2012Transportation research circularRequires access

Supply Chain Information for Public-Sector Freight Transportation Planning and Performance Management

Ed Strocko, Alison Conway

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Abstract

Freight transportation planning requires good data to make good decisions. Freight-related data are collected and analyzed to identify and understand goods movement, economic and transportation patterns along with needs, opportunities, deficiencies, and alternative courses of actions. Although there are many sources of freight information, virtually all current sources are mode specific and have limitations for freight transportation planning. The supply chain perspective provides the potential to bridge limitations in existing data and broaden the understanding of how goods move in a variety of planning applications.

About this research paper

What this paper is about

Freight transportation planning requires good data to make good decisions. Freight-related data are collected and analyzed to identify and understand goods movement, economic and transportation patterns along with needs, opportunities, deficiencies, and alternative courses of actions. Although there are many sources of freight information, virtually all current sources are mode specific and have limitations for freight transportation planning. The supply chain perspective provides the potential to bridge limitations in existing data and broaden the understanding of how goods move in a variety of planning applications.

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Available abstract

Freight transportation planning requires good data to make good decisions. Freight-related data are collected and analyzed to identify and understand goods movement, economic and transportation patterns along with needs, opportunities, deficiencies, and alternative courses of actions. Although there are many sources of freight information, virtually all current sources are mode specific and have limitations for freight transportation planning. The supply chain perspective provides the potential to bridge limitations in existing data and broaden the understanding of how goods move in a variety of planning applications.

Key concepts: Traffic management, Supply chain, Variety (cybernetics), Transportation planning, Transport engineering, Business, Bridge (graph theory), Supply chain management

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