Freight Demand Modeling and Data Improvement (2013) / Chapter Skim
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1Introduction Research Objective The SHRP 2 C20 research initiative provides the strategic framework for continuous improvement and innovative breakthroughs in freight transportation forecasting, planning, and data. The stated research objective was to "foster fresh ideas and new approaches to designing and implementing freight demand modeling." This objective recognizes that fundamental change is necessary to better integrate freight considerations into the transportation planning process.
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2• Identify and promote innovative research efforts to help develop new modeling and data collection and processing tools in the near and long-term future. • Establish and strengthen links between freight transportation planning tools and supporting data, and also consider the relationships between freight transportation and other areas of public interest, such as development and land use, in which freight movement has major implications.
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3• Freight models should begin to incorporate local land use policies and controls to increase the accuracy and value of freight forecasting at the local level. • There is a need to better understand the correlation between freight activity and various economic influences such as fuel price, currency valuation, and macroeconomic trends.
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4• More effective methodologies are needed to apply freight forecasts to funding and financial analyses, such as revenue projections. • There is a strong interest among highway agencies to develop tools that use freight forecasts to support the agencies' infrastructure design processes.
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5Table ES.2. Freight Decision-Making Needs and Gaps Decision-Making Needs Gaps Between Needs and Current Practices Data or Modeling Requirements to Close Gaps Standardized data sources with common definitions • Various data sources collected through different programs result in extensive inconsistencies.
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7Strategic Objectives and Sample Research Initiatives The SHRP 2 C20 Freight Demand Modeling and Data Improvement Strategic Plan is built on a foundation of seven strategic objectives for future innovation in freight travel demand forecasting and data. The desired direction for enhanced freight planning, forecasting, and data analysis as expressed by the many stakeholders who participated in this project is reflected in these objectives, which are aimed at stimulating innovation through the avenues laid out in the strategic plan.
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8 Table ES.3. Sample Research Initiatives Sample Research Initiativesa Research Dimensions Strategic Objectives Knowledge Models Data 1.
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9dissemination of data necessary to support it (Strategic Objectives 4 and 6) , and the development of enhanced methods for disseminating information from these analytic tools for public stakeholders (Strategic Objective 5)
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10 This peer-based consortium would enable, fund, and promote research, supported through national and international public organizations and private organizations whose efforts serve the freight transportation sector. The member organizations will include public domestic agencies, modal and other associations, universities, and the transportation research entities of other countries.
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11 that the ultimate activities of the consortium will be determined by the combined interests and priorities of the participants. Define Priority Research Issues The GFRC will periodically issue a list of research priority areas based on submissions to GFRCsponsored calls for ideas.
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12 Promote an International Focus Research innovation for freight demand and analysis must necessarily reflect the global nature of freight movement. Implementation must draw on global research and promote participation from all relevant freight sectors and academic institutions worldwide.
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