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

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  • 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
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    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. Zhang, Jinning & Liu, Xinyu & Lyu, Yanwei, 2024. "Exploring innovative digital strategies for sustainable development: Addressing challenges of mineral resource scarcity," Resources Policy, Elsevier, vol. 93(C).
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. Sarah Giest, 2017. "Big data for policymaking: fad or fasttrack?," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(3), pages 367-382, September.
    9. 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).
    10. 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.
    11. 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.
    12. 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.

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