An Artificial Housing Market Based upon GIS

Abstract

In this manuscript a GIS based computational model of housing market is built using Guangzhou's GIS data. The present model models the houses being searched and matched as a special product with spatial attributes that are analyzed using GIS software. Based upon this model, the dynamic and distribution of housing prices are analyzed. Though the present model is a simplified artificial housing market, we have achieved a more deep understanding about the house prices determination mechanism and its relationship with housing spatial attributes. Further, the present research provides a platform for the studying of housing price dynamic and can be extended to a more realistic housing market model.