城市群公路客运网络空间结构特征提取方法
发布时间：2018-11-16 15:43
【摘要】：公路客运网络的空间结构特征能够为区域公路客运规划提供基础依据。基于复杂网络理论,引入平均运距这一重要的运输特征量,建立了城市群公路客运网络空间结构提取方法。通过度与度分布、簇系数、平均路径长度、点强度、相关性分析等指标的测度,高效提取了滇中城市群公路客运网络的空间结构特征。结果表明:滇中城市群公路客运网络具有较大的平均度、较高的簇系数和较小的平均路径长度,呈现高集聚-高通达-高效率的网络特征,整体结构具有小世界性;依据度的统计规律、累计分布服从指函数分布及点强度服从幂函数分布等数理关系的变化,公路客运网络节点的客运规模空间分布差异性显著,呈现以昆明市辖区、安宁市为"双中心"的空间格局;同时,客运规模较大的节点与经济发展中心地位基本吻合,但网络层级结构不明显;从点强度和度相关性的分析,发现客流空间分布的差异是两节点产生客运联系的直接原因,进一步结合旅客出行行为分析发现,当平均运距点强度越大时,旅客出行更倾向于在点权较大的节点汇集,表明平均运距的地域分布差异推动着客运规模较大的节点与客运规模较小的节点相互联系。
[Abstract]:The spatial structure of highway passenger transport network can provide the basis for regional highway passenger transport planning. Based on the theory of complex network, the method of extracting the spatial structure of urban agglomeration highway passenger transport network is established by introducing the average transportation distance, which is an important transportation characteristic quantity. Through the measurement of degree and degree distribution, cluster coefficient, average path length, point intensity and correlation analysis, the spatial structure characteristics of highway passenger transport network in central Yunnan urban agglomeration are extracted efficiently. The results show that the highway passenger transport network of central Yunnan urban agglomeration has higher average degree, higher cluster coefficient and smaller average path length, showing the characteristics of high agglomeration, high accessibility and high efficiency. According to the statistical law of degree, the distribution of accumulative distribution is from exponential function distribution and point strength clothing from power function distribution. The spatial distribution of passenger transport scale of highway passenger transport network node is different significantly, which is presented in Kunming municipal district. The spatial pattern of "double center" in Anning city; At the same time, the nodes with larger scale of passenger transport basically coincide with the central position of economic development, but the hierarchical structure of the network is not obvious. From the point intensity and degree correlation analysis, it is found that the difference of passenger flow spatial distribution is the direct cause of passenger transport connection between the two nodes. Further, combined with passenger travel behavior analysis, it is found that when the average distance point intensity is greater, Passenger travel tends to converge in the node with higher weight, which indicates that the regional distribution of the average distance promotes the connection between the larger node and the smaller node.
【作者单位】： 昆明理工大学交通工程学院;云南综合交通发展与区域物流管理智库;
【基金】：国家自然科学基金项目(71563023;41501174) 云南省应用基础研究重点项目(2015FA019) 云南省省院省校教育合作人文社科研究项目(SYSX201611)
【分类号】：U491
，
本文编号：2335918
[Abstract]:The spatial structure of highway passenger transport network can provide the basis for regional highway passenger transport planning. Based on the theory of complex network, the method of extracting the spatial structure of urban agglomeration highway passenger transport network is established by introducing the average transportation distance, which is an important transportation characteristic quantity. Through the measurement of degree and degree distribution, cluster coefficient, average path length, point intensity and correlation analysis, the spatial structure characteristics of highway passenger transport network in central Yunnan urban agglomeration are extracted efficiently. The results show that the highway passenger transport network of central Yunnan urban agglomeration has higher average degree, higher cluster coefficient and smaller average path length, showing the characteristics of high agglomeration, high accessibility and high efficiency. According to the statistical law of degree, the distribution of accumulative distribution is from exponential function distribution and point strength clothing from power function distribution. The spatial distribution of passenger transport scale of highway passenger transport network node is different significantly, which is presented in Kunming municipal district. The spatial pattern of "double center" in Anning city; At the same time, the nodes with larger scale of passenger transport basically coincide with the central position of economic development, but the hierarchical structure of the network is not obvious. From the point intensity and degree correlation analysis, it is found that the difference of passenger flow spatial distribution is the direct cause of passenger transport connection between the two nodes. Further, combined with passenger travel behavior analysis, it is found that when the average distance point intensity is greater, Passenger travel tends to converge in the node with higher weight, which indicates that the regional distribution of the average distance promotes the connection between the larger node and the smaller node.
【作者单位】： 昆明理工大学交通工程学院;云南综合交通发展与区域物流管理智库;
【基金】：国家自然科学基金项目(71563023;41501174) 云南省应用基础研究重点项目(2015FA019) 云南省省院省校教育合作人文社科研究项目(SYSX201611)
【分类号】：U491
，
本文编号：2335918
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