摘要
为研究多式联运网络演化机理,分析多式联运网络的特征,基于BA无标度网络模型,引入吸引力模型,计算节点质量,提出考虑节点吸引力因素的改进多式联运网络演化模型。选取山东省23个物流节点城市为多式联运网络的节点,采用软件MATLAB进行模型仿真,对比分析仿真结果与实际网络的统计特性,验证改进的多式联运网络演化模型的适用性。结果表明:改进的多式联运网络演化模型的基本统计特性与实际网络接近,能较准确地再现多式联运网络的实际特性及演化规律;度分布为斜率为负的直线,服从幂律分布,属于BA无标度网络模型。未来多式联运网络应发挥物流枢纽城市及龙头企业的聚集带动作用,增大网络密度,增强网络韧性,形成内外联通、安全高效的物流网络。
In order to study the evolution mechanism of multimodal transport network,analyze the characteristics of multimodal transport network,based on the BA scale-free network model,introducing the attractiveness model and calculating the node quality,a multimodal transport network evolution model considering the attractiveness factor of nodes is proposed.Taking 23 logistics node cities in Shandong Province as the nodes of the multimodal transport network and using MATLAB software for model simulation,the simulation results are compared and analyzed with the statistical characteristics of the actual network to verify the applicability of the improved multimodal transport network evolution model.The results show that the basic statistical characteristics of the improved multimodal transport network evolution model are close to those of the actual network,and it can accurately reproduce the actual characteristics and evolution laws of the multimodal transport network.The degree distribution of the simulation model is a negative slope straight line,following a power-law distribution,which belongs to the BA scale-free network model.In the future,the multimodal transport network should play a role in driving logistics hub cities and leading enterprises,increase network density,enhance network resilience,and form a safe and efficient logistics network that is internally and externally connected.
作者
张博扬
陈建岭
姜珊
ZHANG Boyang;CHEN Jianling;JIANG Shan(School of Transportation and Logistics Engineering,Shandong Jiaotong University,Jinan 250357,China)
出处
《山东交通学院学报》
CAS
2024年第1期64-70,共7页
Journal of Shandong Jiaotong University
基金
山东省重点研发计划(软科学)项目(2021RKY07128)。
关键词
多式联运
BA无标度网络
节点吸引力
仿真
multimodal transport
BA scale-free network
node attractiveness
simulation