Abstract
Abstract The data-driven probabilistic model of MRT-based population mobility is developed for St. Petersburg, Russia. This model is based on impersonal data which contains only the inflows and outflows of the passengers in the MRT stations; the personal tracks of the passengers are unavailable. The model explains the spatiotemporal variability of MRT traffic using common factors which may be associated with non-local social and environmental phenomena.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
