Sixth International Conference on Transportation Engineering
Route Choice Probability Model Based on Urban Rail Transit Passenger Classification
Publication: ICTE 2019
ABSTRACT
The “seamless transfer” operation mode of the subway makes it possible for passengers to have multiple route choice for the same OD pair. In order to better reflect the distribution of passenger flow in the metro network, it is particularly important to study the passenger route choice behavior. The passenger route choice model from the two principles of utility maximization and regret minimization is proposed in this study. Comparing the route choice probability calculated by the two types of models with the actual route choice probability. A hybrid route choice probability model based on two principles is developed and applied in the actual passenger flow assignment.
Get full access to this chapter
View all available purchase options and get full access to this chapter.
ACKNOWLEDGEMENT
This research was supported by the Open Research Fund for National Engineering Laboratory of Integrated Transportation Big Data Application Technology (NO. CTBDAT201910). The authors appreciate the data support from Shenzhen Urban Planning & Land Resource Research Center.
REFERENCES
GAO, Yufang. (2018).Research on Dynamic Assignment Model of Urban Rail Transit Based on Regret Theory.(Master dissertation, Beijing Jiaotong University).
Leurent, F.(2012). On seat capacity in traffic assignment to a transit network. Journal of Advanced Transportation, 46(2), 112-138.
LAI, Xinjun, YU, Zhi, & LI, Jun. (2012). Derivation, application and verification of relative impedance logit route selection model. Transportation Systems Engineering and Information, 12(2), 85-90.
LIU, Jianfeng. (2012). Transfer-based urban rail transit network traffic distribution modeling and empirical research. (Doctoral dissertation, Beijing Jiaotong University).
Sebastián Raveau, Muñoz, J. C., & Grange, L. D. (2011). A topological route choice model for metro. Transportation Research Part A: Policy and Practice, 45(2), 0-147.
Savage, L.(1954). The Foundations of Statistics. John Wiley.
Tirachini, A., Hensher, D. A., & Rose, J. M. (2013). Crowding in public transport systems: effects on users, operation and implications for the estimation of demand. Transportation Research Part A: Policy and Practice, 53, 36-52.
Information & Authors
Information
Published In
ICTE 2019
Pages: 532 - 539
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Jan 13, 2020
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.