Presentation Information
[4Yin-B-43]Quantitative Analysis of Spatial Penalties on Public Sentiment in High-Density Urban Environments
Daisuke Kikutani1, 〇Mitsuo Yoshida1 (1. University of Tsukuba)
Keywords:
Panel Data Analysis,Urban Computing,Spatial Penalty,Emotional Resilience,Digital Phenotyping
The objective of this study is to clarify the causal impact of the interaction between urban functions and population density on public sentiment during a pandemic. We constructed a 1km-grid panel dataset integrating approximately 4.7 million geotagged tweets across Japan with POI data and population density, and analyzed the data using a two-way fixed effects model. The results quantitatively demonstrate a "spatial penalty," wherein academic and green hubs, such as universities and parks, amplify psychological stress in high-density environments. Conversely, public infrastructure within local living spheres contributes to emotional stability. These findings provide insights for the transition toward "15-minute city" structures and the design of public health interventions.