城市群客运网络节点重要度识别方法

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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.

Key words： traffic engineering node importance gravity model metropolitan area transportation economy passenger transport network space of flow

Received: 14 January 2019

Fund:Supported by the National Natural Science Foundation of China (No.618773216);National Key R&D Program of China (No.2017YFB1200702)

Corresponding Authors: MAO Jian-nan E-mail: jiannan_mao@hotmail.com

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	MAO Jian-nan
	LIU Lan
	KANG Lei-lei

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MAO Jian-nan,LIU Lan,KANG Lei-lei. Identification of the Node Importance of a Passenger Transport Network in Metropolitan Areas[J]. Journal of Highway and Transportation Research and Development, 2019, 13(3): 87-95.

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http://manu27.magtech.com.cn/Jwk_gljtkj_en/EN/ OR http://manu27.magtech.com.cn/Jwk_gljtkj_en/EN/Y2019/V13/I3/87

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