Abstract：In order to study the evolutionary mechanisms of spatial structure of urban logistics network, a weighted local world evolution model was proposed based on the agglomeration degree, considering the macro factors and the operating characteristics. By simulation analysis, the network features were studied, and the impact on the evolution which agglomeration degree parameters changed over time was also analyzed. The results reveal that the network’s degree distribution doesn’t obey the power law distribution, and it has higher clustering coefficient and lesser average path length, which shows a few hub nodes predominate in the urban logistics network and the network has strong anti-risk ability and quick response ability. The results also indicate that when the weight factors α,β,γ are changed over time, the evolution mechanism is more realistic, because it could overcome excessive influence of the node degree and reflect impact of all the related macro factors reasonably.
付江月, 张锦, 熊杰, 陈以衡. 城市物流网络空间结构加权局域世界演化模型研究[J]. 复杂系统与复杂性科学, 2015, 12(3): 38-44.
FU Jiangyue, ZHANG Jin, XIONG Jie, CHEN Yiheng. On the Weighted Local Evolution Model of Urban Logistics Network’s Spatial Structure[J]. Complex Systems and Complexity Science, 2015, 12(3): 38-44.
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