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Big data dashboards as smart decision support tools for i-cities – An experiment on stockholm

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  • Kourtit, Karima
  • Nijkamp, Peter

Abstract

This study addresses the strategic governance challenges of modern smart cities from the new viewpoint of big data management. It seeks to develop and highlight a systematic methodological framework for handling multivariate big data in a smart urban decision support context in the ‘New Urban World’, so as to enhance the cities’ competitive performance through the design and development of operational urban management principles and strategies. The specific aim of this paper is to provide the critical and basic cornerstones for an applicable interactive dashboard architecture as a supporting tool in a structured process of innovative city strategies and consequent enhanced socio-economic performance. A core element in the present paper is formed by a smart urban dashboard system that acts as an interactive navigation tool supporting operational choices of all stakeholders involved. This dashboard is able to integrate complex and ever-changing big data bases serving as ‘signposts’ of city intelligence (or i-city smartness) for daily or strategic decisions of all urban stakeholders. This study thus outlines successively the concept of smart i-cities in our ‘urban century’, the great potential of digital technology for managing big data in governing i-cities, and the foundations of an urban dashboard on the basis of the so-called Pentagon model as a policy strategy vehicle. Starting from extensive data on a broad set of global cities, the potential of this approach is exemplified by means of an illustrative application of a smart urban dashboard for the city of Stockholm.

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  • Kourtit, Karima & Nijkamp, Peter, 2018. "Big data dashboards as smart decision support tools for i-cities – An experiment on stockholm," Land Use Policy, Elsevier, vol. 71(C), pages 24-35.
  • Handle: RePEc:eee:lauspo:v:71:y:2018:i:c:p:24-35
    DOI: 10.1016/j.landusepol.2017.10.019
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    References listed on IDEAS

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    Cited by:

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    2. Ginevra Balletto & Alessandra Milesi & Mara Ladu & Giuseppe Borruso, 2020. "A Dashboard for Supporting Slow Tourism in Green Infrastructures. A Methodological Proposal in Sardinia (Italy)," Sustainability, MDPI, vol. 12(9), pages 1-23, April.
    3. Ratchayuda Kongboon & Shabbir H. Gheewala & Sate Sampattagul, 2021. "Empowering a Sustainable City Using Self-Assessment of Environmental Performance on EcoCitOpia Platform," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    4. Olszewski, Robert & Wendland, Agnieszka, 2021. "Digital Agora – Knowledge acquisition from spatial databases, geoinformation society VGI and social media data," Land Use Policy, Elsevier, vol. 109(C).
    5. 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.
    6. Duggal, Angel Swastik & Singh, Rajesh & Gehlot, Anita & Gupta, Lovi Raj & Akram, Sheik Vaseem & Prakash, Chander & Singh, Sunpreet & Kumar, Raman, 2021. "Infrastructure, mobility and safety 4.0: Modernization in road transportation," Technology in Society, Elsevier, vol. 67(C).
    7. Karima Kourtit, 2021. "City intelligence for enhancing urban performance value: a conceptual study on data decomposition in smart cities," Asia-Pacific Journal of Regional Science, Springer, vol. 5(1), pages 191-222, February.
    8. Fang‐Li Ruan & Liang Yan, 2022. "Challenges facing indicators to become a universal language for sustainable urban development," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 41-57, February.
    9. Nuno Marques da Costa & Nelson Mileu & André Alves, 2021. "Dashboard COMPRIME_COMPRI_MOv: Multiscalar Spatio-Temporal Monitoring of the COVID-19 Pandemic in Portugal," Future Internet, MDPI, vol. 13(2), pages 1-17, February.
    10. Kourtit, Karima & Nijkamp, Peter & Wahlström, Marie Hårsman, 2021. "How to make cities the home of people – a ‘soul and body’ analysis of urban attractiveness," Land Use Policy, Elsevier, vol. 111(C).
    11. Cristina ALPOPI & Stefan Gabriel BURCEA & Ruxandra Irina POPESCU & Sorin BURLACU, 2022. "Evaluation Of Romania'S Progress In Achieving Sdg 11: Sustainable Cities And Communities," APPLIED RESEARCH IN ADMINISTRATIVE SCIENCES, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 3(2), pages 76-87, August.
    12. Marta Bottero & Caterina Caprioli & Giancarlo Cotella & Marco Santangelo, 2019. "Sustainable Cities: A Reflection on Potentialities and Limits based on Existing Eco-Districts in Europe," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    13. Changfeng Jing & Mingyi Du & Songnian Li & Siyuan Liu, 2019. "Geospatial Dashboards for Monitoring Smart City Performance," Sustainability, MDPI, vol. 11(20), pages 1-23, October.
    14. Kourtit, Karima & Nijkamp, Peter & Türk, Umut & Wahlstrom, Mia, 2022. "City love and place quality assessment of liveable and loveable neighbourhoods in Rotterdam," Land Use Policy, Elsevier, vol. 119(C).
    15. Sarbeswar Praharaj & Patricia Solis & Elizabeth A Wentz, 2023. "Deploying geospatial visualization dashboards to combat the socioeconomic impacts of COVID-19," Environment and Planning B, , vol. 50(5), pages 1262-1279, June.
    16. Glaeser, Edward & Kourtit, Karima & Nijkamp, Peter, 2021. "New urban challenges: Shared spaces in smart places – Overview and positioning," Land Use Policy, Elsevier, vol. 111(C).

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