Unveiling the evolution of urban rail transit network: considering ridership attributes

Yunpeng Zhao,Zhenjun Zhu, Yong Zhang, Yimian Yang, Yuliang Guo,Wei Zhou

TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH(2024)

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摘要
Previous research on urban rail transit (URT) evolution mainly focused on network topology, neglecting ridership attributes. This study extracts ridership and network topology indicators from Chinese URT data. Employing a self-organizing mapping neural network model, it divides China's URT development into four stages. The initial stage and the development stage form the framework of URT network. The network diameter reaches the maximum in the networked operation stage. In the mature stage, URT network densification occurs alongside a significant increase in resident ridership. It is also found that each network indicator has a significant nonlinear relationship with ridership attributes. These findings are of guiding significance for urban planners to accurately understanding URT's future development and rational network planning and construction.
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关键词
Urban rail transit,network evolution,ridership attributes,complex network theory,network topology index,self-organizing mapping neural networks
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