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Conference Paper Agent-Based Modeling and Simulation on Residential Population Movement Patterns: The Case of Sejong City
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Authors
Tae-Sub Yun, Il-Chul Moon, Young-Chul Kim, Ki-Sung Jin
Issue Date
2020-12
Citation
Winter Simulation Conference (WSC) 2020, pp.620-631
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/WSC48552.2020.9383874
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.
KSP Keywords
Agent-Based Modeling and Simulation, GIS data, Movement patterns, Population movement, Public Transportation, Real-world, South Korea, Urban Simulation, Urban dynamics, World city, agent-based simulation