An Optimization Decision Model of Urban Public Transit Fare Structures

This paper investigates and compares several transit fare structures including flat fare, station-based, and mileage-based fare. For each fare structure, there exists an optimal fare pattern inducing to the highest total social benefit and total net profit. A bi-level model is then proposed to determine the optimal fare pattern. The upper-level problem intends to address the maximization of total social benefit from the perspective of transportation authority and the maximization of profit of transit authority, whereas the lower-level problem is a path-based stochastic transit assignment problem with elastic demand. A modified genetic algorithm is adopted to solve the bi-level model. A numerical example of a 9-node transit network is provided to illustrate that differentiated fare structures and have a better financial performance than flat fare.

Record URL:
Availability:
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Supplemental Notes:
- © 2016 American Society of Civil Engineers.
Corporate Authors:
American Society of Civil Engineers

1801 Alexander Bell Drive
Reston, VA United States 20191-4400
Authors:
- Huang, Di
- Liu, Zhiyuan
- Hua, Dongsheng
Conference:
- 16th COTA International Conference of Transportation Professionals
- Location: Shanghai , China
- Date: 2016-6-6 to 2016-6-9
Publication Date: 2016

Language

English

Media Info

Media Type: Web
Features: References;
Pagination: pp 658-669
Monograph Title: CICTP 2016: Green and Multimodal Transportation and Logistics

Subject/Index Terms

TRT Terms: Fares; Genetic algorithms; Optimization; Public transit; Urban transit
Subject Areas: Finance; Operations and Traffic Management; Public Transportation;

Filing Info

Accession Number: 01606618
Record Type: Publication
ISBN: 9780784479896
Files: TRIS, ASCE
Created Date: Jun 29 2016 3:04PM