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Proceedings Paper

Transit ridership prediction of Changchun light rail line 3
Author(s): Jie Li; Xingyi Shi; Zhixia Jiang; Yongxing Li; Hongfei Jia
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Paper Abstract

Urban rail transit ridership prediction has some guide meaning to urban rail transit planning and rail transit construction. In this paper, we use four-step method for rail transit ridership prediction. By considering Changchun GDP, land utilization rate, population and other factors, we use regression analysis method to predict trip generation, gravity model to predict trip distribution, logit model for model split and equilibrium model for traffic assignment. Finally, built the bus network model to obtain cross-sectional transit ridership of Changchun light rail line 3.

Paper Details

Date Published: 3 December 2015
PDF: 5 pages
Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97942R (3 December 2015); doi: 10.1117/12.2205654
Show Author Affiliations
Jie Li, Changchun Univ. of Science and Technology (China)
Xingyi Shi, Changchun Univ. of Science and Technology (China)
Zhixia Jiang, Changchun Univ. of Science and Technology (China)
Yongxing Li, Jilin Univ. (China)
Hongfei Jia, Jilin Univ. (China)


Published in SPIE Proceedings Vol. 9794:
Sixth International Conference on Electronics and Information Engineering
Qiang Zhang, Editor(s)

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