2013.02.08 14:01
Lee, S.H., Shin, J.S., Lee, G.H. and Moon, I.-C., 2013. Impact of Relocation to City Commerce: Micro-Level Estimation with Agent-Based Model. In 2013 Spring Simulation Multiconference. San Diego, CA, USA, pp. 77–84.
Abstract :
To reduce overpopulation around Seoul, Korea, the government implemented a relocation policy of public officers by moving the government complex. This implies that there will be a negative impact to the suburban area that originally hosted the complex, but we do not know the magnitude of the impact. Therefore, this paper presents a micro-level estimation of the impact with an agent-based model. This model is calibrated using the micro-level population and time-use datasets. Agent behavior is formally specified to illustrate the model transparently so that other modelers can replicate the model. Our virtual experiment indicates that the city commerce will not be affected unless the public officers relocate with their families; if they relocate with the whole family, the impact will be significant. We provide this impact analysis at the building level to support further urban planning and public policy.
@inproceedings{Lee:2013:IPR:2499592.2499603,
author = {Lee, SeHoon and Shin, JoonSoo and Lee, GeunHo and Moon, Il-Chul},
title = {Impact of Population Relocation to City Commerce: Micro-level Estimation with Agent-based Model},
booktitle = {Proceedings of the Agent-Directed Simulation Symposium},
series = {ADSS 13},
year = {2013},
isbn = {978-1-62748-029-1},
location = {San Diego, California},
pages = {11:1--11:8},
articleno = {11},
numpages = {8},
url = {http://dl.acm.org/citation.cfm?id=2499592.2499603},
acmid = {2499603},
publisher = {Society for Computer Simulation International},
address = {San Diego, CA, USA},
keywords = {agent-based simulation, discrete event model, population modeling, urban design, urban simulator},
}
Source Website :
http://dl.acm.org/citation.cfm?id=2499603