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Spatial-Temporal Daily Frequent Trip Pattern of Public Transport Passengers Using Smart Card Data

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Abstract

Rebuilding the operation scheme of public transportation is a recent topic of discussion in Japan because the number of passengers is decreasing especially in rural areas. This research empirically analyzes variations in trip patterns to understand how passengers’ daily travel patterns vary temporally and spatially among one month using smart card data. The analysis reveals that the daily number of trips for the entire network does not vary significantly. However, it also reveals that daily frequent trip patters of individual passengers vary, i.e., most passengers are not traveling by a single trip pattern. This could be fundamental knowledge to discuss more detail or individual operation schemes.

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Acknowledgments

The authors would like to thank to Mr. Uchiyama of DESUCA Co. Ltd., who provided us with very valuable and interesting data for this research, and also to thank Mr. Arai for his valuable assistance in the data arrangement.

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Authors and Affiliations

  1. Nihon University, 7-24-1 Narashinodai, Funabashi-City, Chiba, Japan

    Hiroaki Nishiuchi & Tomoyuki Todoroki

  2. University of Leeds, 36-40 University Road, Leeds, UK

    James King

Authors
  1. Hiroaki Nishiuchi
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  2. James King
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  3. Tomoyuki Todoroki
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Correspondence to Hiroaki Nishiuchi.

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Nishiuchi, H., King, J. & Todoroki, T. Spatial-Temporal Daily Frequent Trip Pattern of Public Transport Passengers Using Smart Card Data. Int. J. ITS Res. 11, 1–10 (2013). https://doi.org/10.1007/s13177-012-0051-7

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  • DOI: https://doi.org/10.1007/s13177-012-0051-7

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