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Combining #x201C;top-down#x201D; and #x201C;bottom-up#x201D; decision making behaviors to simulate urban sprawl using multi-agent system

机译:结合“自上而下” 和“自下而上” 决策制定使用多功能机制模拟城市蔓延的行为

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In view of multi-agent system's ability to simulate complex spatial system, from the view of combining “top-down” and “bottom-up” decision-making behaviors, a spatiotemporal dynamical urban sprawl simulation model using multi-agent system was developed. In the model, “top-down” macro land use planning behaviors implemented by macro agents and “bottom-up” micro land use spatial appeal behaviors autonomously originated by micro agents interacted by two-dimensional spatial grid, and jointly promoted urbanization process of study area through joint decision-making. The simulation results show that combining “top-down” and “bottom-up” decision-making behaviors to simulate spatiotemporal dynamical urban sprawl model using multi-agent system can give full play to the potential of multi-agent system to understand the driving mechanism of urbanization and provide decision-making support for urban management.
机译:鉴于多代理系统模拟复杂空间系统的能力,从组合&#x201c的视图;自上而下” 和“自下而上” 制定了决策行为,开发了一种使用多助理系统的时空动态城市蔓延模拟模型。 在模型中,“自上而下” 宏观土地利用宏观代理和&#x201c实现的规划行为;自下而上” 微土地使用空间上诉行为,通过二维空间网格的微观代理,通过联合决策共同促进研究区域的城市化进程。 仿真结果表明,结合“自上而下” 和“自下而上” 使用多助理系统模拟时空动态城市蔓延模型的决策行为可以充分发挥多助手系统的潜力,了解城市化的驱动机制,为城市管理提供决策支持。

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