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

Author

Tianqi, Gu ; Rongjun, Zhu ; Wenting, Liu ; Xuewu, Chen ; Min, Yang

Author_Institution

Suzhou Municipal Eng. Design Inst., Suzhou, China

fYear

2011

fDate

26-28 July 2011

Firstpage

1208

Lastpage

1211

Abstract

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.

Keywords

forecasting theory; railways; transportation; RP data-based two-stage railway mode choosing model; SP data-based two-stage railway mode choosing model; Suzhou Railway; data aggregating technology; data digging; false data eliminating method; interactive functional module; local transportation system; macroscale forecasting; transferring rate forecasting; transport mode share rate estimation; two-stage transport mode choice pattern; urban railway; Data models; Forecasting; Joints; Planning; Predictive models; Rail transportation; MNL model; RP+SP joint questionnaire survey technology; aggregating forecast; false data forecasting method; two-stage transport mode choosing model; urban railway transportation system;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2011 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-61284-771-9

Type

conf

DOI

10.1109/ICMT.2011.6002956

Filename

6002956