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• W2768462108 abstract "ABSTRACTThis paper extends the work on Pareto-improving hybrid rationing and pricing policy for general road networks by considering heterogeneous users with different values of time. Mathematical programming models are proposed to find a multiclass Pareto-improving pure road space rationing scheme (MPI-PR) and multiclass hybrid rationing and pricing schemes (MHPI and MHPI-S). A numerical example with a multimodal network is provided for comparing both the efficiency and equity of the three proposed policies. We discover that MHPI-S can achieve the largest reduction in total system delay, MHPI can induce the least spatial inequity and MHPI-S is a progressive policy which is appealing to policy makers. Furthermore, numerical results reveal that different classes of users react differently to the same hybrid policies and multiclass Pareto-improving hybrid schemes yield less delay reduction when compared to their single-class counterparts." @default.
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• W2768462108 date "2017-11-27" @default.
• W2768462108 modified "2023-10-14" @default.
• W2768462108 title "A Pareto-improving hybrid rationing and pricing policy with multiclass network equilibria" @default.
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• W2768462108 doi "https://doi.org/10.1080/03081060.2018.1407530" @default.
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