Technical Papers
Oct 8, 2020

Integrated Planning and Operation of Bus Bridging Evacuation for Metro Rail Disruption

Publication: Journal of Urban Planning and Development
Volume 146, Issue 4

Abstract

Bus bridging evacuation refers to transporting affected passengers to their destination stations during metro disruption by buses dispatched from depots. Planning bus bridging plays an important role in maintaining the level of service of metro rail and serving affected passenger demands. This paper presents an integrated planning and operational model for bus bridging evacuation, in which the varying bridging passenger demand at disrupted metro stations, the arrival and departure of bus fleets, the dwelling time of a bus fleet, and the number of alighting and boarding passengers at disrupted metro stations are captured in detail. Based on the dynamics of a bus bridging system, bus bridging routes are planned to stop at intermediate disrupted metro stations between their dispatched disrupted metro station and turnover stations. Results of a case study with Shanghai metro line 16 demonstrate the advantage of the proposed planning model in real-world application. The proposed model and its simulation-based solving algorithm yield economical bridging plans with fewer dispatched buses and lower operation cost compared with our previous model. Results of the case study show that total operation cost and computation time are contradictory with each other. The combination of larger population size, larger maximum number of generations, and larger crossover rate probably contributes to finding the globally optimal bus dispatch plan.

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Acknowledgments

The authors are grateful for the support by the National Natural Science Foundation of China (Grant No.: 71601110, 71971136) and Shanghai Science and Technology Committee (Grant No. 19030501400). Any opinions, findings, and conclusions stated in this paper are those of the authors and do not necessarily reflect the views of these funding bodies.

Notation

The following symbols are used in this paper:
aij,kp
number of passengers getting off bus fleet nij at bridging metro station k in pth trip, passenger;
bij,kp
number of passengers getting on bus fleet nij at bridging metro station k in pth trip, passenger;
c
total operation cost, $;
cd
average dispatch cost of a bridging bus, $/bus;
ce
average travel cost for a bridging bus per second, $/bus/sec;
dij
total transportation time of bus fleet nij, sec;
I
number of available bus depots;
i
index of available bus depots (i = 1, 2, …, I);
J
number of disrupted metro stations;
j, k, l, m
index of bridging metro stations (j, k, l, m = 0, 1, 2, …, J, J + 1), 0 and J + 1 denote the nearest operating metro stations at both ends;
Lij
distance from bus depot i to bridging metro station j, m;
Lk,l
distance from bridging metro station k to bridging metro station l, m;
Ni
number of available buses at bus depot i, bus;
ni
number of buses dispatched from bus depot i, bus;
nij
size of bus fleet dispatched from bus depot i to disrupted metro station j (j = 1, 2, …, J), bus;
Ojk
demand from bridging metro station j to bridging metro station k, passenger;
p
index of trip, p = 0, 1, 2, …;
s
capacity of a bridging bus, passenger/bus;
t
time, t = 0, 1, 2, …, sec;
tij
travel time of bus fleet nij from bus depot i to bridging metro station j, sec;
tij,kl
travel time of bus fleet nij from bridging metro station k to bridging metro station l, sec;
tij,kp
dwell time of bus fleet nij at bridging metro station k in pth trip, sec;
vij
average travel speed from bus depot i to bridging metro station j, m/sec;
vij,kl
average travel speed for bus fleet nij from bridging metro station k to bridging metro station l, m/sec;
Xj
total bridging demand at disrupted metro station j, passenger;
xkij,p
bridging demand at disrupted metro station k in pth trip of bus fleet nij, passenger;
yij
number of complete downstream trips of bus fleet nij;
zij
number of complete upstream trips of bus fleet nij;
δb
average boarding time for one passenger, sec/passenger; and
δa
average alighting time for one passenger, sec/passenger.

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 146Issue 4December 2020

History

Received: Oct 19, 2019
Accepted: Jul 2, 2020
Published online: Oct 8, 2020
Published in print: Dec 1, 2020
Discussion open until: Mar 8, 2021

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Authors

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Associate Professor, College of Urban Railway Transportation, Shanghai Univ. of Engineering Science, Longteng Rd., Shanghai 201620, P. R. China. Email: [email protected]
Associate Professor, College of Transport and Communications, Shanghai Maritime Univ., 1550 Haigang Avenue, Shanghai 201306, P. R. China (corresponding author). ORCID: https://orcid.org/0000-0002-5811-4209. Email: [email protected]
Zhigang Liu [email protected]
Professor, College of Urban Railway Transportation, Shanghai Univ. of Engineering Science, Longteng Rd., Shanghai 201620, P. R. China. Email: [email protected]

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