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

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.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Kourounioti, Ioanna
    • Polydoropoulou, Amalia
  • Conference:
  • Date: 2015

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 13p
  • Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01555562
  • Record Type: Publication
  • Report/Paper Numbers: 15-5354
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 27 2015 10:04AM