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  • 标题:URBAN SUSTAINABILITY ANALYTICS: HARNESSING BIG DATA FOR SMART CITY PLANNING AND DESIGN
  • 本地全文:下载
  • 作者:Gheorghe H. POPESCU ; George LĂZĂROIU ; Maria KOVACOVA
  • 期刊名称:Theoretical and Empirical Researches in Urban Management
  • 印刷版ISSN:2065-3913
  • 电子版ISSN:2065-3921
  • 出版年度:2020
  • 卷号:15
  • 期号:2
  • 页码:1-10
  • 出版社:Research Centre in Public Administration and Public Services, Academy of Economic Studies
  • 摘要:We develop a conceptual framework based on a systematic and comprehensive literature review on urban sustainability analytics. Building our argument by drawing on data collected from ESI ThoughtLab, KPMG, McKinsey, and Osborne Clarke, we performed analyses and made estimates regarding most needed changes to improve smart cities’ living environment (%), the return on, and the economic benefits of, investments in smart city pillars by maturity stage (%), and how smart city applications can contribute to a safer urban environment (%). The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 3,800 respondents.
  • 关键词:urban sustainability; big data analytics; smart city; planning; design.
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