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Pages 10-12

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From page 10...
... 84 FREIGHT DECISION-MAKING AND DATA NEEDS BACKGROUND Establishing a strategic direction for innovative freight research requires an understanding of the decision-making and data needs of state DOTs and MPOs, as well as their perspectives on promising areas of research. It is also important to consider private sector freight decision-making needs, particularly to the extent that they overlap the needs of public agencies.
From page 11...
... 9FREIGHT DEMAND MODELING AND DATA IMPROVEMENT STRATEGIC PLAN SUMMARY OF DECISION-MAKING AND DATA NEEDS The following list highlights those items that stakeholders have most commonly raised as top priorities for freight modeling and data research: • Freight forecasting and analysis can be enhanced through a recognized and valid inventory of standardized data sources with common definitions; • A range of analytic tools and applications to address diverse decision-making needs is needed; • A process is needed to routinely generate new data sources and problem-solving methods; • Behavior-based facets of freight decision making need to be incorporated into modeling, or at least better understood as important context; • Industry-level freight data are needed at a subregional level, and there is also a need to better understand local deliveries in urban areas; • Cost–benefit analysis tools are needed that go beyond traditional financial measures by including direct and indirect benefits and costs (public and private) ; • Consideration should be given to developing a statistical sampling of truck shipment data similar to the Carload Waybill Sample available for railroads; • Better information is needed to understand the nature, volume, and trends of intermodal transfers; • Attention should be given to using technologies such as global positioning systems (GPS)
From page 12...
... 10 FREIGHT DEMAND MODELING AND DATA IMPROVEMENT STRATEGIC PLAN • There is a strong interest among highway agencies to develop tools that use freight forecasts to support the agencies' infrastructure design processes. Greater communication and structured information exchanges between the public and private sectors are needed to expand data sharing and to advance required analytic approaches.

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