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Title:

Capacity Allocation in Vertically Integrated Railway Systems: A Rubinstein Sequential Bargaining Game Approach

Accession Number:

01557503

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

The present paper proposes, for the first time, a game-theoretic bargaining based approach to allocating rail line capacity in the vertically integrated US rail system. A passenger rail agency (PRA) negotiates with a freight railroad to obtain appropriate train paths. This market has specific features: FRR charges PRA a fee for access to the railroad; on the other hand, FRR compensates PRA for delayed services. In addition, by US Public Law passenger trains have priority over all freight trains. Passenger demand is elastic with respect to the service schedule convenience. With these features explicitly taken into account, a multi-step, game-theoretic bargaining model is put forward. The authors analytically solve this game and show that a schedule that maximizes the sum of utilities of PRA and FRR is the efficient one. They derive the equation yielding the net internal transfer between the two entities, and show that which player initiating the bargaining game does not change the equilibrium schedule, but alters the net internal transfer.

Supplemental Notes:

This paper was sponsored by TRB committee AR040 Freight Rail Transportation.

Monograph Accession #:

01550057

Report/Paper Numbers:

15-5160

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Talebian, Ahmadreza
Zou, Bo

Pagination:

17p

Publication Date:

2015

Conference:

Transportation Research Board 94th Annual Meeting

Location: Washington DC, United States
Date: 2015-1-11 to 2015-1-15
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Uncontrolled Terms:

Subject Areas:

Operations and Traffic Management; Planning and Forecasting; Railroads; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-5160

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 1:44PM