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      <div class="TdmEntry">Overall Objectives<ul><li><a href="./uid3.html">Overview</a></li><li><a href="./uid5.html">Sustainable development: issues and research opportunities</a></li></ul></div>
      <div class="TdmEntry">Research Program<ul><li><a href="uid10.html&#10;&#9;&#9;  ">Development of numerical systemic models (economy / society /environment) at local scales</a></li><li><a href="uid13.html&#10;&#9;&#9;  ">Model calibration and validation</a></li><li><a href="uid14.html&#10;&#9;&#9;  ">Sensitivity analysis</a></li></ul></div>
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	    Raweb 
	    2017</a> | <a href="http://www.inria.fr/en/teams/steep">Presentation of the Project-Team STEEP</a> | <a href="https://team.inria.fr/steep/">STEEP Web Site
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        <h2>Section: 
      New Software and Platforms</h2>
        <h3 class="titre3">LUM_OSM</h3>
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          <i>Land Use Mix calculation from OpenStreepMap data</i>
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        <p class="notaparagraph"><span class="smallcap">Functional Description: </span> The software uses Mapzen Metro Extracts to retrieve the OpenStreetMap data of a given region in the PostgreSQL format. Afterwards, a continuous representation of residential and activity land uses is created. Finally, a GIS output containing the degree of land use mixture is calculated by means of using the land uses maps.
The implemented approach is documented in the paper "A framework for evaluating urban land use mix from crowd-sourcing data", http://hal.inria.fr/hal-01396792</p>
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            <p class="notaparagraph"><a name="uid55"> </a>Participants: Luciano Gervasoni, Marti Bosch Padros, Peter Sturm and Serge Fenet</p>
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            <p class="notaparagraph"><a name="uid56"> </a>Partners: EPFL - Ecole Polytechnique Fédérale de Lausanne - LIRIS</p>
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            <p class="notaparagraph"><a name="uid57"> </a>Contact: Peter Sturm</p>
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            <p class="notaparagraph"><a name="uid58"> </a>URL: <a href="http://github.com/martibosch/landusemix">http://github.com/martibosch/landusemix</a></p>
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