出租汽车出行轨迹网络结构复杂性与空间分异特征
发布时间：2018-10-29 10:56
【摘要】：基于出租汽车运行GPS轨迹数据,构建了一类城市出行复杂网络;使用有向加权复杂网络测度分析方法,研究了出租汽车出行轨迹网络结构复杂性与空间分异特征;以西安市数据为例,进行了网络指标测算。分析结果表明:出租汽车出行轨迹网络的平均最短路径长度为2.070(边数),聚类系数为0.653,网络密度为0.554,说明了该网络是一类典型复杂网络,具有典型的小世界和集团化特征,且实际平均出行距离符合对数正态分布;网络的节点强度均值为411,最大K-核值为59,网络中强度小于600的节点占77.97%,强度小于300的节点占50.24%,呈现典型的大少小多的空间分布特点;该网络具有显著的空间分异特征,重要小区的出行辐射范围具有全局性特征,总体出行强度空间布局与城市公共交通干线走向一致,呈十字型分布;在整个网络范围内,强中心性交通小区呈现集聚性分布,重要交通枢纽(车站)与商圈等区域节点强度大于2 200;出租汽车上下客区域呈现空间非均衡特征,即在城市重要功能聚集区的上客水平高于下客水平。研究结果反映了出租汽车出行轨迹网络的拓扑结构与空间分异特征间的相互关系,揭示了城市居民活动的空间特征、活动规律及其与城市功能空间布局之间的相互影响作用。
[Abstract]:Based on the GPS trajectory data of taxi operation, a class of urban travel complex network is constructed, and the complexity of taxi trip trajectory network structure and spatial differentiation are studied by using the method of directed weighted complex network measurement. Taking Xi'an data as an example, the network index is calculated. The results show that the average shortest path length is 2.070 (edge number), the clustering coefficient is 0.653, and the network density is 0.554, which shows that the network is a typical complex network. It has typical small-world and collectivization characteristics, and the actual average travel distance accords with logarithmic normal distribution. The average node strength of the network is 411, the maximum K- kernel value is 59. In the network, the number of nodes with strength less than 600 is 77.97, and that of less than 300 is 50.24, which shows the typical spatial distribution characteristics of large, small and small. The network has significant spatial differentiation characteristics, the travel radiation range of important residential areas has global characteristics, and the overall travel intensity spatial distribution is consistent with the urban public transport trunk line, showing a cross-type distribution. In the whole network, the strong center traffic district presents the agglomeration distribution, the regional node intensity of important transportation hub (station) and commercial circle is more than 2200; There is a spatial disequilibrium in the taxi area, that is, the boarding level in the urban important function gathering area is higher than the lower passenger level. The results reflect the relationship between the topological structure of the taxi travel path network and the spatial differentiation features, and reveal the spatial characteristics of urban residents' activities and their interaction with the urban functional spatial layout.
【作者单位】： 长安大学经济与管理学院;中国科学院地理科学与资源研究所;西安建筑科技大学土木工程学院;
【基金】：国家自然科学基金项目(41301130) 教育部人文社会科学研究基金项目(12YJCZH051) 中央高校基本科研业务费专项资金项目(310823161001)
【分类号】：U491
本文编号：2297495
[Abstract]:Based on the GPS trajectory data of taxi operation, a class of urban travel complex network is constructed, and the complexity of taxi trip trajectory network structure and spatial differentiation are studied by using the method of directed weighted complex network measurement. Taking Xi'an data as an example, the network index is calculated. The results show that the average shortest path length is 2.070 (edge number), the clustering coefficient is 0.653, and the network density is 0.554, which shows that the network is a typical complex network. It has typical small-world and collectivization characteristics, and the actual average travel distance accords with logarithmic normal distribution. The average node strength of the network is 411, the maximum K- kernel value is 59. In the network, the number of nodes with strength less than 600 is 77.97, and that of less than 300 is 50.24, which shows the typical spatial distribution characteristics of large, small and small. The network has significant spatial differentiation characteristics, the travel radiation range of important residential areas has global characteristics, and the overall travel intensity spatial distribution is consistent with the urban public transport trunk line, showing a cross-type distribution. In the whole network, the strong center traffic district presents the agglomeration distribution, the regional node intensity of important transportation hub (station) and commercial circle is more than 2200; There is a spatial disequilibrium in the taxi area, that is, the boarding level in the urban important function gathering area is higher than the lower passenger level. The results reflect the relationship between the topological structure of the taxi travel path network and the spatial differentiation features, and reveal the spatial characteristics of urban residents' activities and their interaction with the urban functional spatial layout.
【作者单位】： 长安大学经济与管理学院;中国科学院地理科学与资源研究所;西安建筑科技大学土木工程学院;
【基金】：国家自然科学基金项目(41301130) 教育部人文社会科学研究基金项目(12YJCZH051) 中央高校基本科研业务费专项资金项目(310823161001)
【分类号】：U491
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，本文编号：2297495
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