Advanced Analysis of Socio-Economical Data for Capturing Social Needs

Features and Uniqueness
  • We have proposed advanced methods of behavior analysis for public transport service.
  • They include a demand composition based on the automatically mesured traffic data, estimation of true demand partly unrealized by the congestion, and intense usage of geographical data. These methods may be applicable for behavior analysis besides transport service.
Practical Application

We welcome cooperative research on demand analysis of public services, as well as needs analysis for new goods and services.



International Research Institute of Disaster Science

Makoto Okumura, Professor
Doctor of Engineering