Parallel Experiment for Urban Rail Emergency Evacuation: An Approach for Hub Identification

2013 ◽  
Vol 28 (4) ◽  
pp. 52-59 ◽  
Author(s):  
Hairong Dong ◽  
Renhai Ouyang ◽  
Bin Ning ◽  
Guanrong Chen
Keyword(s):  
Emergency Evacuation ◽  
Parallel Experiment ◽  
Urban Rail

scholarly journals A Feeder-Bus Dispatch Planning Model for Emergency Evacuation in Urban Rail Transit Corridors

PLoS ONE ◽  
2016 ◽  
Vol 11 (9) ◽  
pp. e0161644 ◽  
Author(s):  
Yun Wang ◽  
Xuedong Yan ◽  
Yu Zhou ◽  
Wenyi Zhang
Keyword(s):  
Emergency Evacuation ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Planning Model ◽  
Urban Rail ◽  
Feeder Bus

scholarly journals Study of the Bus Dynamic Coscheduling Optimization Method under Urban Rail Transit Line Emergency

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yun Wang ◽  
Xuedong Yan ◽  
Yu Zhou ◽  
Jiaxi Wang ◽  
Shasha Chen
Keyword(s):  
Urban Areas ◽  
Solution Process ◽  
Optimization Method ◽  
Emergency Evacuation ◽  
Negative Influence ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Evacuation Time ◽  
Passenger Safety ◽  
Urban Rail

As one of the most important urban commuter transportation modes, urban rail transit (URT) has been acting as a key solution for supporting mobility needs in high-density urban areas. However, in recent years, high frequency of unexpected events has caused serious service disruptions in URT system, greatly harming passenger safety and resulting in severe traffic delays. Therefore, there is an urgent need to study emergency evacuation problem in URT. In this paper, a method of bus dynamic coscheduling is proposed and two models are built based on different evacuation destinations including URT stations and surrounding bus parking spots. A dynamic coscheduling scheme for buses can be obtained by the models. In the model solution process, a new concept—the equivalent parking spot—is proposed to transform the nonlinear model into an integer linear programming (ILP) problem. A case study is conducted to verify the feasibility of models. Also, sensitivity analysis of two vital factors is carried out to analyze their effects on the total evacuation time. The results reveal that the designed capacity of buses has a negative influence on the total evacuation time, while an increase in the number of passengers has a positive effect. Finally, some significant optimizing strategies are proposed.

Emergency evacuation with unbalanced utilization of exits atplatform level: A simulation study

2021 ◽  
pp. 1-9
Author(s):  
Hongxu Chen ◽  
Xingjian Huang ◽  
Huan Li ◽  
Haibo Zhang
Keyword(s):  
Optimization Model ◽  
Three Dimensional ◽  
Emergency Evacuation ◽  
Urban Rail Transit ◽  
Utilization Rate ◽  
Evacuation Time ◽  
Passenger Flow ◽  
Urban Rail ◽  
Depth Analysis ◽  
Dimensional Simulation

Urban rail transit station has a large number of people gathering and relatively closed space, which has become a high incidence of emergencies. In the process of emergency evacuation, due to the unbalanced utilization rate of exits, the evacuation time is prolonged, which seriously threatens the safety of people in the station. In order to find out the reasons for the imbalance of the utilization rate of the exit, and put forward the solution, balance the utilization rate of each exit, improve the evacuation efficiency. In this paper, a subway station platform in Southwest China is taken as an example to establish a three-dimensional simulation model by using anylogic software. Through in-depth analysis, it is found that the reason for the unbalanced utilization of the platform floor exit is that the number of evacuation people at each exit does not match the evacuation capacity. According to the analysis results, the optimization model is put forward. Through comparative analysis, it is found that the optimization model can effectively balance the export utilization rate. Under the current conditions of off peak passenger flow, peak passenger flow and long-term peak passenger flow, the evacuation time can be saved by more than 20%.

scholarly journals Compensation Decisions on Disruption Recovery Service in Urban Rail Transit

2019 ◽  
Vol 31 (4) ◽  
pp. 367-375 ◽  
Author(s):  
Zhijie Yang ◽  
Xiaolong Chen
Keyword(s):  
Supply Chain ◽  
Stackelberg Game ◽  
Emergency Evacuation ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Game Model ◽  
Factors Affecting ◽  
Service Supply Chain ◽  
Urban Rail ◽  
Attractive Option

Ride-hailing, in addition to a common mode of daily transportation, is an attractive option for evacuating stranded passengers and supplementing bus bridging in the early stages of an urban rail transit (URT) disruption. This paper proposes a service supply chain comprised of ride-hailing vehicles, ride-hailing platforms, and stranded passengers wherein the URT and ride-hailing chain together provide emergency evacuation services. The emergency evacuation service supply chain can be coordinated under an effort-based revenue sharing contract. A URT-dominated Stackelberg game model between the URT and ride-hailing platform is then formulated to optimize compensation decisions on the part of the URT; numerical analysis reveals critical factors affecting the said decisions. The main contributions of this paper are two-fold: first, it provides new information regarding collaboration between URT operators and ride-hailing platforms for stranded passenger evacuation, including a ride-hailing platform pricing strategy; and second, the URT compensation decision process is solved via Stackelberg game model while revealing an incentive coefficient parameter for the URT decision and solver.

scholarly journals Transit-Based Evacuation for Urban Rail Transit Line Emergency

2020 ◽  
Vol 12 (9) ◽  
pp. 3919 ◽  
Author(s):  
Bowen Hou ◽  
Yang Cao ◽  
Dongye Lv ◽  
Shuzhi Zhao
Keyword(s):  
Optimization Model ◽  
Control Method ◽  
Time Window ◽  
Emergency Evacuation ◽  
Urban Rail Transit ◽  
Disruption Management ◽  
Rail Transit ◽  
Urban Transit ◽  
Transit Systems ◽  
Urban Rail

Urban rail systems are the backbone of urban transit networks and are characterized by large passenger volumes, high speeds, punctuality, and low environmental impacts. However, unforeseen events such as rail transit line emergencies can lead to unexpected costs and delays. As a means of disruption management, we divide the decision support system for urban rail transit line emergency situations into two stages—transit-based evacuation and bus bridging management. This paper focuses on the transit-based evacuation under emergency scenarios on a single rail line. The model determines the vehicles and routes within traditional transit systems required to evacuate stranded passengers within a given time window. In addition, the proposed method ensures the reliability of traditional transit systems by considering the operating fleet and reserve fleet in the traditional transit systems. Therefore, the proposed optimization model is established with the objective of maximizing the total number of stranded passengers transferred within the given time window and headway constraint. Herein, we present the optimization model and solution method, and the proposed method is validated. The effectiveness of the proposed control method is evaluated in the Changchun urban transit network. By analyzing stranded passengers at stations under different numbers of vehicles and time periods, the results show that the proposed model can significantly provide routing arrangements to maximize the number of passengers evacuated from stations. The results are useful in the development of emergency evacuation plans to prevent secondary accidents and evacuate stranded passengers during a rail transit line emergency.

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