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Smart cards are used worldwide in transport applications as a payment tool. So, cities will have big and constantly updated collections of transactions data from cards validation equipment. Of course, this data source could be used to study user behavior from collected observations, to detect movement patterns, to perform new route planning, etc. In this paper, we are going to provide a survey of data models used in such kind of analysis and describe practical questions (problems) that could be solved with histories of payment transactions collected by cities and transport companies. In our opinion, this information will be useful for smart cities applications because of the relative ease of collection of such data and their transparency. In the context of smart city users, mobility is one of the keys components.