Study on the Definition of the Influence Area of the Station and the Prediction of the Traffic Mode Sharing Rate
Authors
Shuangzhou Guo
Corresponding Author
Shuangzhou Guo
Available Online May 2017.
- DOI
- 10.2991/ammsa-17.2017.55How to use a DOI?
- Keywords
- rail transit; transfer and feeder; system character; logit model; transit hub theory; layout and location; feeder bus; genetic algorithm
- Abstract
Studied the theory of integration of rail and bus transit was. Combined with the urban master plan, analysis the two characters, With the study on the characteristics of city tenor city economic developing economic globally and the characteristics of market economy, studied the passenger flow forming mechanism. The influential area of railway station was studied. Surveyed the time difference among walk+rail", "walk+bus", a model was set up and its algorithm was given, finally the different type station area, transfer and middle station were given.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Shuangzhou Guo PY - 2017/05 DA - 2017/05 TI - Study on the Definition of the Influence Area of the Station and the Prediction of the Traffic Mode Sharing Rate BT - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017) PB - Atlantis Press SP - 249 EP - 251 SN - 1951-6851 UR - https://doi.org/10.2991/ammsa-17.2017.55 DO - 10.2991/ammsa-17.2017.55 ID - Guo2017/05 ER -