Analysis of time-varying characteristics of bus weighted complex network in Qingdao based on boarding passenger volume

Xiaolei Zhang, Yibin Ren, Baoxiang Huang and Yong Han

Physica A: Statistical Mechanics and its Applications, 2018, vol. 506, issue C, 376-394

Abstract: Mastering the demand characteristics of a city’s bus travel and understanding the demand structure from time and space are of great significance for a city’s public traffic management. From the point of weighted complex network, this paper constructs the adjacency-stop bus complex network of Qingdao city in China using Space L method, and analyzes topological characteristics of the network. For the first time, by means of node weighting, the space–time characteristics of Qingdao bus travel demand are analyzed from the point of view of node strength. Through the analysis of the distribution characteristics of node strength at different periods of working and non-working days, it is found that node strength overall obeys SPL (Shift Power Law) tending to exponential distribution, which shows that the distribution of passenger flow in Qingdao bus travel is uneven, but not extremely uneven like power-law distribution. Comparing the changes of boarding volume at different time in one day both of working day and non-working day, the key bus stops and pivots of public transportation is extracted; and combined with the spatial distribution characteristics, it is found that there is a high correlation between bus travel demand and spatial attribute in Qingdao City, and a low correlation between bus travel demand and time attribute.

Keywords: Bus; Complex network; Boarding passenger volume; Hierarchical agglomerative clustering; Time-varying (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:506:y:2018:i:c:p:376-394

DOI: 10.1016/j.physa.2018.04.071

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