01595797

Component

Quick and efficient recovery plan for metro disruption is vital to the alleviation of congestion in the affected areas. This paper proposes a multi-modal evacuation model to help metro transit organizations plan for and manage unplanned service disruptions. The model enjoys three main features. (1)Weighted average optimization method is introduced to better measure passenger utilities in disruption. Four factors are including: waiting time, walking time, in-vehicle time and transfer times, which is based on a previous work by the author. (2) The model offers a multi-modal recovery plan not only in consideration of bus bridging. (3) Besides, the model is designed in a framework partially fixed to better adapt the unpredictable and randomness feature of disruption, which means responding instantly to real-time feedback information, thus could include the updating evacuation circumstances as known conditions. The model outputs the evacuation plan including estimated evacuee population, transfer points and bus bridging strategies. Finally, the feasibility of the model has been demonstrated with the test on automatic fare collection data from a real metro disruption case in Shanghai, China.

This paper was sponsored by TRB committee AP065 Standing Committee on Rail Transit Systems.

01584066

16-5660

English

15p

2016

Transportation Research Board 95th Annual Meeting

Web

Figures; Maps; References (21) ; Tables

Automatic fare collection; Evacuation; Multimodal transportation; Passengers; Public transit; Rail transit; Service disruption; Travel time

Shanghai (China)

Operations and Traffic Management; Public Transportation; Safety and Human Factors

Transportation Research Board Annual Meeting 2016 Paper #16-5660

PRP, TRIS, TRB, ATRI

Jan 12 2016 6:28PM