Analysis on the effect of COVID-19 measures on human mobility in downtown of local city using transportation big data

During the COVID-19 pandemic, decreasing human mobility remains an essential measure despite the start of vaccinations due to the disease’s long incubation period and high infectivity. This study aims to investigate the effects of the 1st state of emergency, prefectural state of emergency, and 2nd state of emergency on human mobility during the COVID-19 pandemic based on the mobile spatial statistics and the pedestrian count data by applying the Bayesian structural time series model. First, the authors quantified the effects of different states of emergency regarding both under and after the declaration. Second, comparing the two data sets shows that the staying time reduced after the 1st state of emergency even though the number of pedestrians recovered the previous level. Third, the changes in human mobility consistent with the existing surveys on remote work and behaviors during the COVID-19 pandemic.

• Record URL:
  https://doi.org/10.11361/journalcpij.56.834
• Record URL:
  https://www.jstage.jst.go.jp/article/journalcpij/56/3/56_834/_pdf
• 
• Record URL:
  https://scholar.google.com/scholar_lookup?title=Analysis%20on%20the%20effect%20of%20COVID-19%20measures%20on%20human%20mobility%20in%20downtown%20of%20local%20city%20using%20transportation%20big%20data&author=Y.%20Nishihori&author=S.%20Eom&author=K.%20Sasaki&author=H.%20Kato&publication_year=2021
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09160647
• Authors:
  • Nishihori, Yasuhide
  • Eom, Sunyong
  • Sasaki, Kuniaki
  • Kato, Hideki
• Publication Date: 2021

Language

• English
• Japanese

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 834-841
• Serial:
  • Journal of the City Planning Institute of Japan
  • Volume: 56
  • Issue Number: 3
  • Publisher: City Planning Institute of Japan
  • ISSN: 0916-0647
  • EISSN: 2185-0593
  • Serial URL: https://www.jstage.jst.go.jp/browse/journalcpij/-char/en

Subject/Index Terms

• TRT Terms: Central business districts; COVID-19; Data files; Impacts; Mobility; Time series analysis
• Subject Areas: Planning and Forecasting; Security and Emergencies; Transportation (General);

Filing Info

• Accession Number: 01789572
• Record Type: Publication
• Source Agency: Japan Science and Technology Agency (JST)
• Files: TRIS, JSTAGE
• Created Date: Nov 30 2021 10:19AM