A Pareto-improving hybrid rationing and pricing policy with multiclass network equilibria. Issue 2 (17th February 2018)

• Record Type: Journal Article
• Authors: Chu, Zhaoming; Chen, Hui; Cheng, Lin; Zhu, Senlai; Sun, Chao
• Is Part Of: Transportation planning and technology. Volume 41:Issue 2(2018)
• Page Start: 211
• Page End: 228
• Publication Date: 2018-02-17
• Subjects: Pareto improvement -- hybrid policy -- rationing -- congestion pricing -- multiclass users -- value of time; Transportation -- Periodicals; Transportation -- Research -- Periodicals; Local transit -- Periodicals; Transportation and state -- Periodicals; 388
• DOI: 10.1080/03081060.2018.1407530
• Languages: English
• ISSNs: 0308-1060

Abstract

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.