. Core thematic areas emphasize critical topics and interdisciplinary connections. Citation networks underscore the impacts of disseminating research outputs, including seminal works. This study offers insights for policymakers, academics and practitioners to align their collective efforts toward sustainable, inclusive and climate-resilient urban development. Moreover, it advances SDG11 by noting opportunities for further research, knowledge dissemination and international collaboration. Using bibliometric techniques, this Article assesses the evolving landscape of Sustainable Development Goal (SDG) 11 research, highlighting publication trends, thematic focus areas, authorship patterns, keyword co-occurrences and citation networks.