{"id":2668,"date":"2020-09-02T12:13:11","date_gmt":"2020-09-02T12:13:11","guid":{"rendered":"https:\/\/futurecities.iaac.net\/expo2020\/?page_id=2668"},"modified":"2020-09-02T13:23:28","modified_gmt":"2020-09-02T13:23:28","slug":"simulating-land-use-distribution","status":"publish","type":"page","link":"https:\/\/futurecities.iaac.net\/expo2020\/simulating-land-use-distribution\/","title":{"rendered":"Simulating Land Use Distribution"},"content":{"rendered":"
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Simulating Land Use Distribution<\/h1>\t\t\t\t\t
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MaCT 2019\/2020 \/ Computational Design II<\/h6><\/div><\/div><\/div><\/div>
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Faculty: Alex Mademochoritis, Eugenio Bettucchi, Rodrigo Aguirre<\/h1><\/div><\/div><\/div><\/div>
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Students: Kushal Suraiya, Rovianne Santiago, Andrew Saltzman, Jochen Morandell<\/h1>\t\t\t\t\t
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The land use distribution of a block, neighborhood, or district can be seen as a valuable data point that tells a story about that particular urban form. In the OECD article \u201cThe Governance of Land Use,\u201d the authors write \u201cLand use affects individual and collective wellbeing and is a critical factor in meeting the overarching goals of environmental sustainability, economic growth and social inclusion.\u201d Thus, we believe that being able to simulate land use distribution as a primary data point within a neighborhood opens the door to modeling additional environmental, economic, and social metrics. This tool would then prove valuable to a number of professions including real estate strategists, urban planners, economists, financial services, sociologists, etc.<\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div>

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Simulating land use distribution within a neighborhood opens the door to modeling additional environmental, economic, and social metrics.<\/span><\/p>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div>