2021
DOI: 10.1016/j.trb.2021.09.002
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A game theoretic approach to sustainable freight transportation: Competition between road and intermodal road–rail systems with government intervention

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Cited by 34 publications
(16 citation statements)
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“…Therefore, the criterion of support through national / international regulations, transport policy becomes important. In order to achieve this qualitatively, and intergovernmental regulatory mechanisms, which have a direct impact on the effectiveness of intermodality itself, are important (Tamannaei et al, 2021). Optimizing models are used to assess this type of regulation, which not only offer intermodality options but also estimate the subsidies applied by individual countries (Hu et al, 2022).…”
Section: Criteriamentioning
confidence: 99%
“…Therefore, the criterion of support through national / international regulations, transport policy becomes important. In order to achieve this qualitatively, and intergovernmental regulatory mechanisms, which have a direct impact on the effectiveness of intermodality itself, are important (Tamannaei et al, 2021). Optimizing models are used to assess this type of regulation, which not only offer intermodality options but also estimate the subsidies applied by individual countries (Hu et al, 2022).…”
Section: Criteriamentioning
confidence: 99%
“…Authors such as [31] used a non-cooperative tripartite evolutionary game to simulate the dynamic strategic interactions among local governments, polluters, and the public to participate in governance, a new design of public participation mechanism is proposed to achieve cooperative evolutionary equilibrium. Among them, is cross-regional carbon emission governance, in which the central government plays an important regulatory role [32,33], and the government's reward and punishment decisions affect regional competition [34][35][36]. Few studies have been conducted to answer the question of how the inter-regional mitigation of transportation improves the level of emission management and how different strategies affect the level of transportation emission reduction.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Constraint (18) prohibits the direct transport between non-hub nodes. Constraints (19) and (20) are attribute statements for binary decision variables.…”
Section: G = (N A)mentioning
confidence: 99%
“…Establishing more hubs enables the MHSNWD model to find less risky routes by providing more candidate paths. For instance, when h = 2, only two hubs (8 and 20) are selected and the flow between any pair of OD nodes travels through arc (8,20) by rail. Since there are only two hubs in the network, no detour route between hubs is available.…”
Section: Without Cost-budget Limitmentioning
confidence: 99%
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