Emerging smart city, transport and energy trends in urban settings: Results of a pan-European foresight exercise with 120 experts

Forecasting future trends constitutes a key process for supporting urban and territorial policy making in general. In this work, the authors explore how the domains of smart cities, smart transport, and smart energy will evolve until 2030 from a scientific and technological perspective, as a means to inform future policies for urban development in Europe. They started their work with an extensive review of recent and relevant research, covering policy and market reports, scientific journal articles, and other scientific publications. Then, a two-round Delphi survey with 120 field experts was conducted to assess the plausibility of the literature review findings to materialize until 2030. According to their empirical findings, there will be several speedy and structural changes in the three domains: they were able to identify a set of 18 statements that are highly probable to become reality in the next decade, whereas 17 statements were classified as plausible but not highly probable, and three statements raised controversiality. This work provides significant added value in supporting territorial policymakers' and stakeholders' decision making under uncertainty, as well as in designing highly relevant research agendas, attuned to contemporary and emerging trends.

• Record URL:
  https://doi.org/10.1016/j.techfore.2022.121915
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0040162522004371
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00401625
• Supplemental Notes:
  • © 2022 The Authors. Published by Elsevier Inc. Abstract reprinted with permission of Elsevier.
• Authors:
  • Angelidou, M
  • Politis, C
  • Panori, A
  • Barkratsas, T
  • Fellnhofer, K
• Publication Date: 2022-10

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: 121915
• Serial:
  • Technological Forecasting and Social Change
  • Volume: 183
  • Issue Number: 0
  • Publisher: Elsevier Science Publishing Company, Incorporated
  • ISSN: 0040-1625
  • Serial URL: http://www.sciencedirect.com/science/journal/00401625

Subject/Index Terms

• TRT Terms: Forecasting; Intelligent transportation systems; Surveys; Sustainable development; Urban development
• Geographic Terms: Europe
• Subject Areas: Data and Information Technology; Energy; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01859998
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 30 2022 2:27PM