{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/107957"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/107957","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Multivariate optimization of neighborhood scale problems for economic, environmental, and social sustainability","abstract":"This thesis begins by arguing that the architectural profession has fallen out of balance. I contend that the series of objectives which compete for the architect’s attention have been gradually subsumed by economic concerns. As a means of empirically seeking to restore a balance, a method is proposed for quantitatively determining the trade-offs between the social, economic, and environmental sustainability of an architectural problem. The method is tested on a neighborhood-scale mega-development. This scale of built environment intervention falls between the building scale work of architects and the city scale of urban designers and geographers. The selected design intervention is in Chicago, Illinois with variables including the number of buildings, their use, and the height of each type of building. Solutions are optimized for Social, Economic, and/or Environmentally sustainability outcomes using a single-objective genomic algorithm. A multi-objective genomic algorithm is then utilized to evaluate all three sustainability objectives simultaneously. Solutions to the chosen problem are proposed and contextualized within the “restoring balance” framework discussed above. The outcomes appear to show that such a process can be efficacious in quantitatively balancing the sustainability based trade-offs implicit to the design process.","abstract_html":"This thesis begins by arguing that the architectural profession has fallen out of balance. I contend that the series of objectives which compete for the architect’s attention have been gradually subsumed by economic concerns. As a means of empirically seeking to restore a balance, a method is proposed for quantitatively determining the trade-offs between the social, economic, and environmental sustainability of an architectural problem. The method is tested on a neighborhood-scale mega-development. This scale of built environment intervention falls between the building scale work of architects and the city scale of urban designers and geographers. The selected design intervention is in Chicago, Illinois with variables including the number of buildings, their use, and the height of each type of building. Solutions are optimized for Social, Economic, and/or Environmentally sustainability outcomes using a single-objective genomic algorithm. A multi-objective genomic algorithm is then utilized to evaluate all three sustainability objectives simultaneously. Solutions to the chosen problem are proposed and contextualized within the “restoring balance” framework discussed above. The outcomes appear to show that such a process can be efficacious in quantitatively balancing the sustainability based trade-offs implicit to the design process.","abstract_has_math":false,"creators":["Mosey, Grant Norman"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Architecture","degree_department":null,"school":null,"contributors":["Deal, Brian","Boubekri, Mohamed","Strand, Richard K.","Yi, Yun Kyu"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-08-26T21:54:44Z","date_published":"2020-08-26T21:54:44Z","updated_at":"2026-07-22T22:24:47Z","subjects":["Optimization","Sustainability","Multivariate","Urban Design","Tall Buildings","Megaproject","Urban Infill"],"languages":["en"],"rights":["Copyright 2020 Grant Mosey"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/107957","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Deal, Brian","Boubekri, Mohamed","Strand, Richard K.","Yi, Yun Kyu"]},{"key":"dc:creator","label":"Author","values":["Mosey, Grant Norman"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-08-26T21:54:44Z","2020-05-04","2020-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Architecture"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Optimization","Sustainability","Multivariate","Urban Design","Tall Buildings","Megaproject","Urban Infill"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2020 Grant Mosey"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/107957"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This thesis begins by arguing that the architectural profession has fallen out of balance. I contend that the series of objectives which compete for the architect’s attention have been gradually subsumed by economic concerns. As a means of empirically seeking to restore a balance, a method is proposed for quantitatively determining the trade-offs between the social, economic, and environmental sustainability of an architectural problem. The method is tested on a neighborhood-scale mega-development. This scale of built environment intervention falls between the building scale work of architects and the city scale of urban designers and geographers. The selected design intervention is in Chicago, Illinois with variables including the number of buildings, their use, and the height of each type of building. Solutions are optimized for Social, Economic, and/or Environmentally sustainability outcomes using a single-objective genomic algorithm. A multi-objective genomic algorithm is then utilized to evaluate all three sustainability objectives simultaneously. 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