Northern Institute
Mobile phone big data analysis and the COVID-19 pandemic
| Presenter | Associate Professor Kazumasa Hanaoka | |
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Northern Institute
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| Location | Northern Institute's Savanna Room (Yellow 1, Level 2, Room 48) | |
| Open to | Public | |
About
During the COVID-19 pandemic, many countries, including Japan, imposed lockdowns several times, leading to significant changes in people's spatial behaviour. Spatial big data from mobile phones has emerged as a valuable tool for tracking these patterns. Using one of the most extensive datasets available in Japan, we propose methods to calculate the rates of outings and the geographical distributions and inflows from outside the city during the pandemic at the 250-metre grid cell level in Kyoto City. We found that first, the rate of 'staying at home' did not return to its previous level and remained about five percentage points higher. Second, people moved around the city broadly but avoided visiting the city centre, where they could not maintain social distancing and shops were closed by government requests. Third, after the lifting, the number of visitors from outside the city has recovered rapidly in the city centre and tourist areas, but not in residential and neighbourhood commercial areas.
Bio
Associate Professor Kazumasa Hanaoka
Department of Georgraphy, Ritsumeikan University
Dr. Hanaoka is an Associate Professor in the Department of Geography at Ritsumeikan University, Japan. His research activities cover various topics related to spatial microsimulation modelling, spatiotemporal analysis using mobile phone data, and census data analysis on the migration of foreign residents. He is the former director of the Institute of Disaster Mitigation for Urban Cultural Heritage at Ritsumeikan University.
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