1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 610031, China;
2. National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu Sichuan 610031, China
Identification of the Node Importance of a Passenger Transport Network in Metropolitan Areas
MAO Jian-nan1, LIU Lan1,2, KANG Lei-lei1
1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 610031, China;
2. National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu Sichuan 610031, China
摘要To identify the node importance of a passenger transport network in metropolitan areas, this study measures the synthetical passenger node importance of cities in three aspects by considering space of flow theory in a social network. First, a framework with eight selected basic features is constructed to identify basic urban attribute indexes by using the traditional node importance method in transport network design. Second, network topology attributes (i.e., aggregation and betweenness degrees) are proposed on the basis of a passenger transport network. Third, an urban linkage model based on the gravity model is developed by considering urban linkage in metropolitan areas. The three aspects are integratively evaluated by using the entire-array-polygon method, and then cluster analysis of the comprehensive node importance of a passenger network is performed using the k-means algorithm. A case study of the Chengdu metropolitan area in Sichuan is conducted, and results verify that the proposed algorithm is reasonable and suitable for identifying the node importance of a passenger transport network in a megalopolis.
Abstract：To identify the node importance of a passenger transport network in metropolitan areas, this study measures the synthetical passenger node importance of cities in three aspects by considering space of flow theory in a social network. First, a framework with eight selected basic features is constructed to identify basic urban attribute indexes by using the traditional node importance method in transport network design. Second, network topology attributes (i.e., aggregation and betweenness degrees) are proposed on the basis of a passenger transport network. Third, an urban linkage model based on the gravity model is developed by considering urban linkage in metropolitan areas. The three aspects are integratively evaluated by using the entire-array-polygon method, and then cluster analysis of the comprehensive node importance of a passenger network is performed using the k-means algorithm. A case study of the Chengdu metropolitan area in Sichuan is conducted, and results verify that the proposed algorithm is reasonable and suitable for identifying the node importance of a passenger transport network in a megalopolis.
基金资助:Supported by the National Natural Science Foundation of China (No.618773216);National Key R&D Program of China (No.2017YFB1200702)
通讯作者:
MAO Jian-nan
E-mail: jiannan_mao@hotmail.com
引用本文:
毛剑楠, 刘澜, 康雷雷. 城市群客运网络节点重要度识别方法[J]. Journal of Highway and Transportation Research and Development, 2019, 13(3): 87-95.
MAO Jian-nan, LIU Lan, KANG Lei-lei. Identification of the Node Importance of a Passenger Transport Network in Metropolitan Areas. Journal of Highway and Transportation Research and Development, 2019, 13(3): 87-95.
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2019, Vol. 13 
