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The urban data deluge: challenges for smart urban planning in the third data revolution

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  • Karima Kourtit
  • Peter Elmlund
  • Peter Nijkamp

Abstract

Effective urban planning is increasingly affected and governed by the current information society. This paper argues that the so-called third data revolution creates unprecedented challenges for sustainable city policy in the digital age. Three types of data revolutions are distinguished in this paper. The nowadays popular notion of smart cities may be helpful to enhance the cognitive quality of urban policy-making, but leads also to new issues on complex data handling in the modern age of social media and digital information systems. The various issues at stake are outlined in this paper, while this study is concluded with a sketch of the contours of a so-called smart city policy fly-wheel, so as to demonstrate that the urban fabric – also in a smart city context – is always work in progress, with a view to the achievement of sustainable development goals.Highlights The birth of the smart cities concept originates from the third data revolution.Sustainable city policy calls for smart data management.In the ‘New Urban World’ systematic data warehousing is needed.The tension between closed administrative city borders and open data systems can be bridged.The attainment of sustainable development goals (SDGs) presupposes smart city policy.

Suggested Citation

  • Karima Kourtit & Peter Elmlund & Peter Nijkamp, 2020. "The urban data deluge: challenges for smart urban planning in the third data revolution," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 24(4), pages 445-461, October.
    • Handle: RePEc:taf:rjusxx:v:24:y:2020:i:4:p:445-461
    DOI: 10.1080/12265934.2020.1755353
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    Cited by:

    1. Dani Broitman & Karima Kourtit, 2021. "The New Data Revolution in Regional Science: A Tribute to the Late Stan Czamanski," International Regional Science Review, , vol. 44(3-4), pages 323-327, May.
    2. Raquel Pérez‐delHoyo & Higinio Mora & José Manuel Nolasco‐Vidal & Rubén Abad‐Ortiz & Rafael A. Mollá‐Sirvent, 2021. "Addressing new challenges in smart urban planning using Information and Communication Technologies," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(3), pages 342-354, May.
    3. Svitlana Pyrohova & Jiafei Hu & Jonathan Corcoran, 2023. "Urban land use transitions: Examining change over 19 years using sequence analysis. The case of South-East Queensland, Australia," Environment and Planning B, , vol. 50(9), pages 2579-2593, November.
    4. Türk, Umut & Östh, John & Kourtit, Karima & Nijkamp, Peter, 2021. "The path of least resistance explaining tourist mobility patterns in destination areas using Airbnb data," Journal of Transport Geography, Elsevier, vol. 94(C).
    5. Vaia Moustaka & Antonios Maitis & Athena Vakali & Leonidas G. Anthopoulos, 2021. "Urban Data Dynamics: A Systematic Benchmarking Framework to Integrate Crowdsourcing and Smart Cities’ Standardization," Sustainability, MDPI, vol. 13(15), pages 1-43, July.

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