A Pareto-improving hybrid rationing and pricing policy with multiclass network equilibria |
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| Authors: | Zhaoming Chu Hui Chen Lin Cheng Senlai Zhu Chao Sun |
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| Affiliation: | 1. Road Traffic Safety Research Center of the Ministry of Public Security, Beijing, People’s Republic of China;2. College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, People’s Republic of China;3. Department of Basic Industries, National Development and Reform Commission, Beijing, People’s Republic of China;4. School of Transportation, Southeast University, Nanjing, People’s Republic of China;5. School of Transportation, Nantong University, Nantong, People’s Republic of China |
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| 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. |
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| Keywords: | Pareto improvement hybrid policy rationing congestion pricing multiclass users value of time |
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