You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
3 December 2015Transit ridership prediction of Changchun light rail line 3
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.
The alert did not successfully save. Please try again later.
Jie Li, Xingyi Shi, Zhixia Jiang, Yongxing Li, 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