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Influence of trip distance and population density on intra-city mobility patterns in Tokyo during COVID-19 pandemic

Author

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  • Kazufumi Tsuboi
  • Naoya Fujiwara
  • Ryo Itoh

Abstract

This study investigates the influence of infection cases of COVID-19 and two non-compulsory lockdowns on human mobility within the Tokyo metropolitan area. Using the data of hourly staying population in each 500m$\times$500m cell and their city-level residency, we show that long-distance trips or trips to crowded places decrease significantly when infection cases increase. The same result holds for the two lockdowns, although the second lockdown was less effective. Hence, Japanese non-compulsory lockdowns influence mobility in a similar way to the increase in infection cases. This means that they are accepted as alarm triggers for people who are at risk of contracting COVID-19.

Suggested Citation

  • Kazufumi Tsuboi & Naoya Fujiwara & Ryo Itoh, 2022. "Influence of trip distance and population density on intra-city mobility patterns in Tokyo during COVID-19 pandemic," Papers 2201.01398, arXiv.org.
    • Handle: RePEc:arx:papers:2201.01398
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    References listed on IDEAS

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    1. Hosono, Kaoru, 2021. "Epidemic and Economic Consequences of Voluntary and Request-based Lockdowns in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).
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    3. Edward L. Glaeser & Caitlin S. Gorback & Stephen J. Redding, 2020. "How Much Does COVID-19 Increase with Mobility? Evidence from New York and Four Other U.S. Cities," Working Papers 2020-22, Princeton University. Economics Department..
    4. Giovanni Bonaccorsi & Francesco Pierri & Matteo Cinelli & Andrea Flori & Alessandro Galeazzi & Francesco Porcelli & Ana Lucia Schmidt & Carlo Michele Valensise & Antonio Scala & Walter Quattrociocchi , 2020. "Economic and social consequences of human mobility restrictions under COVID-19," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(27), pages 15530-15535, July.
    5. Tsutomu Watanabe & Tomoyoshi Yabu, 2020. "Japan’s Voluntary Lockdown," Working Papers on Central Bank Communication 027, University of Tokyo, Graduate School of Economics.
    6. Daron Acemoglu & Victor Chernozhukov & Ivàn Werning & Michael D. Whinston, 2020. "A Multi-Risk SIR Model with Optimally Targeted Lockdown," CeMMAP working papers CWP14/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Victor Couture & Jonathan I. Dingel & Allison Green & Jessie Handbury & Kevin R. Williams, 2020. "Measuring Movement and Social Contact with Smartphone Data: A Real-time Application to COVID-19," Cowles Foundation Discussion Papers 2241, Cowles Foundation for Research in Economics, Yale University.
    8. Benjamin Born & Alexander M Dietrich & Gernot J Müller, 2021. "The lockdown effect: A counterfactual for Sweden," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-13, April.
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