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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Annals</journal-id>
<journal-title-group>
<journal-title>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Annals</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9050</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-annals-IV-4-W1-19-2016</article-id>
<title-group>
<article-title>THE DUBLIN DASHBOARD: DESIGN AND DEVELOPMENT OF A REAL-TIME
ANALYTICAL URBAN DASHBOARD</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>McArdle</surname>
<given-names>G.</given-names>
<ext-link>https://orcid.org/0000-0003-0613-546X</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kitchin</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>UCD School of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>National Institute for Regional and Spatial Analysis, National University of Ireland Maynooth, Co. Kildare, Ireland</addr-line>
</aff>
<pub-date pub-type="epub">
<day>05</day>
<month>09</month>
<year>2016</year>
</pub-date>
<volume>IV-4/W1</volume>
<fpage>19</fpage>
<lpage>25</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2016 G. McArdle</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/IV-4-W1/19/2016/isprs-annals-IV-4-W1-19-2016.html">This article is available from https://isprs-annals.copernicus.org/articles/IV-4-W1/19/2016/isprs-annals-IV-4-W1-19-2016.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/IV-4-W1/19/2016/isprs-annals-IV-4-W1-19-2016.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/IV-4-W1/19/2016/isprs-annals-IV-4-W1-19-2016.pdf</self-uri>
<abstract>
<p>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.</p>
</abstract>
<counts><page-count count="7"/></counts>
</article-meta>
</front>
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</article>