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How Could Smart Cities Use Data? – Towards a Taxonomy of Data-Driven Smart City Projects

In: Innovation Through Information Systems

Author

Listed:
  • Babett Kühne

    (University of Hamburg)

  • Kai Heidel

    (University of Hamburg)

Abstract

The process of urbanization has caused a huge growth in cities all over the world. This development makes the organization and infrastructure of an individual city increasingly important. In this context, the idea of a smart city is growing and smart city projects are beginning to appear. As the amount of data is growing with connected technologies, such projects rely on data as a key resource. However, current research does not provide an overview on these projects and which constructs are involved in data-driven smart city projects. Therefore, this research begins the building of a taxonomy on such projects through the establishment of a common language among researchers in this new field through eleven dimensions. Additionally, it develops a concrete conceptualization of data-driven smart city projects for practitioners as an initial guidance for the field of smart cities.

Suggested Citation

  • Babett Kühne & Kai Heidel, 2021. "How Could Smart Cities Use Data? – Towards a Taxonomy of Data-Driven Smart City Projects," Lecture Notes in Information Systems and Organization, in: Frederik Ahlemann & Reinhard Schütte & Stefan Stieglitz (ed.), Innovation Through Information Systems, pages 351-366, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-86790-4_24
    DOI: 10.1007/978-3-030-86790-4_24
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    Cited by:

    1. Bibri, Simon Elias, 2022. "Eco-districts and data-driven smart eco-cities: Emerging approaches to strategic planning by design and spatial scaling and evaluation by technology," Land Use Policy, Elsevier, vol. 113(C).
    2. Zaheer Allam & Ayyoob Sharifi & Simon Elias Bibri & Didier Chabaud, 2022. "Emerging Trends and Knowledge Structures of Smart Urban Governance," Sustainability, MDPI, vol. 14(9), pages 1-29, April.

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