RP and SP data-based two-stage railway mode choosing model—Take Suzhou railway i as an example

The paper analyzed a two-stage choice pattern of transport mode under the circumstance that a new urban railway is going to be introduced to local transportation system. The supporting RP and SP data were obtained from a questionnaire of Suzhou railway. The paper accounted for bias nature of SP data and put forward a false data eliminating method. Then, from data digging in the survey, three interactive functional modules are built to estimate the share rate of transport modes not only in a macro scale but could it forecast the transferring rate. Finally, data aggregating technology is introduced which is proved to do macro-scale forecasting.