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Title:

Utility-Based Estimation of Probabilistic Port Hinterland for Networks of Intermodal Freight Transportation

Accession Number:

01157173

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/Freight..._Modeling_Planning_and_Logis_164468.aspx

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Order URL: http://worldcat.org/isbn/9780309160377

Abstract:

The inland area served by a particular port is known as the port hinterland. The probability—within a certain range [α1, α2], where parameters α1, α2 Ε [0, 1]—that shippers will use that port to transport containers to a given destination is referred to as the port’s probabilistic hinterland. The probabilistic port hinterland is a key performance index that reflects the attractiveness and competitiveness of a port, which is determined by a shipper’s decision of whether to choose a route passing through the port. The random utility of an intermodal route is defined as a summation of transportation cost and transport time multiplied by the value of time (VOT) perceived by shippers. The random transshipment time per container incurred at a transfer terminal on an intermodal route is then derived by modeling the transshipment process as an M[X]/G/1 queue due to containers arriving in batches. According to the utility maximization principle for shippers faced with intermodal route choice, a mathematical expression of the utility-based probabilistic port hinterland is presented. An algorithm based on Monte Carlo simulation is proposed for finding the probabilistic port hinterland. A case study is performed to estimate the probabilistic hinterland of the port of Shanghai, China, and to analyze the impact of the handling capacity at the Shanghai port and VOT on the port hinterland.

Monograph Accession #:

01226710

Report/Paper Numbers:

10-1045

Language:

English

Authors:

Meng, Qiang
Wang, Xinchang

Pagination:

pp 53-62

Publication Date:

2010

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2168
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309160377

Media Type:

Print

Features:

Figures (4) ; References (28) ; Tables (2)

Geographic Terms:

Shanghai (China)

Subject Areas:

Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Jan 25 2010 10:28AM

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