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

Lihu Pan, H. Huang, Gaohuan Liu
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Abstract

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.
使用邻域扩散算法生成的交通网络空间格局
无论是在现实社会中,还是在虚拟世界中,交通网络的空间格局都对人们或代理人的出行、工作和生活方式产生重要影响。为了深入理解这种影响,本研究在具有地理系统特征的人工社会平台上,采用邻域扩散算法模拟交通网络的发展过程。最后得到的交通网络空间格局与以前使用DLA算法得到的结果有很大不同。重要的是,研究表明,邻域扩散算法产生的交通网络显示出与von th nen环描述的理想农业用地类型非常相似的空间格局。因此,邻里扩散算法更适合于理解农村土地利用变化的形成过程,而DLA算法更适合于解释城市发展过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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