Welcome to ROSA P | Estimating statewide truck trips using commodity flows and input-output coefficients - 4685 | BTS Products | BTS Data Directory
Stacks Logo
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.
 
 
Help
Clear All Simple Search
Advanced Search
Estimating statewide truck trips using commodity flows and input-output coefficients
  • Published Date:
    2000-04-01
  • Language:
    English
Filetype[PDF-62.86 KB]


Details:
  • Resource Type:
  • Geographical Coverage:
  • TRIS Online Accession Number:
    00794288
  • OCLC Number:
    44190510
  • ISSN:
    10948848
  • NTL Classification:
    NTL-FREIGHT-Trucking Industry ; NTL-PLANNING AND POLICY-Surveys ; AGR-COMMODITIES-Commodity Flow
  • Format:
  • Abstract:
    This study uses commodity flows from the 1993 Commodity Flow Survey (CFS) together with Input-Output (I-O) coefficients to generate truck

    flows for the state of Wisconsin. Production and attraction rates in tons, for the heavy truck mode only, were derived at the county level using employment for 28 economic sectors. The CFS, a joint product of the Bureau of Transportation Statistics and the U.S. Bureau of the Census, together with a private database developed for the state, TRANSEARCH, was used to derive the trip production rates. Economic-based I-O software was used to derive the I-O coefficients at the state level in order to develop trip attraction rates.

    Annual tons at the county level were converted to daily truck trips using an average tons-per-vehicle load and a days-per-year factor. The resulting trips were disaggregated to the Traffic Analysis Zone

    (TAZ) level using zonal population as a disaggregation factor. Truck trips for four trip types were derived: Internal-to-Internal, Internal-to-External, External-to-Internal, and External-to-External to the state. In order to assess the accuracy of the generation procedure, another more comprehensive study distributed and assigned the estimated trips to the state network following the traditional four-stage Urban Transportation Planning modeling process. The results of comparing the estimated truck flows to ground counts for selected network links show that the overall model performed well, indicating that the generation procedure produced a reasonable estimation of statewide truck trips.

  • Main Document Checksum:
  • Supporting Files:
    No Additional Files
No Related Documents.
You May Also Like:
Submit Feedback >