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Relational Multimodal Freight Database Webinar

File Language:
English


Details

  • Corporate Creators:
    University of Texas at Austin. Center for Transportation Research
  • Subject/TRT Terms:
  • Publication/ Report Number:
    5-6297-01-P1
  • Resource Type:
    Proceedings
  • Geographical Coverage:
    Texas
  • Corporate Publisher:
    University of Texas at Austin. Center for Transportation Research
  • Abstract:
    The relational Multimodal Freight Database (MFD) was developed as part of Texas Department ; of Transportation (TxDOT) Research Project 0-6297 entitled Freight Planning Factors Impacting ; Texas Commodity Flows, conducted by the Center for Transportation Research (CTR). The ; objective was to capture relevant publicly available freight data required for updating TxDOT ; freight models and studies. Implementation Project 5-6297-01, entitled Multimodal Freight ; Database, extends the work that has been conducted as part of TxDOT Research Project 0-6297. ; Specifically, the objectives of Implementation Project 5-6297-01 are to disseminate information ; about the MFD by hosting six workshops (Task 1), host a webinar to demonstrate the MFD to ; selected FHWA (Federal Highway Administration) freight leaders (Task 2), and update the MFD ; given the feedback received during Tasks 1 and 2. ; This document summarizes the outcome of Task 2: Conduct Multimodal Freight Database ; Webinar. The objective of Task 2 was to demonstrate the MFD to FHWA freight leaders and ; TxDOT Division staff to gain support for the development of a national database and to discuss ; the integration of proprietary data into the existing MFD. The webinar was hosted by Mr. Kirk ; Fauver (Statewide Planning Engineer, FHWA) and Ms. Jolanda Prozzi (Assistant Director, CTR). ; The webinar was conducted using Adobe Connect on December 8, 2011 from 1:00 to 2:30 p.m. ; (CST).
  • Format:
    PDF
  • Download URL:
    https://rosap.ntl.bts.gov/view/dot/24775/dot_24775_DS1.pdf
  • File Type:
    Filetype[PDF - 128.16 KB]
  • Collection(s):
    US Transportation Collection
  • Main Document Checksum:
    urn:sha256:fea4b5a2d9b084700f704382dbf912edfc15a0616b18a83e4e7e184c60a90dfb
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