Journal of Jilin University(Engineering and Technology Edition) ›› 2026, Vol. 56 ›› Issue (9): 2340-2349.doi: 10.13229/j.cnki.jdxbgxb.20250150

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Multi⁃modal evacuation strategies for metro operational disruptions

Yuan-wen LAI(),Yang-fan WU,Jian-hong LIANG,Yuan-chen CAI,Shu-yi WANG()   

  1. College of Civil Engineering,Fuzhou University,Fuzhou 350116,China
  • Received:2025-02-26 Online:2026-09-01 Published:2026-09-07
  • Contact: Shu-yi WANG E-mail:laiyuanwen@fzu.edu.cn;syw@fzu.edu.cn

Abstract:

A multi-modal emergency evacuation strategy combining emergency buses and emergency cabs is proposed for the problem that existing studies mostly relied only on emergency shuttle buses for passenger flow evacuation under metro operation disruption scenarios, with little consideration given to coordinated evacuation via multi?mode travel. First, a multi-modal emergency access model is constructed to minimize passenger travel delays and reduce emergency evacuation costs. Then, a genetic algorithm is designed to solve the problem. Finally, the two-way operational disruptions in the morning peak interval of metro line 1 in Fuzhou City are used as a case study to verify the effectiveness and practicality of the model and algorithm. The results show that compared with the single bridging bus strategy, the multi-modal evacuation strategy achieves a reduction of 9.2% and 22.4% in the total cost and passenger travel time cost, respectively.

Key words: urban traffic, metro operation disruption, passenger travel mode choices, multi-modal evacuation strategy, genetic algorithm

CLC Number: 

  • U491

Fig.1

Schematic diagram of bridging bus evacuation"

Fig.2

Schematic diagram of emergency cabs evacuation"

Fig.3

Schematic diagram of the genetic algorithm process"

Fig.4

Schematic diagram of interrupted intervals and bridging bus stops on Fuzhou Metro Line 1"

Table 1

Bridging bus stop information"

地铁站点公交驻车点驻车点编号可用车辆数/辆指派时间/min
南门兜(S9道山路口公交站Z134
仁德枢纽场站Z284
福州高速指挥中心Z3814
三叉街(S13公交专用停车场Z4510
公交集团亚峰停车场Z5610
公交驾校停车场Z688

Table 2

Minimum travel distance between stations"

站点编号最短行驶距离/km站点编号最短行驶距离/km
S1~S21.7S13~S141.4
S2~S31.1S14~S151.2
S3~S42.4S15~S160.9
S4~S51.6S16~S171.2
S5~S60.9S17~S180.8
S6~S71.2S18~S191.1
S7~S81.3S19~S201.7
S8~S90.8S20~S211.5
S9~S100.9S21~S221.0
S10~S111.6S22~S231.4
S11~S122.5S23~S243.0
S12~S131.1S24~S250.7

Table 3

Interruption of service intervals affected by passenger demand"

DO
S9S10S11S12S13
S90436404284233
S101780814104
S112231209232
S12505332087
S136713532371960

Table 4

Probability of passengers choosing bridging bus evacuation"

DO
S9S10S11S12S13
S900.243 90.217 60.226 60.240 4
S100.243 900.206 50.208 60.207 9
S110.217 60.206 500.222 70.218 3
S120.226 60.208 60.222 700.232 6
S130.240 40.207 90.218 30.232 60

Table 5

Probability of passengers choosing emergency cabs evacuation"

DO
S9S10S11S12S13
S900.294 10.327 50.329 60.324 2
S100.294 100.323 70.327 70.335
S110.327 50.323 700.314 90.321 6
S120.329 60.327 70.314 900.280 4
S130.324 20.3350.321 60.280 40

Fig.5

Change curve of objective function"

Table 6

Dispatch program for emergency cabs"

站点编号召集出租车辆/辆开行线路
S925S9~S10
S9~S11
S9~S13
S1024S10~S12
S1124S11~S9
S11~S13
S1225S12~S9
S12~S10
S1324S13~S9
S13~S10

Table 7

Dispatch program for bridging buses"

公交驻车点

编号

派出车辆数/辆运行模式

发车频率/

(辆·min-1

12“站站停”0.664
26
31
41
51
62

Fig.6

Comparison of passenger travel time and operating costs under different connectivity strategies"

Fig.7

Sensitivity analysis of total cost-frequency of dispatch and cab dispatch scale"

Fig.8

Sensitivity analysis of passenger travel cost-operating cost and cab dispatch scale"

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