Proceedings of the 2017 6th International Conference on Energy, Environment and Sustainable Development (ICEESD 2017)

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

Authors
Lu Zhao, Enjian Yao, Shasha Liu, Binbin Li
Corresponding Author
Lu Zhao
Available Online April 2017.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-328-9
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceesd-17.2017.52How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 274
EP  - 277
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-17.2017.52
DO  - https://doi.org/10.2991/iceesd-17.2017.52
ID  - Zhao2017/04
ER  -