Behavioral/Agent-Based Supply Chain Modeling Research Synthesis: Data Challenges

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Behavioral/Agent-Based Supply Chain Modeling Research Synthesis: Data Challenges

2018-02-13
By United States. Department of Transportation. Federal Highway Administration

File Language:

English

Details

Corporate Creators:

United States. Department of Transportation. Federal Highway Administration
Contributor:

Shabani, Kaveh ; Outwater, Maren L. ; Smith, Colin ; Purdy, Jeffrey
Corporate Contributors:

Second Strategic Highway Research Program (SHRP2)
Subject/TRT Terms:
Resource Type:

Brief
Right Statement:

Public Domain
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Federal Highway Administration
Description:

Acquiring the data and finding the resources required to support a behavioral supply chain model is often challenging, given the privacy and confidentiality issues surrounding supply chain data. Many data sources exist for estimating, calibrating, validating, and forecasting a freight modeling system. Advanced freight travel demand modeling in the United States use publicly available data sources to model freight movements such as the Freight Analysis Framework (FAF)1. Publicly available data sources are often sufficient for applying the behavioral supply chain models, but not for development, calibration or validation, where additional data sources are needed.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/94040/dot_94040_DS1.pdf
File Type:

[PDF - 1.06 MB]
Collection(s):

Federal Highway Administration
Main Document Checksum:

urn:sha-512:383909ce0b102cbbd03476d11ef6bc42f3d7f2a8c51daf8e22bc0600091398bb28506bd13263d00cf9cf7a5fe8198f428132c12a698e02046173e8d2efa4f24d

File Language:

English

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