Abstract

Micro-Level Land-Use Simulation for Estimating Demands on Urban Infrastructure
Track: Urban and Regional Planning
Authors: Do Kim, Simon Choi, Hsi-Hwa Hu

Future land use conditions influence on a variety of city's infrastructure demands such as transportation, energy, and water. Therefore, it is important to accurately project future land use patterns for estimating future demands on the infrastructure.
This presentation will introduce an innovative land use scenario simulation approach that accurately defines a range of possible future land use conditions. The presentation will focus on a systemic approach that makes it possible to develop future land use scenarios by developing prototypical development types and allocating them to parcels. Using ArcGIS, the approach is capable to compute the extents of the allocated development and to estimate future traffic, energy, and water demands caused by the development. This research will support local governments' land use decision making by comparing the impacts of future land use alternatives on urban infrastructure demands.