Site Finding in a Complex Urban Landscape
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Date
2021-02-26
Authors
Huang, Jie Jie
Journal Title
Journal ISSN
Volume Title
Publisher
University of Waterloo
Abstract
This thesis demonstrates a working method for architectural analysis that combines manipulation of spatial data with a systematic analysis approach, configured for small-scale urban site selection in Toronto.
The study adapts existing computational design strategies from the disciplines of Geography and Planning, including Geographic Information System(GIS) and the decision-making method of Analytic Hierarchy Process (AHP). A computational tool prototype is created in this thesis to showcase how existing methods can be employed at a neighbourhood scale oriented to local community groups' needs. The study utilizes the use-case of community garden site finding for non-profit organizations in Toronto as a specialized application of this working method.
A design demonstration is included, consisting of two parts of the site selection process: conducting a co-relation study by examining existing community gardens within city areas, and developing a neighbourhood scale suitability model using the Analytic Hierarchy Process (AHP). Additionally, this thesis conducts a set of reflections on the computational process relating to this prototype.
By showcasing how GIS and AHP can be applied to a tangible neighbourhood scale within the architecture domain, the thesis hopes to contribute to the broad discussion of spatial data-driven architectural planning and systems thinking.
Description
Keywords
architecture analysis, architecture, AHP, site selection, GIS, small scale, systems thinking, Toronto
LC Keywords
Architecture, Geographic information systems, Computer-aided engineering, Architecture and technology, Urban renewal, Buildings, structures, etc., Toronto (Ont.)