[1]WEI Hui,BAI Yu.Simulation of urban population growth with a multiagent system and GIS platform[J].CAAI Transactions on Intelligent Systems,2009,4(1):44-58.
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Simulation of urban population growth with a multiagent system and GIS platform

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 4 Number of periods: 2009 1 Page number: 44-58 Column: 学术论文—智能系统 Public date: 2009-02-25
Title:
Simulation of urban population growth with a multiagent system and GIS platform
Author(s):
WEI Hui1; 2; BAI Yu1; 2
1.Laboratory of Algorithm for Cognitive Model of Department of Computer Science, Fudan University, Shanghai 200433, China； 2.Key Laboratory of Wave Scattering and Remote Sensing Information (MOE), Fudan University, Shanghai 200433, China
Keywords:
system simulation; multi-agent system; urban modeling
CLC:
TP18
DOI:
-
Abstract:
The Chinese economy grew rapidly for more than 20 years, promoting rapid urbanization. New cities emerged and great changes took place in old cities. Population changes complicated city planning, infrastructure construction, housing, and environmental preservation. A model simulating this population transformation was built merging methods from Geographical Information Systems, Multiagent Systems and Stochastic Processes. First an efficiency function was proposed to represent the effectiveness of a resource within the GIS. Second, a multiagent system was designed and implemented, with agents representing ground segments and profits acquired after that. Third, static attributes and dynamic behaviors of agents were discussed. To model the uncertainty of urban development better, a behavioral mode was designed based on a stochastic process, consistent with macrolevel characteristics of the agent. The combined system and its implementation in a computer were then discussed. Finally experiments, using data from Pudong District of Shanghai, were run and analyzed. This urban evolution model can be adapted to more types of research and owes its good performance to modularity and scalability. 
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