Improved grey uniform analysis of factors affecting urban transit ridership

With the guidance of public transport priority development idea, it is very important to discuss the main affecting factors which are grey correlated to transit ridership in city. Firstly, this paper selects ten affecting factors reflecting the service level of public transportation and urban development. Secondly, the paper puts forward an improved grey uniform analysis (IGUA) which considers the differences in change rate and negative correlation factors. Moreover, the difference degree is defined in IGUA to determine the length of time series which considers the influence of dimensionless methods on analysis results. Finally, the paper takes Beijing as an example to validate the IGUA. Though comparison analysis, the effectiveness of the IGUA is proved.