Passenger Flow Analysis for the Surrounding Subway Stations of Large Special Event Site during Dissipation

DOI

10.2991/iceesd-17.2017.52How to use a DOI?

Keywords

urban rail transit; travel demand forecast; large special event; disaggregate model

Abstract

Urban rail transit plays an increasingly important role in conveying passengers when large special events are held. In order to analyze the impact of large special events on surrounding subway stations and provide the reasonable reference for the management department to organize passenger flow and make the train dispatching plan, it's necessary to analyze the passenger flow demand for the surrounding subway stations of large special event site during dissipation. First, the impact of large special events on entrance passenger flow of surrounding subway stations is analyzed. Then, using disaggregate theory, a model is established and estimated on the basis of stated preference survey data. Finally, based on the proposed model, the passenger flow of the surrounding stations during an actual event is forecasted. The result shows that the maximum relative error of total passenger flow is 8.4%, verifying the proposed approach is to be practical.

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/).

Download article (PDF)

TY  - CONF
AU  - Lu Zhao
AU  - Enjian Yao
AU  - Shasha Liu
AU  - Binbin Li
PY  - 2017/04
DA  - 2017/04
TI  - Passenger Flow Analysis for the Surrounding Subway Stations of Large Special Event Site during Dissipation
BT  - Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)
PB  - Atlantis Press
SP  - 274
EP  - 277
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-17.2017.52
DO  - 10.2991/iceesd-17.2017.52
ID  - Zhao2017/04
ER  -