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Title:

An Integrated Planning/Pricing Decision Model for Rail Container Transportation

Accession Number:

01697307

Record Type:

Component

Abstract:

The profit of rail operators is related to the pricing policy and the operation planning. The operator’s pricing policy affects the demand, and the demand is directly related to the rail operator’s revenue. Bulk of researches tried to optimize the pricing or operation planning strategies separately. As in fact, these two factors are connected with each other. The isolated research on either of them cannot get the optimal profit. In this paper, a bi-level model is proposed, which integrate the pricing and the operation planning, to maximize the profit of rail operators. The lower layer is designed to minimize the customer’s generalized cost, and the top layer is developed to maximize the revenue of rail operators. Simultaneously, the competition from road container transportation is considered in this model. An algorithm based on sensitivity analysis method is designed to solve the bi-level model. Numerical experiments is designed to evaluate the proposed model. The results show that the authors' method can significantly improve the rail operator’s profit in the competition market.

Supplemental Notes:

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

Report/Paper Numbers:

19-05281

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Zhang, Xiaoqiang
Li, Lin

Pagination:

17p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References; Tables

Subject Areas:

Economics; Freight Transportation; Railroads

Source Data:

Transportation Research Board Annual Meeting 2019 Paper #19-05281

Files:

TRIS, TRB, ATRI

Created Date:

Dec 7 2018 9:23AM