GIS modelling of the public transport loading in city morning rush hour

This research was made for passenger flow modelling in urban transport system. There are some new methods to solve this task, but they require some special programs like ArcGIS or some data like phone cells usage. This is a matter of privacy, and sometimes it is not desired to be used in research due to financial reasons. This study is focused on publicly distributed information like master plan materials. There are five steps to perform the result. The first is a building category prediction through logistic regression. The next one is construction elevation modelling through linear regression. Its levels were used as elevation metrics. After that is population distribution across the city using volume of building. The fourth is workplace distribution across buildings in the city using their volume and category. Finally, there is loading estimation which consists of creating correspondence matrix. This methodology was probed in Kazan and Nizhniy Novgorod cities, RF. As a result, overloaded places were identified. They are near city center in the route from outskirts