A Pareto-improving hybrid rationing and pricing policy with multiclass network equilibria

Zhaoming Chu, Hui Chen, Lin Cheng, Senlai Zhu and Chao Sun

Transportation Planning and Technology, 2018, vol. 41, issue 2, 211-228

Abstract: This 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.

Date: 2018
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DOI: 10.1080/03081060.2018.1407530

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