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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</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-archives-XLI-B2-729-2016</article-id>
<title-group>
<article-title>REAL-TIME ENVIRONMENTAL SENSORS TO IMPROVE HEALTH IN THE SENSING  CITY</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Marek</surname>
<given-names>L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Campbell</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Epton</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Storer</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kingham</surname>
<given-names>S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Geography, University of Canterbury, Private Bag 4800, Christchurch, New Zealand</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Canterbury Respiratory Research Group, Respiratory Services, Canterbury District Health Board, Private Bag 4710, Christchurch, New Zealand</addr-line>
</aff>
<pub-date pub-type="epub">
<day>09</day>
<month>06</month>
<year>2016</year>
</pub-date>
<volume>XLI-B2</volume>
<fpage>729</fpage>
<lpage>733</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2016 L. Marek et al.</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-archives.copernicus.org/articles/XLI-B2/729/2016/isprs-archives-XLI-B2-729-2016.html">This article is available from https://isprs-archives.copernicus.org/articles/XLI-B2/729/2016/isprs-archives-XLI-B2-729-2016.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLI-B2/729/2016/isprs-archives-XLI-B2-729-2016.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLI-B2/729/2016/isprs-archives-XLI-B2-729-2016.pdf</self-uri>
<abstract>
<p>The opportunity of an emerging smart city in post-disaster Christchurch has been explored as a way to improve the quality of life of
people suffering Chronic Obstructive Pulmonary Disease (COPD), which is a progressive disease that affects respiratory function. It
affects 1 in 15 New Zealanders and is the 4th largest cause of death, with significant costs to the health system. While, cigarette
smoking is the leading cause of COPD, long-term exposure to other lung irritants, such as air pollution, chemical fumes, or dust can
also cause and exacerbate it. Currently, we do know little what happens to the patients with COPD after they leave a doctor’s care.
By learning more about patients’ movements in space and time, we can better understand the impacts of both the environment and
personal mobility on the disease. This research is studying patients with COPD by using GPS-enabled smartphones, combined with
the data about their spatiotemporal movements and information about their actual usage of medication in near real-time. We measure
environmental data in the city, including air pollution, humidity and temperature and how this may subsequently be associated with
COPD symptoms. In addition to the existing air quality monitoring network, to improve the spatial scale of our analysis, we
deployed a series of low-cost Internet of Things (IoT) air quality sensors as well. The study demonstrates how health devices,
smartphones and IoT sensors are becoming a part of a new health data ecosystem and how their usage could provide information
about high-risk health hotspots, which, in the longer term, could lead to improvement in the quality of life for patients with COPD.</p>
</abstract>
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