Innovations in Freight Demand Modeling and Data Improvement (2014) / Chapter Skim
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From page 6... ...
CHAPTER 3 Relationship to C20 The SHRP 2 Second Symposium on Innovations in Freight Demand Modeling and Data (C43) follows in the footsteps of the C20 project, which resulted in the Freight Demand Modeling and Data Improvement Strategic Plan (2013)
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From page 7... ...
The three research initiatives that were most evident in the presentations were • Research Initiative C: Establish modeling approaches for behavior-based freight movement. Most presentations, with the exception of a few, showed developed models that went beyond the traditional four-step transportation model by utilizing other data to project how freight transportation providers utilized the transportation network.
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From page 8... ...
Very few models attempted to develop "what-if" scenarios, including factoring risk, into their research. As supply chains become more complex, and, as a result, potentially more susceptible to shocks to the system, this initiative will be increasingly important to manage how freight transportation is utilized when the network is not operating under optimized conditions.
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From page 9... ...
Table 3.1. SHRP 2 Second Symposium on Innovations in Freight Demand Modeling and Data Improvement: Speaker List SESSION 1: State DOT Freight Modeling A Creating a Supply-Chain Methodology for Freight Forecasting in Wisconsin Jennifer Murray, Wisconsin Department of Transportation B Rail Freight Commodity Models: A First Generation Effort in Iowa Phillip Mescher, Iowa State Department of Transportation SESSION 2: Regional/Urban Tour Modeling A Innovative Tour-Based Truck Travel Model Using Truck GPS Data Arun Kuppam, Cambridge Systematics Inc.
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From page 10... ...
SESSION 5: Freight Data Innovations A Exploratory Use of Raster Images for Freight Modeling Pedro Camargo, University of California, Irvine B Disaggregate State-Level Freight Data to County Level Ho-Ling Hwang, Oak Ridge National Laboratory C Statewide Freight Demand Modeling to Support Long-Range Transportation Planning in North Dakota EunSu Lee, North Dakota State University SESSION 6: Business Implications A On the Evaluation of Incentive Structures Fostering Off-Hour Deliveries Felipe Aros-Vera, Rensselaer Polytechnic Institute B Analyzing Future Freight Challenges in Maryland Using Freight Data Sources and the Maryland Statewide Transportation Model (MSTM) Subrat Mahapatra, Maryland Department of Transportation C Examining Carrier Transportation Characteristics along the Supply Chain Anne Goodchild, University of Washington 10
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From page 11... ...
C20 Research Initiatives ● – Primary Research Focus ○ – Secondary Research Focus C43 Symposium Research Category State DOT Freight Modeling Region/Urban Tour Modeling International Models Private Sector Supply Chain Freight Data Innovations Business Implications 1A 1B 2A 2B 2C 3A 3B 3C 4A 4B 5A 5B 5C 6A 6B 6C A: Determine the freight and logistics knowledge and skill requirements for transportation decision makers and professional and technical personnel. Develop the associated learning systems to address knowledge and skill deficits.
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From page 12... ...
Figure 3.1. C43 Symposium research focus relationship to C20 research initiatives.
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