Traditional urban data, such as questionnaire data, resident interviews, and statistical information, suffer from high collection costs, low efficiency, limited population coverage, and poor data accessibility. With the rapid development of next-generation information and communication technologies, a large number of new types of urban data have been generated, which better addresses the limitations of traditional urban data. When the devices and systems for data collection are already deployed, the cost of data collection is relatively low, and the speed is very fast, even reaching the point of real-time data collection.