Capacity allocation in vertically integrated rail systems: A bargaining approach

Talebian, Ahmadreza; Zou, Bo; Peivandi, Ahmad

doi:10.1016/j.trb.2017.12.001

Cited by 11 publications

(5 citation statements)

References 25 publications

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“…However, the author herself predicted that, even though this would result in lower transaction costs to TOCs, it would mean a discreet shift from the concept of on-track competition to the concept of off-track competition, which is a conclusion quite similar to that drawn by Affuso (2003). Gibson (2003) and Talebian et al (2018) also studied potential TP allocation mechanisms and their features. Apart from the administrative mechanism, the authors TP allocation mechanisms, namely the value-based mechanism and focused on the market-based mechanism, which, unlike the administrative mechanism, encourage train op-erators to use infrastructure efficiently.…”

Section: Literature Reviewmentioning

confidence: 91%

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Bridging the Gap Between Infrastructure Capacity Allocation and Market-Oriented Railway: An Algorithmic Approach

2019

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The European Commission initiated the process of liberalization and introducing competition in the European railway sector more than twenty-five years ago. Despite the liberalization of the railway sector, train paths are currently administratively allocated in all EU countries using the train service priority criterion, which may not treat all train operators equally. This is especially evident in those network sections where demand exceeds the available capacity. In these situations, economic theory suggests the implementation of a market-based mechanism for allocation of capacity, such as auctions. However, due to its incompatibilities with priority criteria in the process of the capacity allocation, it is necessary to develop a new procedure to support the implementation of an auction. In this paper, the proposed algorithm fills the technological gap between train timetable design and train operator requests. The new algorithm for decentralized capacity allocation is the result of a multidimensional approach, which encompasses setting new relations between train operators and the infrastructure manager, train timetable drafting and resolving the conflicting request. In addition, the algorithm provides a feasible solution ensuring equal treatment of train operators and efficient allocation, in order to foster the development of the competition in the European rail market.

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Section: Literature Reviewmentioning

confidence: 91%

“…The market-based mechanisms apply mostly to vertically separated systems, seeking to elicit prices that train operators are willing to pay for their desired TPs, at the same time taking into account congestion impact (Talebian et al 2018). One prominent form of market-based mechanisms is an auction 14 .…”

Section: Literature Reviewmentioning

confidence: 99%

Bridging the Gap Between Infrastructure Capacity Allocation and Market-Oriented Railway: An Algorithmic Approach

2019

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“…Talebian pointed out that the goal of passenger travel is to maximize utility. In addition, delay and other factors will lead to the reduction of passenger utility (Talebian, Zou & Peivandi, 2018).…”

Section: Research Statusmentioning

confidence: 99%

A study on the dynamic refund fee model of air tickets based on win-to-win mechanism

Zhao¹,

Deng²

2019

J. airl. airpt. manag.

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Purpose: To achieve the balancing of interests between airlines and passengers, the dynamic refund fee model is designed, which meets the interests of both airlines and passengers.Design/methodology/approach: In the study, the expectation utility function is constructed respectively for passengers and airlines, and the equilibrium point of the two is chosen to solve the passenger refund fee. Then, a dynamic refund fee model based on refund time and real-time sales revenue is proposed according to the actual operating conditions of the flight.Findings:The results show that refund fee is negatively related to three variables, the ticket price, the probability of ticket sales and the probability of refund. Besides, The maximum payment limit is the airline single seat cost or the actual fare paid below it, and the lowest can be exempt.Originality/value: A better standard of the rufund is proposed. The refund mode breaks the traditional static charging mode, and charges different refund fees to passengers for different refund time and the real time income of flights. Comparing with the current refund policy, the new charge of refund fee could best meets the interests of both parties.a refund fee standard.

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“…Although there has been vast research on passenger train scheduling, only a few researchers have considered freight train scheduling. As rail traffic in both passenger and freight trains on mixed-use rails is growing continuously Talebian et al [11], one branch of the research conducted in the literature focused on railway systems that both passenger and freight trains use. Godwin et al [12] addressed the problem of scheduling freight trains in a passenger rail network.…”

Section: Introductionmentioning

confidence: 99%

An Optimization Model for Scheduling Freight Trains on a Single Rail Track

Alaghband

Moghaddam

2020

Scientia Iranica

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In many countries, a rail network consists of single lines with sidings where interactions between trains occur (meet, pass). In this paper, we study two issues of these networks: first, the scheduling of freight trains in a single line corridor while ensuring safe interactions and second, the allocation of freight to freight trains regarding the release dates of freight, weight of freight, and weight capacity of the trains. Both of these issues must be addressed when examining real-world freight train scheduling problems. The objective functions of this study are the minimization of a train's travelling time, the allocation of freight to freight trains, and the reduction of tardiness of freight at destination. Both scheduling and allocation problems are presented using integer linear programming models. In addition, an integrated novel heuristic algorithm has been proposed to solve them. Computational results demonstrated through a generated dataset show both model validation and efficiency of the heuristic algorithm. The heuristic algorithm has been designed to incorporate the practical operational railway rules with modest modification. Although its outputs slightly differ from the exact solutions, it can solve both models simultaneously in large scale problems.

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Capacity allocation in vertically integrated rail systems: A bargaining approach

Cited by 11 publications

References 25 publications

Bridging the Gap Between Infrastructure Capacity Allocation and Market-Oriented Railway: An Algorithmic Approach

Bridging the Gap Between Infrastructure Capacity Allocation and Market-Oriented Railway: An Algorithmic Approach

A study on the dynamic refund fee model of air tickets based on win-to-win mechanism

An Optimization Model for Scheduling Freight Trains on a Single Rail Track

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