RETRACTED ARTICLE: Spatial interaction and network structure evolvement of cities in terms of China’s rail passenger flows

Abstract

Cities separated in space are connected together by spatial interaction (SI) between them. But the studies focusing on the SI are relatively few in China mainly because of the scarcity of data. This paper deals with the SI in terms of rail passenger flows, which is an important aspect of the network structure of urban agglomeration. By using a data set consisting of rail O-D (origin-destination) passenger flows among nearly 200 cities, inter-city rail distance O-D matrixes, and some other indices, it is found that the attenuating tendency of rail passenger is obvious. And by the analysis on dominant flows and spatial structure of flows, we find that passenger flows have a trend of polarizing to hubs while the linkages between hubs upgrade. However, the gravity model reveals an overall picture of convergence process over time which is not in our expectation of integration process in the framework of globalization and economic integration. Some driven factors for the re-organization process of the structure of urban agglomeration, such as technique advance, globalization, etc. are discussed further based on the results we obtained.

Analyzing urban traffic demand distribution and the correlation between traffic flow and the built environment based on detector data and POIs

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“…The importance of each type of flow in each city network in turn changes over time. A number of scholars have carried out research into city networks based on various kinds of flow (Taylor, 2001;Taylor et al, 2002;Derudder and Witlox, 2005;Choi et al, 2006;Dai and Jin, 2008;Mo et al, 2009;Jacobs et al, 2010;Neal, 2010;Vinciguerra et al, 2010;Leng et al, 2011;Wang et al, 2011). Whilst all of these studies have greatly enriched the city networks research and promoted the development of an academic city networks theory, little attention has been paid to knowledge flows in the context of the knowledge economy (Lu and Huang, 2012).…”

Optimization of Trip-end Networks and Ride Price for Express Coach Systems in the High-speed Rail Era

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