AGENT-BASED MODELING AND SIMULATION ON RESIDENTIAL POPULATION MOVEMENT PATTERNS: THE CASE OF SEJONG CITY

Abstract

An urban simulation is a useful tool for urban administration and policy experiments. Our research goal is composing an agent-based simulation that models the behavioral and movement patterns of the urban population with a real-world city, Sejong in South Korea. Particularly, we modeled the urban dynamics of the city with the size of the real population and with the real-world GIS data. We followed the statistical survey of the behavioral pattern of the population in accordance with a time-use survey data. Lastly, we constructed the public transportation based on bus lines and schedules. Our result shows the initial qualitative validation result of the urban population behavior, specifically on the utilization of the public transportation.