1. A Pareto-improving hybrid rationing and pricing policy with multiclass network equilibria.
- Author
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Zhaoming Chu, Hui Chen, Lin Cheng, Senlai Zhu, and Chao Sun
- Subjects
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GOVERNMENT pricing policy , *PARETO analysis , *MATHEMATICAL programming , *TRAFFIC congestion , *DIRECT costing , *PUBLIC welfare - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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