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A Preliminary Study of Mobility Patterns in Urban Subway

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9708))

Abstract

Understanding human mobility patterns is of great importance to traffic forecasting, urban planning, epidemic spread and many other socioeconomic dynamics covering spatiality and human travel. Based on the records of Beijing subway, we presented a preliminary study of human mobility patterns at urban scale, including return ratio and trip distance. Especially, both linear distance and actual route distance are considered. We found that for a single mode of transportation, the displacement distribution not only decays exponentially, but also has a peak, which represents the characteristics of travel radius (CTR). The CTR of actual route distance is significantly greater than that of linear distance, which indicates that quite of the passengers make detours relative to the linear path when traveling by subway.

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Acknowledgments

The authors deeply appreciate support for this paper by the National Natural Science Foundation of China (Grant No. 91546111 and 71573154), the Research on the development strategy of national public safety science and technology (Grant No. 2014-ZD-02) and the Collaborative Innovation Center of Public Safety.

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Correspondence to Shunjiang Ni .

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© 2016 Springer International Publishing Switzerland

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Yong, N., Ni, S., Shen, S. (2016). A Preliminary Study of Mobility Patterns in Urban Subway. In: Xu, K., Reitter, D., Lee, D., Osgood, N. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2016. Lecture Notes in Computer Science(), vol 9708. Springer, Cham. https://doi.org/10.1007/978-3-319-39931-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-39931-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39930-0

  • Online ISBN: 978-3-319-39931-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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