Doctoral Research

Dissertation Title:
Exploring Geodesign: Using Three-dimensional Parametric Modeling Techniques in Conjunction with Two-dimensional Land Use Models to Better Visualize Future Growth

Increasing evidence suggests that population increase is related to various challenges human character. Ehrlich and Holdren (1971) stated the tight relationship between population growth and environmental issues, including “disproportionate negative impact on the environment” (p.1212), resources allocation challenges, economic status of the region, etc. Responding to this issue, various urban allocation models have been proposed to assist with better decision making. However, there lacked an effort to identify proper allocation sites considering both physical suitable land, and quality of life improvement. Also, existing land-use and population allocation models typically allocate future employment and residential population in two-dimensions (2D). Missing the opportunity to provide three-dimensional (3D) buildings for employment and residential use. While population and employment projections inform planners about the future growth of the city, planners still need to make decisions about where and to what extent the future growth will be allocated. A more comprehensive yet flexible method is needed to provide support for planning decision making in three dimensions, and to provide greater flexibility for 3D visualization.

This research aims to detect potential land-use development opportunities based on a quality of life index and land use suitability analysis. Additionally, the research creates a workflow to automatically visualize and simulate future land-use and population allocations in 3D.