|
Title: An Axiomatic Comparison Between Types of Fairness in Transport Networks
Accession Number: 01623367
Record Type: Component
Abstract: This paper considers the problem of revenue allocation in transport networks. The aim of the revenue allocation procedure is to divide the revenue obtained from tolling to the network users. In this work, the authors study the revenue allocation from the perspective of fairness with regards to network users. This is an important aspect of congestion pricing policies since fairness is critical to increase the acceptability of tolling schemes. In particular, they examine revenue allocation procedures in the light of the impact of traffic conditions onto users’ trips. Three types of fair revenue allocation policies are considered: opportunity fairness, proportional fairness, and market fairness. The comparison between these fair revenue allocation policies contains two parts: an axiomatic verification in the context of transport networks and an empirical evaluation conducted using Winnipeg’s downtown network. The results reveal that the method of market fairness is the most axiomatically restricted, and that it is correlated to proportional fairness allocation, while opportunity fairness requires the lowest level of information and computational resources.
Supplemental Notes: This paper was sponsored by TRB committee ABE70 Standing Committee on Women's Issues in Transportation.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-06852
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Li, XunRey, DavidDixit, Vinayak VPagination: 17p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Finance; Highways; Operations and Traffic Management
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-06852
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 12:49PM
|