Bus Bridging Disruption in Rail Services With Frustrated and Impatient Passengers

Wang, Yibing; Guo, Jingqiu; Currie, Graham; Ceder, Avishai; Dong, Wei; Pender, Brendan Michael

doi:10.1109/tits.2014.2307859

Cited by 38 publications

(17 citation statements)

References 9 publications

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“…Hadas and Shnaiderman (2012) were among the first to consider extra waiting time when passengers fail to board. More recently, Wang et al (2014) considered the effect of queues on passenger patience. Another interesting model considers limiting boarding (Delgado et al, 2012) in order to regulate the service and prevent bunching.…”

Section: Introductionmentioning

confidence: 99%

Determining optimal frequency and vehicle capacity for public transit routes: A generalized newsvendor model

Herbon

Hadas

2015

Transportation Research Part B: Methodological

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Section: Introductionmentioning

confidence: 99%

Determining optimal frequency and vehicle capacity for public transit routes: A generalized newsvendor model

Herbon

Hadas

2015

Transportation Research Part B: Methodological

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“…Although dynamic passenger demand was taken into account with a rolling horizon approach, the essence is taking static passenger flows at the end of each rolling period as the input of the proposed model. Some other researchers studied travel behavior of passengers and travel demand after disruptions, which could provide references for this study [18][19][20]. For example, Wang et al [18] studied the demand modelling of affected passengers and formulated it as a bulk queuing problem with the theory of stochastic process.…”

Section: Journal Of Advanced Transportationmentioning

confidence: 99%

“…Some other researchers studied travel behavior of passengers and travel demand after disruptions, which could provide references for this study [18][19][20]. For example, Wang et al [18] studied the demand modelling of affected passengers and formulated it as a bulk queuing problem with the theory of stochastic process. The results showed the bridging demand continued for hours.…”

Section: Journal Of Advanced Transportationmentioning

confidence: 99%

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Optimization of Bus Bridging Service under Unexpected Metro Disruptions with Dynamic Passenger Flows

Wang

Yuan

Yin

2019

Journal of Advanced Transportation

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A metro disruption is a situation where metro service is suspended for some time due to unexpected events such as equipment failure and extreme weather. Metro disruptions reduce the level of service of metro systems and leave numerous passengers stranded at disrupted stations. As a means of disruption management, bus bridging has been widely used to evacuate stranded passengers. This paper focuses on the bus bridging problem under operational disruptions on a single metro line. Unlike previous studies, we consider dynamic passenger flows during the disruption. A multi-objective optimization model is established with objectives to minimize total waiting time, the number of stranded passengers and dispatched vehicles with constraints such as fleet size and vehicle capacity. The NSGA-II algorithm is used for the solution. Finally, we apply the proposed model to Shanghai Metro to access the effectiveness of our approaches in comparison with the current bridging strategy. Sensitivity analysis of the bus fleet size involved in the bus bridging problem was conducted.

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“…Kepaptsoglou and Karlaftis [19] firstly proposed a methodological framework for planning and designing an efficient bus-bridging network. Wang et al [20] explored the demand modeling problem for busbridging disruption in metro services based on the theory of compound Poisson processes and formulated it as a bulk queuing problem involving balking and reneging. Jin et al [21] introduced a localized metro-bus integration approach that aimed at enhancing the urban transit networks resilience to disruption.…”

Section: Introductionmentioning

confidence: 99%

Optimal Bus-Bridging Service under a Metro Station Disruption

Yin

Sun

et al. 2018

Journal of Advanced Transportation

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A station disruption is an abnormal operational situation that the entrance or exit gates of a metro station have to be closed for a certain of time due to an unexpected incident. The passengers' travel behavioral responses to the alternative station disruption scenarios and the corresponding controlling strategies are complex and hard to capture. This can lead to the hardness of estimating the changes of the network-wide passenger demand, which is the basis of carrying out a response plan. This paper will establish a model to solve the metro station disruption problem by providing optimal additional bus-bridging services. Two main contributions are made: (1) a three-layer discrete choice behavior model is developed to analyze the dynamic passenger flow demand under station disruption; and (2) an integrated algorithm is designed to manage and control the station disruption crisis by providing additional bus-bridging services with the objective of minimizing the total travel time of affected passengers and the operating cost of bridging-buses. Besides, the multimodal transport modes, including metro, bridging-bus, shared-bike, and taxi, are considered as passengers' alternative choices in face of the station disruption. A numerical study based on the Beijing metro network shows that additional bus-bridging services can significantly eliminate the negative impact of the station disruption.

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Bus Bridging Disruption in Rail Services With Frustrated and Impatient Passengers

Cited by 38 publications

References 9 publications

Determining optimal frequency and vehicle capacity for public transit routes: A generalized newsvendor model

Determining optimal frequency and vehicle capacity for public transit routes: A generalized newsvendor model

Optimization of Bus Bridging Service under Unexpected Metro Disruptions with Dynamic Passenger Flows

Optimal Bus-Bridging Service under a Metro Station Disruption

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