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What (Smart) Data Visualizations Can Offer to Smart City Science

Author

Listed:
  • Luca PIOVANO

    (Universidad Politécnica de Madrid)

  • David GARRIDO

    (Universidad Politécnica de Madrid)

  • Ricardo SILVA

    (Universidad Politécnica de Madrid)

  • Iris GALLOSO

    (Universidad Politécnica de Madrid)

Abstract

Understanding the complexity and dynamicity of cities, as well as predicting and leading their evolutions, are topics of interest of new scientific disciplines such as smart city and city science. The development of better urban theories and simulation models could be fostered by both the availability of suitable datasets illustrating several urban perspectives and approaches being able to actively explore them in order to reveal patterns, relationships and meaningful data facets hidden there. In this context, data visualization – namely information visualization and visual analytics – is more than a promising research field to get new insights into data evidence. Its holistic approach couples pictorial representations, human factors and data analysis in order to enforce viewers' cognitive process of learning. In this paper we aim at providing an overview of the data visualization problems by reviewing current efforts into urban visualization, especially when considering two critical city issues: urban planning and energy efficiency. In particular, our objective is two-fold: presenting the most common approaches to data visualization disciplines and contextualizing them into the most advanced European initiatives and projects. In parallel, we introduce some hints about the most promising research areas and challenges that the domain experts could tackle in the very next future.

Suggested Citation

  • Luca PIOVANO & David GARRIDO & Ricardo SILVA & Iris GALLOSO, 2014. "What (Smart) Data Visualizations Can Offer to Smart City Science," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(96), pages 89-112, 4th quart.
  • Handle: RePEc:idt:journl:cs9605
    as

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    References listed on IDEAS

    as
    1. John H. Miller & Scott E. Page, 2007. "Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    2. Caragliu, A. & Del Bo, C. & Nijkamp, P., 2009. "Smart cities in Europe," Serie Research Memoranda 0048, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    smart cities; data visualization; visual analysis; urban planning; energy efficiency.;
    All these keywords.

    JEL classification:

    • O2 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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