הזמנה להרצאה השלישית במסגרת הסדרה Big Data, AI and Urban Future

Simulating high-resolution spatio-temporal distribution of urban population and activities for the earthquake response

With an eye on the applications to spatial planning and sustainable development, I present a spatially explicit high-resolution model of the multi-mode urban mobility and, specifically, train and car use dynamics, using the big data of several kinds: personal trips survey, road traffic census, and population statistics derived from the mobile phone data.
I apply this model to the estimation of population mobility in the Tokyo metropolitan area, focusing on the consequences of large-scale disasters and earthquake mitigation planning.