Disruption Recovery for Urban Public Tram System: An Analysis of Replacement Service Selection

Fang, Yan; Jiang, Yiping; Wei, Fei

doi:10.1109/access.2020.2972445

Cited by 6 publications

(5 citation statements)

References 26 publications

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“…Zeng, Durach, and Fang 2012;Neves-Silva 2013) or for Mobility-on-Demand fleets to provide coverage during disrupted service (e.g. Tyndall 2019;Yang and Chen 2019;Fang, Jiang, and Fei 2020;Cebecauer et al 2021). Table 1 presents various methods of service capacity sharing that have been proposed in the literature.…”

Section: Disaster Planning Methodsmentioning

confidence: 99%

Mobility operator service capacity sharing contract design to risk-pool against network disruptions

Pantelidis

Chow

Cats

2023

Transportmetrica A: Transport Science

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We propose a new mechanism to design risk-pooling contracts between operators to improve service resilience during disruptions. We formulate a novel two-stage stochastic multicommodity flow model to determine the cost savings of a coalition under different disruption scenarios and solve it using L-shaped method along with sample average approximation. Computational tests are conducted for network instances with up to 1024 scenarios. The proposed model is applied to a regional multi-operator network in the Randstad area of the Netherlands, for four operators, 40 origin-destination pairs, and over 1400 links where disruption data is available. Using the proposed method, we identify stable cost allocations that could yield a 66% improvement in overall network performance over not having any risk-pooling contract in place. We illustrate the sensitivity of the HTM operator's bargaining power to different network structures and disruption scenarios.

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Section: Disaster Planning Methodsmentioning

confidence: 99%

Mobility operator service capacity sharing contract design to risk-pool against network disruptions

Pantelidis

Chow

Cats

2023

Transportmetrica A: Transport Science

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“…It should be noted that beyond buses the use of taxis for bridging purposes also serves as an option (Fang and Jiang 2019 ; Fang et al. 2020 ). Asking for a collaboration effort with a taxi company to account for short-term tram disruptions is described in Zeng et al.…”

Section: Problem Settingsmentioning

confidence: 99%

Robustness and disturbances in public transport

Voß

Xie

2022

Public Transp

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Network-based systems are at the core of our everyday life. Whether it is electronic networking, electricity grids or transportation, users expect the networks to function properly and provide a feeling of safety and security. However, there may be disturbances. In this paper, we consider disturbances in the context of public transportation. The focus in this respect is on public transport planning and operations. To classify and cope with disturbances, one can find many ideas, including robustness, resilience, vulnerability, disruption mitigation or delay management. We survey related streams of literature and put them into perspective. As a major insight we show that different strands of literature exist that may benefit from becoming better connected and intertwined. Together with recent advances in information technology and solution methods, more integrated problem settings incorporating robustness and disturbances can play a major role in future planning and operations.

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“…However, it must be remembered that tram networks are very sensitive to failures or closures of parts of the network. Therefore, it is necessary to develop an optimal scenario for handling the organization of replacement transport [33]. Tram priority also influences travel time and its dispersion.…”

Section: Literature Reviewmentioning

confidence: 99%

Traffic Light Priority for Trams in Warsaw as a Tool for Transport Policy and Reduction of Energy Consumption

et al. 2021

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The article presents an analysis of priority solutions for trams at a selected sequence of intersections in Warsaw (Poland). An analysis of the literature has shown the topicality of this issue. A computer simulation model of a coordinated sequence of intersections was constructed. Three test scenarios were designed: the existing control system, the new coordinated fixed-time control system, and the adaptive control system with active priority. In the simulation process, detailed travel characteristics of trams and other traffic participants in a selected section were obtained for the three varying scenarios. Electric energy consumption for traction needs and pollutant emissions was then estimated for each of the variants. It was concluded that for the analyzed configuration, implementation of the adaptive priority will result in a reduction of tram time losses by up to 25%, a reduction in energy consumption by up to 23%, and a reduction in the emission of pollutants from individual vehicles by up to 3% in relation to the original variant. The conducted research may be the basis for a comprehensive method of assessing the effectiveness of applying the adaptative priority when designing new tramway lines and modernizing the existing ones.

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Disruption Recovery for Urban Public Tram System: An Analysis of Replacement Service Selection

Cited by 6 publications

References 26 publications

Mobility operator service capacity sharing contract design to risk-pool against network disruptions

Mobility operator service capacity sharing contract design to risk-pool against network disruptions

Robustness and disturbances in public transport

Traffic Light Priority for Trams in Warsaw as a Tool for Transport Policy and Reduction of Energy Consumption

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