Extending Spatial Interaction Models with Agents for Understanding Relationships in a Dynamic Retail Market
Extending Spatial Interaction Models with Agents for Understanding Relationships in a Dynamic Retail Market
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DOI：
10.1155/2011/403969
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发表时间：
2011-03
期刊：
影响因子：
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通讯作者：
M. Birkin;A. Heppenstall
中科院分区：
文献类型：
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作者：
M. Birkin;A. Heppenstall
多年来，有效的基于模型的城市空间结构的动态和演变的表示已被证明是难以捉摸的。虽然通过部署空间相互作用模型取得了一些进展，但这些方法受到难以表示行为机制和过程的限制。在本文中，它表明，基于空间相互作用的原则的进化模型是兼容的更新颖的方法，基于代理的建模。代理商的加入为行为机制的表示提供了一种更加灵活的手段。本文说明了三个更复杂的情况下，可以通过融合空间交互和代理建模的角度来处理的方式。这些情况包括不连续的演变（其中结构调整发生在离散的步骤，而不是作为一个连续的平滑过程）;非平衡动态（其中基本的系统参数继续随着时间的推移而演变）;纳入新的决策变量（我们说明通过增加地租到模型）。本文的结论是，空间相互作用和基于代理的建模方法的组合提供了令人鼓舞的前景，社会模拟的真实的城市系统。
For many years, effective model-based representations of the dynamics and evolution of urban spatial structure have proved elusive. While some progress has been made through the deployment of spatial interaction models, these approaches have been limited by the difficulty of representing behavioural mechanisms and processes. In this paper, it is demonstrated that evolutionary models grounded in the principles of spatial interaction are compatible with the more novel approaches of agent-based modelling. The incorporation of agents provides a much more flexible means for the representation of behavioural mechanisms. The paper illustrates the way in which three more complicated situations can be handled through the fusion of spatial interaction and agent modelling perspectives. These situations comprise discontinuous evolution (in which structural adjustment takes place in discrete steps, and not as a continuously smooth process); nonequilibrium dynamics (in which the underlying system parameters continue to evolve through time); the incorporation of new decision variables (which we illustrate through the addition of land rents into the model). The conclusion of the paper is that the combination of spatial interaction and agent-based modelling methods provides encouraging prospects for the social simulation of real urban systems.