Transportation data as a source for identifying social clusters in the cityстатья
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Дата последнего поиска статьи во внешних источниках: 27 июля 2022 г.
Аннотация:The digitalization of the transport industry now makes it possible to measure transport behavior quite accurately. Digital payment tools and the development of telecommunications make it possible, in particular, to have complete information about the routes (trips) of passengers in the city. This changes the traditional approach to transport tasks. If earlier the main topic was the forecasting of traffic flows, now the main thing is to highlight the patterns of using the transport system. It is pointless to predict what can be accurately measured. 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 - a residential area, office centers, etc. 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 travel documents (in fact, in the form of payment for the trip) and the frequency of trips are used as the basis for such clustering.