In order to explore the relationship between social and economic development of cities and the category of its air-rail hub, taking 332 city nodes in China as research objects, an index system for the categories of cities′ air-rail hub was established. K-means clustering and FCM(Fuzzy C-Means) clustering weighted by entropy method were respectively adopted to conduct hub division of sample points, and 5 typical categories of air-rail hub were obtained. From the perspective of regions and cities, the classification of K-means clustering is strict, while the classification of FCM clustering is more able to identify potential hubs. The result of the two classifications shows that the level and density of the urban air-rail integrated hub in the southeast coastal areas are higher than that in the central and western regions. Although a single city node is subject to its social and economic development and geographical environment, generally its hub category is accurate. The two classification methods are reasonable from the view of reality and perspicacity respectively.
严 琛，朱金福，马睿馨，彭安娜
. Classification Methods of Domestic Air-Rail Integrated Hub Based on Entropy Weight Clustering[J]. Transport Research, 2021
, 7(3)
: 82
-89
.
DOI: 10.16503/j.cnki.2095-9931.2021.03.010
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