Journal of South China University of Technology(Natural Science) >

2023 , Vol. 51 >Issue 8: 40 - 50

DOI: https://doi.org/10.12141/j.issn.1000-565X.220658

Traffic & Transportation Engineering

Stuby on the Activity Patterns and Regularity of Public Transport Passengers

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  • Faculty of Architecture，Civil and Transportation Engineering，Beijing University of Technology，Beijing 100124，China
陈艳艳（1970-），女，教授，博士生导师，主要从事交通运输规划与管理及大数据挖掘研究。

Received date: 2022-10-11

  Online published: 2023-03-16

Supported by

the Beijing Science and Technology Planning Program(K2038001201902)

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Abstract

In order to explore the activity pattern and regularity of public transport passengers, this study constructed multi-day passenger travel activity sequences using three weeks smart card data in Beijing in October 2020. The frequent activity pattern sequences of passengers were mined through the PrefixSpan algorithm, and the similarity measure method of activity patterns was defined based on the longest common subsequence. The day-to-day activity sequence similarity of individual and activity pattern similarities among different passengers were calculated respectively, and passengers were classified according to activity pattern similarities among passengers by using the hierarchical clustering algorithm. The results show that the similarity between workdays and weekends is significantly lower than that within workdays or weekends. In workdays, the activity sequence similarity between Friday and the other days is low. Meanwhile, the activity sequence similarity of the same days in different weeks is high. The result of hierarchical clustering shows that there are four typical activity patterns, including entertainment and shopping orientation, life orientation, work orientation and personal affair orientation. Moreover, the day-to-day activity sequence similarity of passenger with work orientation pattern is higher than that of passenger with other activity patterns. The research results in this paper are helpful to scientifically formulate accurate public transport operation management and service policies.

Key words： public transportation; passenger activity sequence; frequent sequence mining; sequence similarity; activity pattern 责任编辑： 许花桃

Cite this article

CHEN Yanyan, WANG Zifan, SUN Haodong, et al . Stuby on the Activity Patterns and Regularity of Public Transport Passengers[J]. Journal of South China University of Technology(Natural Science), 2023 , 51(8) : 40 -50 . DOI: 10.12141/j.issn.1000-565X.220658

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