Perspectives of Big Data Analysis in Urban Railway Planning: Shenzhen Metro Case Study

Urban railway system is of great importance to public transportation and economic development. However, due to the fast development of urban cities and time-consuming construction, it is quite challenging to plan a successful metro railway system beforehand. In this paper, we propose perspectives of evaluating traffic efficiency of metro railway systems from various factors such as the total railway traffic flow, the structure of the traffic system and the spatial distribution of work-and-home. We evaluate the implementation effect of Shenzhen railway system (particular the second phase construction) based on historical and real-time data reported by 28,000 passengers, which will provide insightful suggestions for Shenzhen metro construction in the future.