Bringing freight components into statewide and regional travel demand forecasting: part 1 : final report.

Details

• Creators:
  Lee, David Jung-Hwi ; Ross, Catherine L.
• Corporate Contributors:
  Georgia. Dept. of Transportation. Office of Research ; United States. Federal Highway Administration
• Subject/TRT Terms:
  Disaggregate Truck Demand Model Forecasting Freight Traffic Global Positioning System GPS Data Based Truck Model Methodology Metropolitan Planning Organizations Performance Measurement Tour-based Truck Model Travel Demand Truck Traffic

  More +
• Publication/ Report Number:
  FHWA-GA-16-1223 ; 12-23
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Alabama ; Georgia
• Corporate Publisher:
  Georgia. Dept. of Transportation. Office of Research
• Abstract:
  Transportation decision makers have the difficult task of investment decision making having limited resources while
  
  maximizing benefit to the transportation system. Given the growth in freight transport and its importance to national,
  
  state, and regional economies, public-sector agencies need improved capabilities to analyze freight movement. In
  
  general, freight modeling is not widely developed and operationalized, at the metropolitan planning organization
  
  (MPO) level in particular due to the complexity of freight movement and the lack of availability of detailed truck
  
  trip data. This study develops a methodological framework of a tour-based freight demand model at the MPO level
  
  using GPS truck data. Methodologically it is a more accurate model compared to trip based models allowing truck
  
  trips to be linked, which reflects how truck drivers and dispatchers often make multiple trips within a single ‘trip
  
  chain’ or ‘tour’. Disaggregate truck movement data can be obtained via truck global positioning system (GPS)
  
  records collected in this study by the American Transportation Research Institute (ATRI). The developed framework
  
  has been applied to two metropolitan areas in the southeast, one covering the region around Atlanta, Georgia, and
  
  the other around Birmingham, Alabama. The report illustrates, with examples, potential uses of the model with
  
  multiple performance measures and also shows possibilities of applying the model to corridor analyses, small
  
  geographic area analyses, and scenario planning. The report introduces performance measures to compare the results
  
  of the two classes of models namely, the tour-based and the trip-based models. The results of six scenarios of the
  
  Atlanta metropolitan area are presented and compared along with some important policy implications for practice.
  
  The numerical results demonstrate that GPS data is feasible for model calibration and that tour-based models
  
  provide conceptually robust forecasts that sustain empirical validation under multiple scenarios. Although the study
  
  focuses on the Atlanta Metropolitan area, policymakers at all levels of government in other state DOTs and MPOs
  
  can benefit from this study and develop their own truck demand model borrowing the framework used.
  
  
• Format:
  PDF
• Funding:
  0011746
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:6a80ec3720141e36afb07d34b9c7e6beb4ff0a0d9a33b7881b2b0d9d1894ce01
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/31153/dot_31153_DS1.pdf
• File Type:
  [PDF - 7.18 MB ]