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Title:

Developing a Methodological Framework to Understand Freight Forwarders Time-of-Day Choice Decision-Making Framework: A Greek Case Study

Accession Number:

01555562

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

The general aim of this paper is to develop a methodological framework intending to understand the decision-making framework of Freight Forwarders (FFs) regarding arrival time-of-day at a seaport terminal to pick-up an import container. Container terminals are regarded as a key element of logistics chains since they are a link between sea and the hinterland transportation modes. Workload forecasting is essential when it comes to truck arrivals for the avoidance of bottlenecks and the smooth integration of container terminals in the supply chain. Up to now, only simulation models have been developed to predict the time-of-day arrival of trucks in terminals. This research proposes the development of a behavioral framework that incorporates the various factors affecting the time-of-day choice. In order to identify these factors a pilot study was conducted involving Greek FFs. The suggested methodology will require the estimation of a hybrid model system consisting of a discrete choice model and a latent variable model. The developments of such predictive tools are expected to enhance decision and policy making at a terminal, supply chain and national level.

Supplemental Notes:

This paper was sponsored by TRB committee AT050 Intermodal Freight Terminal Design and Operations.

Monograph Accession #:

01550057

Report/Paper Numbers:

15-5354

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Kourounioti, Ioanna
Polydoropoulou, Amalia

Pagination:

13p

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; Tables

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Freight Transportation; Operations and Traffic Management; Planning and Forecasting; Terminals and Facilities; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-5354

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 1:48PM