AgentCity-An agent-based modeling approach to city planning and population dynamics

Abstract

Cities spend time, revenue and resources in an effort to optimize the geographic and physical layout of property zones and services for the population. As physical construction of these various city models is prohibitive, we can create computational models for testing and experimentation. These computational models include human elements and simulate natural complex social system. These computational-models also provide opportunities to study emergent behaviors similar to the real world. These computational emergent behaviors can give us insight into the effectiveness of our city model. This paper will focus on creating a computational model of a virtual city with zoning and a heterogeneous population using NetLogo modelling environment. Results of our implementation are described and future opportunities are identified.