Detecting clusters over intercity transportation networks using K-shortest paths and hierarchical clustering: a case study of mainland China
Detecting clusters over intercity transportation networks using K-shortest paths and hierarchical clustering: a case study of mainland China
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使用 K 最短路径和层次聚类检测城际交通网络上的集群：以中国大陆为例
DOI：
10.1080/13658816.2019.1566551
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发表时间：
2019
影响因子：
5.7
通讯作者：
Yao Yao
中科院分区：
文献类型：
--
作者：
Hanqiu Yue;Qingfeng Guan;Yongting Pan;Lirong Chen;Jianjun Lv;Yao Yao
城际交通基础设施和服务决定着城市群内城市间空间互动的深度和广度，对城市群的空间结构有着深刻的影响。评估公共城际地面交通基础设施和服务是否（即客运列车和长途汽车）能够支持城市群的融合发展，提出了一种“交通集群”检测方法（TCD），该方法具有三个独特之处：（1）采用K-最短路径量化城市间的邻近度，更符合人们的出行行为;（2）通过层次聚类得到树状图，揭示了交通网络的结构层次;（3）地理模块性和层次聚类的结合保证了交通网络的高强度划分。提出的TCD方法分别应用于中国大陆的旅客列车网络，长途汽车网络，以及两者的组合网络。通过将由此产生的交通集群与中国政府划定的城市群进行比较，确定了与城市群内其他城市交通联系薄弱的城市，这些发现有助于制定交通规划，以更好地支持城市群的一体化发展。
ABSTRACT Intercity transportation infrastructures and services determine the depth and breadth of the spatial interactions among cities within an urban agglomeration, and have profound impacts on the spatial structure of the urban agglomeration. To evaluate whether the public intercity ground transportation infrastructures and services (i.e. passenger trains and long-distance buses) can support the integration and development of urban agglomerations, we propose a method for ‘transportation cluster’ detection (TCD), which has three unique features: (1) the K-shortest paths are used to quantify the proximity between cities, which is more in line with people’s travel behaviors; (2) a dendrogram is obtained through hierarchical clustering to reveal the structural hierarchies of transportation clusters; and (3) the integration of geo-modularity and hierarchical clustering assures high strength of division of transportation networks. The proposed TCD method was applied to the network of passenger trains, the network of long-distance buses, and the combined network of both in mainland China, respectively. By comparing the resultant transportation clusters with the urban agglomerations delineated by the Chinese government, cities that have weak transportation connections with other cities within an urban agglomeration were identified, and such findings could help devise transportation planning to better support the integrated development of urban agglomerations.