  The article analyzes the patterns of use of railway stations in the Moscow
region. The basis for the analysis is the data of smart cards on the entrances
and exits of passengers. The technical tool is time series similarity analysis.
As a result, the work identifies the main patterns of user behavior on the use
of railway stations (railway transport). The results of the work were used in
the design of new lines of urban railways. Obviously, the use patterns reflect
the current state of the transport system and the urban environment.
Accordingly, the recorded changes in usage patterns can serve as indicators and
metrics for changes in the urban environment.
