This project seeks to propose an ideal model for housing in a future where it is no longer feasible at a lower density. It identifies several characteristics of good housing, primarily: individual response to site, desirability, and sustainability, then applies them in the design of an apartment building on a specific site. The project also touches on questions of what makes a living space desirable, namely the preservation of the tenant's individuality and the fostering of community, each of which is examined and applied through the architecture. The project stresses that individuality is supported through a tenant's choice of living space and, therefore, that buildings following this model should not be identical copies, but rather unique responses to their own sites following the guiding principles of this project. It addition, as a secondary objective, the project explores the intricacies of mass timber construction and building code. / Master of Architecture / As the population rises and it becomes clearer that we can no longer afford to gobble up land for low density housing, our idea of what housing should be must also grow. It's inescapable that the future of housing involves refocusing on medium density apartments so that we can house more people on less land, but making that happen would involve a paradigm shift in what we consider the ideal housing condition. Convincing people to stay in apartment buildings instead of moving into a single-family house requires buildings that respond to their individual site, provide desirable apartments, respect the environment, and preserve the sense of community that is often found in low density developments. This project seeks to propose a model for the future of housing.
Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/104072 |
Date | 30 June 2021 |
Creators | Prentice, David Neil |
Contributors | Architecture, Galloway, William U., Gartner, Howard Scott, Becker, Edward Gentry |
Publisher | Virginia Tech |
Source Sets | Virginia Tech Theses and Dissertation |
Language | English |
Detected Language | English |
Type | Thesis, Text |
Format | 1 volume (unpaged), ETD, application/pdf, application/pdf |
Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
Relation | OCLC# 28560304 |
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