Identifying hub stations and important lines of bus networks: A case study in Xiamen, China

Hui Zhang, Chengxiang Zhuge and Xiaohua Yu

Physica A: Statistical Mechanics and its Applications, 2018, vol. 502, issue C, 394-402

Abstract: Hub stations and important lines play key roles in transfers between stations. In this paper, a node failure model is proposed to identify hub stations. In the model, we introduce two new indicators called neighborhood degree ratio and transfer index to evaluate the importance of stations, which consider neighborhood stations’ degree of station and the initial transfer times between stations. Moreover, line accessibility is developed to measure the importance of lines in the bus network. Xiamen bus network in 2016 is utilized to test the model. The results show that the two introduced indicators are more effective to identify hub stations compared with traditional complex network indicators such as degree, clustering coefficient and betweenness.

Keywords: Hub stations; Bus networks; Transfer index; Node failing process (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:502:y:2018:i:c:p:394-402

DOI: 10.1016/j.physa.2018.02.182

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