An approach for evaluating connectivity of interrupted rail networks with bus bridging services

Yang, Yang; Hongxiang, Ding; Feng, Chen; Yang, Huimin

doi:10.1177/1687814018766927

Cited by 5 publications

(6 citation statements)

References 28 publications

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“…Kepaptsoglou et al studied the bus bridging problem from the perspectives of conceptual framework, model, and algorithm [15]. Yang et al analyzed the importance of bus bridging service for the URT network connectivity [16].…”

Section: Literature Reviewmentioning

confidence: 99%

An Optimization Approach considering Passengers’ Space-Time Requirements for Bus Bridging Service under URT Disruption

Shao

Song

2022

Journal of Advanced Transportation

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Rapid urbanization and growth of population in megacities generate severe pressures on urban rail transit (URT) system. The quantity and frequency of disruptive events have increased significantly, which might have obvious adverse impacts. A large number of passengers are stranded at disrupted URT station when a disruptive event occurs. One essential solution for passenger evacuation is the bus bridging service. This paper is aimed at addressing the passenger evacuation problem caused by a disruptive event in the URT network, by proposing a bus bridging service model considering the passengers’ space-time requirements. The model is proposed to minimize the waiting time of passengers and considers factors including bus service capacity limitations, bus stop parking capacity, and the maximum bridging time limit of a single bus. Buses are assumed to provide bridging service on either the local bus route or the direct bus route. The optimal routes and scheduling plans of bridging bus are designed. The model is applied to an example of a disruptive event in Shanghai URT line 9. The results of this example show that the proposed model is capable of reducing the waiting time of passengers and the number of buses used by 3.2% and 24.7%, compared with the traditional bus bridging service. Further analysis of the example shows that it is not a cost-effective solution to reserve a large number of buses for URT disruption. Decision-makers should comprehensively trade off between passengers’ space-time demands and monetary costs of bus bridging service.

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Section: Literature Reviewmentioning

confidence: 99%

An Optimization Approach considering Passengers’ Space-Time Requirements for Bus Bridging Service under URT Disruption

Shao

Song

2022

Journal of Advanced Transportation

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“…In other words, this constraint dictates the total number of evacuees that can be evacuated from station i to all temporary shelters at all time periods, which should be less than the entire population at station i. It is also worth noting that the capacity of vehicles is added to the right-hand side of the constraint to avoid leftover passengers when the passenger population is less than the capacity of the vehicle; Equation (12) implies that all vehicles must start from a station in each time window; Equation (13) restricts vehicles from starting their services from temporary shelters in the first time window; Equation 14defines the endpoint of vehicles in each time window; Equation (15) indicates that at the end of the final time window, vehicles can only finish their service at the designated temporary shelter; Equation (16) guarantees the continuous flow of vehicles by starting their next service from the last finished point; Equation (17) ensures the flow of the network is maintained within each time window, i.e., for each vehicle, the quantity that arrives at a node must be equal to the quantity that departs; Equation (18) guarantees that the number of times a vehicle travels from is an integer; the remaining Equations (19) and (20) specify the domain for binary variables.…”

Section: Mathematical Formulationmentioning

confidence: 99%

“…Establishing alternative means of transportation for passengers is among the main actions undertaken by authorities, including diversion of travelers to other rail lines and bridging stations using buses. Therefore, from the perspective of evacuation with buses at rail stations, many studies have focused on developing decision support systems for transferring stranded passengers, typically centered on the bus bridging problem [9][10][11][12]. That is, the design of temporary bus services and routes to restore connectivity between the disrupted parts of a rail transit network in the most optimal way.…”

Section: Introductionmentioning

confidence: 99%

Transit-Based Evacuation for Urban Rail Transit Line Emergency

Hou

Cao

Lv³

et al. 2020

Sustainability

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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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“…In the paper ''An approach for evaluating connectivity of interrupted rail networks with bus bridging services,'' 13 the authors proposed an analytical framework for evaluating, in the case of interrupted conditions, the effect of bus bridging services on the degree of connectivity of rail networks. The study used ratios of average travel time under various situations to assess the connectivity of interrupted rail transit.…”

Section: Swarm Intelligence In Transportation Engineeringmentioning

confidence: 99%