A cooperative game approach to cost allocation in a rapid-transit network

Rosenthal, Edward C.

doi:10.1016/j.trb.2016.11.014

Cited by 33 publications

(11 citation statements)

References 23 publications

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“…Sasaki (2014) also did similar research on the optimal choices of a fare collection system considering the game-theoretical interactions between the transit agency and passengers. Other topics related to transportation network include the network design (Lin & Lee, 2010;Laporte et al, 2010), the cost allocation (Rosenthal, 2017), traffic-response signal control (Ruth et al, 2015), the role of privately owned road system in road network (Sofia, 2012) and green transportation (Bae et al, 2011).…”

Section: Game Theory Applications In Transportationmentioning

confidence: 99%

A risk-based game model for rational inspections in port state control

Yang

Yin

et al. 2018

Transportation Research Part E: Logistics and Transportation Re

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Section: Game Theory Applications In Transportationmentioning

confidence: 99%

A risk-based game model for rational inspections in port state control

Yang

Yin

et al. 2018

Transportation Research Part E: Logistics and Transportation Re

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“…Lv et al [41] studied a collaborative reverse logistics network, and proposed a vehicle sharing model used in case of pickup and delivery requests. Rosenthal [42] introduced the equivalent cost sharing solution method and proved that the cost allocation strategy has a non-empty core and is located at the core of the game. Wu et al [43] designed a mathematical model for a fair distribution of profits, and concluded that the proposed method could contribute to both collective and personal profits.…”

Section: Literature Reviewmentioning

confidence: 99%

Implementation of Cooperation for Recycling Vehicle Routing Optimization in Two-Echelon Reverse Logistics Networks

et al. 2018

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The formation of a cooperative alliance is an effective means of approaching the vehicle routing optimization in two-echelon reverse logistics networks. Cooperative mechanisms can contribute to avoiding the inefficient assignment of resources for the recycling logistics operations and reducing long distance transportation. With regard to the relatively low performance of waste collection, this paper proposes a three-phase methodology to properly address the corresponding vehicle routing problem on two echelons. First, a bi-objective programming model is established to minimize the total cost and the number of vehicles considering semitrailers and vehicles sharing. Furthermore, the Clarke-Wright (CW) savings method and the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) are combined to design a hybrid routing optimization heuristic, which is denoted CW_NSGA-II. Routes on the first and second echelons are obtained on the basis of sub-optimal solutions provided by CW algorithm. Compared to other intelligent algorithms, CW_NSGA-II reduces the complexity of the multi-objective solutions search and mostly converges to optimality. The profit generated by cooperation among retail stores and the recycling hub in the reverse logistics network is fairly and reasonably distributed to the participants by applying the Minimum Costs-Remaining Savings (MCRS) method. Finally, an empirical study in Chengdu City, China, reveals the superiority of CW_NSGA over the multi-objective particle swarm optimization and the multi objective genetic algorithms in terms of solutions quality and convergence. Meanwhile, the comparison of MCRS method with the Shapley value model, equal profit method and cost gap allocation proves that MCRS method is more conducive to the stability of the cooperative alliance. In general, the implementation of cooperation in the optimization of the reverse logistics network effectively leads to the sustainable development of urban and suburban areas. Through the reasonable reorganization of the entire network, recycling companies can provide more reliable services, contribute to the reduction of environmental pollution, and guarantee significant profits. Thus, this paper provides manufacturing companies, logistics operators and local governments with tools to protect the environment, while still making profits.

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“…Game theory considers the predicted and actual behaviors of individuals in the game and studies their optimization strategies. It is used in traditional traffic revenue distribution [ 11 , 12 , 13 ], and has made achievements in emerging research areas such as internet of vehicles control strategies [ 14 ], path optimization [ 15 ], and system evaluation [ 16 ]. Some studies have also accomplished certain achievements by using game theory in the field of low-carbon transportation [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Chaos Analysis of Urban Low-Carbon Traffic Based on Game Theory

Ren

2021

IJERPH

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Developing urban low-carbon traffic is an effective measure to reduce traffic carbon emissions, which are important parts of greenhouse gas. In order to understand the development characteristics and regular patterns of urban low-carbon traffic, we present a game model that enables us to predict the possible range of travel mode choice and the impact of low-carbon awareness. Through chaos analysis and simulation of the model, the authors come to realize that the proportions of travel mode choice can reach an equilibrium under a certain urban traffic system. This equilibrium is related to low-carbon awareness and the situation of the urban traffic system. The research we have done suggests that in small cities with undeveloped traffic systems, the most effective measure to achieve urban low-carbon traffic is to increase the comprehensive costs of high-carbon travel. However, in big cities with developed traffic systems, raising low-carbon awareness of residents can greatly increase the proportion of low-carbon travelers and improve the stability of travel mode choice. The results could provide development strategies and policy suggestions for urban low-carbon traffic and reduce the adverse impact of urban traffic emissions on public health.

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A cooperative game approach to cost allocation in a rapid-transit network

Cited by 33 publications

References 23 publications

A risk-based game model for rational inspections in port state control

A risk-based game model for rational inspections in port state control

Implementation of Cooperation for Recycling Vehicle Routing Optimization in Two-Echelon Reverse Logistics Networks

Chaos Analysis of Urban Low-Carbon Traffic Based on Game Theory

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