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Extending Spatial Interaction Models with Agents for Understanding Relationships in a Dynamic Retail Market

机译：与代理商扩展空间互动模型以了解动态零售市场中的关系

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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.
机译：多年来，事实证明，基于模型的有效表示法对城市空间结构的动力学和演化难以捉摸。尽管通过部署空间交互模型已经取得了一些进展，但是这些方法受到表示行为机制和过程的困难的限制。在本文中，证明了建立在空间相互作用原理基础上的进化模型与基于代理的更新颖方法兼容。代理的合并为行为机制的表示提供了更加灵活的方法。本文说明了如何通过空间交互作用和智能体建模角度的融合来处理三种更复杂的情况。这些情况包括不连续的演变（结构调整是在不连续的步骤中进行的，而不是连续的平稳过程）;非平衡动力学（其中基础系统参数随着时间不断发展）;新决策变量的合并（我们通过在模型中增加地租来说明）。本文的结论是，空间交互和基于主体的建模方法的结合为实际城市系统的社会模拟提供了令人鼓舞的前景。

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