Affiliation:
1. School of Computer Science and Technology, Taiyuan University of Science and Technology, China
2. Institute of Geographic Science and Natural Resource Research, Chinese Academy of Science, China
Abstract
Urban livability is an important factor in decisions regarding modern urban construction. Based on multi-agent modeling theory, a model of the changes in urban safety livability is proposed to analyze the present situation and the trends in urban safety livability in complex urban systems. Considering safety as an example, five environmental indicators, namely public security, fire protection, traffic, emergency response, and residence, are selected. The interactive dynamic feedback mechanisms among resident decision-making behaviors and urban safety livability in the context of these five indicators and relevant policies are provided. A simulation of the changes in urban safety livability is implemented based on resident behaviors. The results show that the multi-agent modeling method is effective for analyzing urban safety livability and can provide decision support for urban development planning.
Funder
Special Fund for the Development of Strategic Emerging Industries in Shenzhen
Shanxi Province-Chinese Academy of Sciences Science and Technology Cooperation Major Project
Subject
Computer Graphics and Computer-Aided Design,Modeling and Simulation,Software
Cited by
9 articles.
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