Passenger Flow Analysis for the Surrounding Subway Stations of Large Special Event Site during Dissipation
Lu Zhao, Enjian Yao, Shasha Liu, Binbin Li
Available Online April 2017.
- https://doi.org/10.2991/iceesd-17.2017.52How to use a DOI?
- urban rail transit; travel demand forecast; large special event; disaggregate model
- 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.
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 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 - https://doi.org/10.2991/iceesd-17.2017.52 ID - Zhao2017/04 ER -