Sensitivity Analysis about Traffic Mode Selection of Lintong Metro Line Based on Logit Model

Article Preview

Abstract:

Lintong Metro Line is one intercity railway transit line of the “Xi’an urban rail transit network (revision)”. This line forms an important link between Xi’an and Lintong.The main modes of this link are cars, buses, subway and intercity railway. To determine different modes of traffic corridors sharing ratio, this paper determines the logit model coefficients by analyzes the characteristics of different traffic modes, according to the person trip survey of Xi’an. Then finalizing the sharing ratio range of different traffic modes as well as the shared variability when the intercity railway is not repaired.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1977-1980

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Huiying Wen, Wenchuang Zeng: Study of Decision Tree Structure of Traffic Mode Choice Based on the Goodness of Fit Measure. Journal of Transportation Systems Engineering and Information Technology, 129-133(2010).

Google Scholar

[2] Jungang Jia, Dongyuan Yang: Modeling Traffic Modal Split with Probabilistic Neural Network. University of Shanghai for Science and Technology. 9-10 (1999).

Google Scholar

[3] Zheng Wang: Generalized Logit Method for Traffic Modal Splitting. Journal of Tongji University, 345-346(1999).

Google Scholar

[4] Hongzhi Guan: Disaggregate model-traffic behavior analysis tools, People's Communication Press, (2004).

Google Scholar

[5] Qipeng Sun, Lei Zhu and Bo Chen: A Dynamic Generalized Cost Based Logit Model for Passenger Corridors, Journal of Transportation Systems Engineering and Information Technology, 15-17(2013).

DOI: 10.1016/s1570-6672(13)60115-4

Google Scholar

[6] Wen C H, Koppelm F. The generalized nested Logit model, Transportation Research B, (627-624)(2001).

Google Scholar