Social clusters in the city

Oleg Pokusaev, Dmitry Namiot, Alexander Chekmarev

Abstract


Digital methods of recording trips in transport today allow a quite accurate measurement of transport behavior. Digital payment tools and the development of telecommunications make it possible, in particular, to have complete information about passenger trips in the city. Accordingly, data on the movements of passengers become an indicator of the processes that take place in the city. In fact, transport data act as sensors, the measurements of which reflect the processes in the city system. For example, the distribution of entrances and exits of a particular metro station reflects the mode of use of the adjacent territory. In this paper, we consider the problem of assessing social clusters in a city based on information about the use of metro stations. Information on the form of payment for trips is used as the basis for such clustering.

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References


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