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    The Dublin Dashboard: Design and development of a real-time analytical urban dashboard.

    McArdle, Gavin and Kitchin, Rob (2016) The Dublin Dashboard: Design and development of a real-time analytical urban dashboard. In: First International Conference on Smart Data and Smart Cities; ISPRS Annals Photogrammetry, Remote Sensing and Spatial Information Sciences, III-4/W1, 7-9 September 2016, Split, Croatia.

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    As many cities increase in size across multiple dimensions such as population, economic output and physical size, new methods for understanding and managing cities are required. Data produced by and about urban environments offer insight into what is happening in cities. Real-time data from sensors within the city record current transport and environmental conditions such as noise levels, water levels, journey times and public transport delays. Similarly administrative data such as demographics, employment statistics, property prices and crime rates all provide insight into how a city is evolving. Traditionally, these data were maintained separately and managed by individual city departments. Advances in technology and a move to open-government have placed many of these data in the public domain. Urban dashboards have emerged as a technique to visualise these data in an accessible way. This paper describes the implementation of one such dashboard, the Dublin Dashboard, an interactive website which collects, analyses and visualises data from a variety of sources about Dublin in Ireland through a series of interactive maps, graphs and applications. This paper describes the approach, the data and the technology used to develop the Dublin Dashboard and acts as a guideline for developing urban dashboards in other cities.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Urban Data; City Dashboards; Analytics; Geovisual Analysis; Big Data;
    Academic Unit: Faculty of Social Sciences > Geography
    Faculty of Social Sciences > Research Institutes > National Institute for Regional and Spatial analysis, NIRSA
    Item ID: 7397
    Identification Number:
    Depositing User: Prof. Rob Kitchin
    Date Deposited: 29 Aug 2016 15:41
    Refereed: Yes
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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