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3 December 2015 Transit ridership prediction of Changchun light rail line 3
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Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 97942R (2015) https://doi.org/10.1117/12.2205654
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jie Li, Xingyi Shi, Zhixia Jiang, Yongxing Li, and Hongfei Jia "Transit ridership prediction of Changchun light rail line 3", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97942R (3 December 2015); https://doi.org/10.1117/12.2205654
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