Addressing urban segregation requires finding and evaluating new policies and investments. In this project, we will use georeferenced mobile phone data to estimate an activity based travel demand model, Scaper. The model will produce representative but truly anonymized activity travel patterns for a synthetic population. The calibrated model will allow for the visualization and analysis of, e.g. individuals moving through a park in the current situation as well as under policy scenarios.
Lead researcher KTH: Oskar Västberg
Lead researcher MIT: Paolo Santi
Fatemeh Naqavi, KTH
Daniel Jonsson, KTH
Marcus Sundberg, KTH
Anders Karlström, KTH
Muriel Beser Hugosson, KTH
Zimmermann, M., Västberg, O. B., Frejinger, E., & Karlström, A. (2018). Capturing correlation with a mixed recursive logit model for activity-travel scheduling. Transportation Research Part C: Emerging Technologies, 93, 273-291.