Evaluation of urban planning and development is becoming more and more important due to the large-scale urbanization of the world. With the application of mobile phone data, people can analyze the development status of cities from more perspectives. By using the mobile phone data of Beijing, the working population density in different regions was identified. Taking the working population density in Beijing as the research object and combining the land use of the city, the development status of Beijing was evaluated. A geographically weighted regression model (GWR) was used to analyze the difference in the impact of land use on the working population between different regions. By establishing a correlation model between the working population and land use, not only can the city’s development status be evaluated, but it can also help city managers and planners to make decisions to promote better development of Beijing.

The crowd in a metro system can cause inconvenience and even safety problems to passengers. The study of crowded propagation in metro systems can identify where and when crowds occur, ensuring travel quality and safety. Based on this, a modified susceptible–infected-susceptible (SIS) crowded propagation model is proposed to estimate the risk probability of crowding (RPC) in the metro network. Each station’s real transport capacity is considered. Infection rate and the recovery rate are proposed considering the traffic difference between stations. Using the Beijing metro network as a case study, the spatial and temporal patterns of crowded propagation are analyzed, and the types of nodes suitable for regulation are further discussed. This proposed model can provide a reference for RPC identification and regulation and promote sustainable development of metro operations.

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