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机构地区:[1]西南交通大学交通运输与物流学院,成都610031
出 处:《复杂系统与复杂性科学》2015年第3期38-44,共7页Complex Systems and Complexity Science
基 金:国家自然科学基金(11BJL054)
摘 要:为研究城市物流网络空间结构的演化机制,考虑宏观影响因素和网络运行特征,构建了以节点集聚度为优先连接准则的加权局域世界演化模型,通过仿真实验讨论了网络特征参数,并分析了集聚度参数权重随时间变化与否对网络演化的影响。结果表明:度分布未呈现明显的幂律分布形式,具有较大的集聚系数和较小的平均路径长度,说明城市物流网络中少数枢纽型节点占主导地位,网络具有较强的抗风险能力和快速响应能力;集聚度参数权重α,β,γ随时间变化时,能够克服节点度对网络演化的过大影响,合理体现相关宏观因素对网络演化的作用,该种网络演化机制更符合实际。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 de- gree, 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 pa- rameters changed over time was also analyzed. The results reveal that the network's degree dis- tribution 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 net- work and the network has strong anti-risk ability and quick response ability. The results also in- dicate that when the weight factors α,β,γare 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.
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