TRB Pubsindex
Text Size:

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 Accession #:

01618707

Report/Paper Numbers:

17-06852

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Li, Xun
Rey, David
Dixit, Vinayak V

Pagination:

17p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

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