Co-creation Center for Disaster Resilience
Assistant Professor
Ph.D.(Environmental Studies)

Research Subject(s)
My research focuses on the development of techniques for observing and simulating people's activities and urban environments to examine quantitative and dynamic assessment of the resilience of societies and urban environments. I utilize spatial big data acquired by various sensing technology for my disaster studies.
Key Words
Geography / Geographic Information Science / GIS / Digital Twin / Spatial Big Data
Research Activities

Human mobility data acquired by smartphone applications or cell phone networks enable us to observe people's movements and activities quantitatively and dynamically. Using these technologies, I have developed a method to estimate where and how much people walk based on movement trajectories. This method can be used to assess the impact of unexpected events, such as natural disasters or infectious disease outbreaks, on people's daily activity.

As with the people's activities, the urban environment can be observed from a variety of spatial big data. By using deep learning technique, it is possible to extract segmentations of images for streetscape to quantitatively understand the state of the landscape at specific locations. In my previous work, I have built a model to automatically assess whether the streetscape at a given location is walking-friendly for older people or not.

Selected Works

Nagata, S. et al. (2020). Objective scoring of streetscape walkability related to leisure walking: Statistical modeling approach with semantic segmentation of Google Street View images. Health & Place, 66, 102428, doi:10.1016/j.healthplace.2020.102428

Nagata, S. et al. (2021). Mobility Change and COVID-19 in Japan: Mobile Data Analysis of Locations of Infection. Journal of Epidemiology, 31(6), 387–391, doi:10.2188/jea.JE20200625

Nagata, S. et al. (2021). Relationships among changes in walking and sedentary behaviors, individual attributes, changes in work situation, and anxiety during the COVID-19 pandemic in Japan. Preventive Medicine Reports, 24, 101640, doi:10.1016/j.pmedr.2021.101640

Nagata, S. et al. (2022). Development of a method for walking step observation based on large-scale GPS data. International Journal of Health Geographics, 21(1), 10, doi:10.1186/s12942-022-00312-5

Selected Memberships
  • The Association of Japanese Geographers
  • Geographic Information System Association
  • Japan Epidemiological Association