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dc.contributor.advisorMark Goulthorpe.en_US
dc.contributor.authorFink, Daniel, S.M. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Architecture.en_US
dc.date.accessioned2018-05-17T18:54:48Z
dc.date.available2018-05-17T18:54:48Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/115439
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Architecture, 2017.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 136-141).en_US
dc.description.abstractSignificant shifts in technology and finance are altering the practice and position of urban design and development. These shifts - the torrent of micro-spatialized data, the amplification of designer instrumentality through computation, and the financialization of built capital into abstract securities - are forming a new relational infrastructure propelling the production of the built environment. Currently, coupling these shifts together remains the specialty of well-capitalized and sophisticated institutions, but the march of technological progress forecasts the widespread democratization of urban development skills and knowledge. This thesis explores the potential outcomes from mass accessibility to urban data, design computation, and digitized financing. I present two patent propositions outlining design methods that culminate in a project deploying network effects through collectively-financed, mass-distributed developments. The project is situated in three neighborhoods of New York City, on three-dozen sites for one-thousand inhabitants, and the methodology consists of three design computation processes. The first is a method for the automated re-massing of urban typologies using procedural scripting and a geometry constraint engine, in order to achieve open-space and density targets. The second is the automated valuation of a real estate development project using projected cash flows and construction cost estimations. Lastly, an optimization method matches suites of sites, project-massings, and financing arrangements; demonstrating the ability for the inhabitants' spatial needs to be met within financial constraints. Assuming that these technologies will be in widespread use evokes a vision for clusters of households to collectively originate, fund, and construct networks of mutually co-dependent developments. With the ability to operationalize a co-ownership model of distributed live-work spaces, self-organizing groups will have a dramatically expanded capability to influence the design and use of urban fabric - in practice, a Lefebvrian 'right to the city'.en_US
dc.description.statementofresponsibilityby Daniel Fink.en_US
dc.format.extent141 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectArchitecture.en_US
dc.titleLinking design to finance : enabling a co-operative developer platform through automated design and valuationen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Architecture
dc.identifier.oclc1035374654en_US


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