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Addressing Data Challenges to Drive the Transformation of Smart Cities

  • Ekaterina Gilman
  • , Francesca Bugiotti
  • , Ahmed Khalid
  • , Hassan Mehmood
  • , Panos Kostakos
  • , Lauri Tuovinen
  • , Johanna Ylipulli
  • , Xiang Su
  • , Denzil Ferreira
  • University of Oulu
  • University of Paris-Saclay
  • Dell Research, Ireland
  • Norwegian University of Science and Technology

Research output: Contribution to journalArticleScientificpeer-review

38 Citations (Scopus)
238 Downloads (Pure)

Abstract

Cities serve as vital hubs of economic activity and knowledge generation and dissemination. As such, cities bear a significant responsibility to uphold environmental protection measures while promoting the welfare and
living comfort of their residents. There are diverse views on the development of smart cities, from integrating Information and Communication Technologies into urban environments for better operational decisions to supporting sustainability, wealth, and comfort of people. However, for all these cases, data are the key ingredient and enabler for the vision and realization of smart cities. This article explores the challenges associated with smart city data. We start with gaining an understanding of the concept of a smart city, how to measure that the city is a smart one, and what architectures and platforms exist to develop one. Afterwards, we research the challenges associated with the data of the cities, including availability, heterogeneity, management, analysis, privacy, and security. Finally, we discuss ethical issues. This article aims to serve as a “one-stop shop” covering data-related issues of smart cities with references for diving deeper into particular topics of interest.
Original languageEnglish
Article number88
Pages (from-to)1-65
Number of pages65
JournalACM Transactions on Intelligent Systems and Technology
Volume15
Issue number5
DOIs
Publication statusPublished - 7 Nov 2024
MoE publication typeA1 Journal article-refereed

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  3. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  4. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  5. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Big data
  • Data analysis
  • Machine learning
  • Smart city
  • Urban computing

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