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Exploring the Multi-Layer Structural Properties of the Bus-Subway Transportation Network of Shanghai
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作者 shiyu tang Hong Zhang Caiwei Liu 《Journal of Geographic Information System》 2023年第2期223-243,共21页
Buses and subways are essential to urban public transportation systems and an important engine for activating high-quality urban development. Traditional multi-modal transportation networks focus on the structural fea... Buses and subways are essential to urban public transportation systems and an important engine for activating high-quality urban development. Traditional multi-modal transportation networks focus on the structural feature mining of single-layer networks or each layer, ignoring the structural association of multi-layer networks. In this paper, we examined the multi-layer structural property of the bus-subway network of Shanghai at both global and nodal scales. A dual-layer model of the city’s bus and subway system was built. Single-layer complex network indicators were also extended. The paper also explored the spatial coupling properties of the city’s bus and subway system and identified its primary traffic nodes. It was found that 1) the dual-layer network increased the network’s connectivity to a certain extent and broke through the spatial limitation in terms of physical structure, making the connection between any two locations more direct. 2) The dual-layer network changed the topological characteristics of the transit network, increasing the centrality value and bit order in degree centrality, betweenness centrality, and closeness centrality to different degrees, and making each centrality tend to converge to the city center in spatial distribution. Enhancing the management of critical network nodes would help the integrated public transportation system operate more effectively and provide higher-quality services. 展开更多
关键词 Urban Transportation Structural Characteristics Dual-Layer Network CENTRALITY
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近红外光谱结合区间偏最小二乘法快速分析污泥中蛋白质含量 被引量:5
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作者 李卫华 田士玉 +3 位作者 唐玉朝 黄显怀 刘绍根 杨引浩 《环境工程学报》 CAS CSCD 北大核心 2017年第3期1819-1824,共6页
采用近红外光谱表征了不同来源污泥样品,并应用主成分投影实现了污泥样品的聚类分析。在此基础上,结合凯氏定氮法的蛋白质含量分析结果,采用区间偏最小二乘法(i PLS)选择光谱建模区间为4 382~3 996 cm^(-1),建立了近红外光谱反演污泥中... 采用近红外光谱表征了不同来源污泥样品,并应用主成分投影实现了污泥样品的聚类分析。在此基础上,结合凯氏定氮法的蛋白质含量分析结果,采用区间偏最小二乘法(i PLS)选择光谱建模区间为4 382~3 996 cm^(-1),建立了近红外光谱反演污泥中蛋白质含量的数学模型,模型相关系数为0.973,交叉验证均方差为1.321,预测值与真实值的误差范围为^(-1)0.0%~8.52%,说明近红外光谱可以实现污泥样品的快速定性和定量分析。 展开更多
关键词 凯氏定氮法 近红外光谱 区间偏最小二乘法 污泥 蛋白质含量
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