IDEAS home Printed from https://ideas.repec.org/a/taf/eurpls/v25y2017i6p941-957.html
   My bibliography  Save this article

Big data analytics for mitigating carbon emissions in smart cities: opportunities and challenges

Author

Listed:
  • Sarah Giest

Abstract

The paper addresses the growing scepticism around big data use in the context of smart cities. Big data is said to transform city governments into being more efficient, effective and evidence-based. However, critics point towards the limited capacity of government to overcome the siloed structure of data storage and manage the diverse stakeholders involved in setting up a data ecosystem. On the basis of this, the paper investigates the challenges city governments face when dealing with big data in the context of carbon emission reduction. Through the lens of the evidence-based policy and policy capacity literature, the cities of Copenhagen (Denmark), London (UK), Malmö (Sweden), Oxford (UK) and Vienna (Austria) are analysed. The cases reveal that the institutional complexity underlying big data integration limits local government capacity to set up data management structures that would allow further utilization of big data and that current solutions focus on local pilot sites and outsourcing of data analytics.

Suggested Citation

  • Sarah Giest, 2017. "Big data analytics for mitigating carbon emissions in smart cities: opportunities and challenges," European Planning Studies, Taylor & Francis Journals, vol. 25(6), pages 941-957, June.
    • Handle: RePEc:taf:eurpls:v:25:y:2017:i:6:p:941-957
    DOI: 10.1080/09654313.2017.1294149
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09654313.2017.1294149
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09654313.2017.1294149?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Angel Hsu & Li Lili & Marco Schletz & Zhitong Yu, 2024. "Chinese cities as digital environmental governance innovators: Evidence from subnational low-Carbon plans," Environment and Planning B, , vol. 51(3), pages 572-589, March.
    2. Mora, Luca & Gerli, Paolo & Ardito, Lorenzo & Messeni Petruzzelli, Antonio, 2023. "Smart city governance from an innovation management perspective: Theoretical framing, review of current practices, and future research agenda," Technovation, Elsevier, vol. 123(C).
    3. Bin Huang & Ke Xing & Stephen Pullen & Lida Liao, 2020. "Exploring Carbon Neutral Potential in Urban Densification: A Precinct Perspective and Scenario Analysis," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
    4. Long Qian & Xiaolin Xu & Yunjie Zhou & Ying Sun & Duoliang Ma, 2023. "Carbon Emission Reduction Effects of the Smart City Pilot Policy in China," Sustainability, MDPI, vol. 15(6), pages 1-24, March.
    5. Mahnoosh Hassankhani & Mehdi Alidadi & Ayyoob Sharifi & Abolghasem Azhdari, 2021. "Smart City and Crisis Management: Lessons for the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(15), pages 1-18, July.
    6. Sha, Kritika & Taeihagh, Araz & De Jong, Martin, 2024. "Governing disruptive technologies for inclusive development in cities: A systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    7. Sarah Giest, 2017. "Big data for policymaking: fad or fasttrack?," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(3), pages 367-382, September.
    8. Shobande, Olatunji A. & Ogbeifun, Lawrence & Tiwari, Aviral Kumar, 2024. "Unlocking information technology infrastructure for promoting climate resilience and environmental quality," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    9. Gupta, Anushri & Panagiotopoulos, Panos & Bowen, Frances, 2023. "Developing capabilities in smart city ecosystems: a multi-level approach," LSE Research Online Documents on Economics 118457, London School of Economics and Political Science, LSE Library.
    10. Barbara Caselli & Gloria Pellicelli & Silvia Rossetti & Michele Zazzi, 2022. "How Are Medium-Sized Cities Implementing Their Smart City Governance? Experiences from the Emilia-Romagna Region," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    11. Daniel Masini Espíndola & Márcio Lopes Pimenta & Cláudio Heleno Pinto da Silva & Ingridi Vargas Bortolaso, 2023. "Systematic Literature Review in Reshoring Strategies 4.0," Logistics, MDPI, vol. 7(3), pages 1-13, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:eurpls:v:25:y:2017:i:6:p:941-957. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CEPS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.