Cited by 555Smart Cities and TechnologiesArtificial Intelligence ApplicationsAI and Big Data Applications

Contributions and risks of artificial intelligence (AI) in building smarter cities: insights from a systematic review of the literature

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Yigitcanlar, Tan, Desouza, Kevin, Butler, Luke, Roozkhosh, Farnoosh·2020·Energies

Abstract

Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban locations that are enabled by community, technology, and policy to deliver productivity, innovation, livability, wellbeing, sustainability, accessibility, good governance, and good planning—has increased the demand for AI-enabled innovations. There is, nevertheless, no scholarly work that provides a comprehensive review on the topic. This paper generates insights into how AI can contribute to the development of smarter cities. A systematic review of the literature is selected as the methodologic approach. Results are categorized under the main smart city development dimensions, i.e., economy, society, environment, and governance. The findings of the systematic review containing 93 articles disclose that: (a) AI in the context of smart cities is an emerging field of research and practice. (b) The central focus of the literature is on AI technologies, algorithms, and their current and prospective applications. (c) AI applications in the context of smart cities mainly concentrate on business efficiency, data analytics, education, energy, environmental sustainability, health, land use, security, transport, and urban management areas. (d) There is limited scholarly research investigating the risks of wider AI utilization. (e) Upcoming disruptions of AI in cities and societies have not been adequately examined. Current and potential contributions of AI to the development of smarter cities are outlined in this paper to inform scholars of prospective areas for further research.

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Research works printed but not linked: 2

  1. Desouza, K.C.; Smith, K.L. Big Data and Planning; American Planning Association: Washington, DC, USA, 2016; Volume 585, pp. 2-102.
  2. Reaz, M.B. Artificial intelligence techniques for advanced smart home implementation. Acta Tech. Corvininesis Bull. Eng. 2013, 6, 51-57.

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Authors
Yigitcanlar, T., Desouza, K., Butler, L., & Roozkhosh, F.
Affiliations
  • School of Built Environment, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, Australia
  • Queensland University of Technology (AU)
  • University of Guilan (IR)
Venue
Energies
Publisher
MDPI AG
Published
2020-03-20
Volume
13
Issue
6
Pages
1473
ISSN
1996-1073 (ISSN-L)
OpenAlex
W3011648816
Cited by
555
References
175
Citations by year
2026: 85 · 2025: 104 · 2024: 112 · 2023: 93 · 2022: 73 · 2021: 58 · 2020: 30
FWCI
5.34
Type
journal article
Language
en
Open access
Locations
  • Energies (publishedVersion, cc-by)
  • QUT ePrints (Queensland University of Technology) (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Physical Sciences › Computer Science › Information Systems › AI and Big Data Applications
Keywords
artificial intelligence, smart cities, urban innovation, AI risks, urban governance, environmental sustainability, urban management, transportation, energy, land use, security, data analytics, enterprise efficiency

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