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The spatial patterns of transport networks generated with a neighborhood-diffusion algorithm

机译:用邻域扩散算法产生的传输网络的空间模式

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Not only in real societies, but also in virtual worlds, the spatial pattern of transport networks imposes important influences on the travel, work and living style of people or agents. To gain a deep understanding of such influences, this study simulates the developmental process of a transport network by deploying an algorithm of neighborhood-diffusion on an artificial society platform with characteristics of geographic systems. The finally developed spatial pattern of transport network differs significantly from that yielded previously from using a DLA algorithm. Importantly, it is demonstrated that the transportation network produced with the neighborhood-diffusion algorithm displays a spatial pattern very similar to the idealized agricultural land use style described by von Thünen rings. Hence, the neighborhood-diffusion algorithm is more suitable for understanding the formative process of rural land use change, in contrast to the suitability of the DLA algorithm for explaining urban developmental process.
机译:不仅在真正的社会中,而且在虚拟世界中,运输网络的空间模式对人们或代理人的旅行,工作和生活方式施加了重要影响。为了深入了解这种影响,本研究通过在具有地理系统特征的人工社会平台上部署邻域扩散算法来模拟传输网络的发展过程。最终开发的传输网络的空间模式显着不同于先前通过DLA算法产生的。重要的是,证明使用邻域扩散算法产生的运输网络显示出与VonThünen环中描述的理想化的农业用地使用风格非常相似的空间模式。因此,邻域扩散算法更适合于理解农村土地利用变化的形成过程,与DLA算法解释城市发展过程的适用性相比。

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