Guidance for Developing a Freight Transportation Data Architecture (2010) / Chapter Skim
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Pages 49-57
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From page 49... ...
The 2003 TRB Special Report 276 concluded that providing all the data needed to satisfy all applications would be beyond the scope of any national initiative and recommended the following data items to capture important characteristics of freight movements (4) : • Origin and destination; • Commodity characteristics, weight, and value; • Modes of shipment; • Routing and time of day; and • Vehicle/vessel type and configuration.
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From page 50... ...
Freight data collection under the American Freight Data Program (13)
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From page 51... ...
Examples of freight data applications reported included the following: – Customs processing; – Development and economic incentives; – Economic analysis and impact; – Energy and climate change; – Environmental impacts and air quality conformance; – Goods movement; – Hazardous material handling; – Incident response; – Industry and state needs; – International trade; – Logistics management; – Marketing and seeking grant funding; – Planning and forecasting; – Performance measurement; – Policy development; – Regional and national system functionality analysis; – Roadside safety inspection; – Routing and dispatching; – Safety analysis; – Transportation infrastructure analysis, design, and construction; – Transportation operations; – Truck volumes for highway assignments; and – Workforce development and training. These trends add weight to the notion that the national freight data architecture should support the use of freight 51
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From page 52... ...
, all other freight data types included in the survey were well represented in the responses. This trend is consistent with the observation above in that a variety of freight data options are necessary to support the various business processes in which planners are involved.
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From page 53... ...
General trends and observations from this activity include the following: • The shipper industry collects large amounts of data, particularly on a shipment-by-shipment basis. Typical shipment data elements collected included the following: – Shipper address; – Consignee address; – Commodity description (some shippers provide more commodity details than others)
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From page 54... ...
At a high level, the research team found that data collected by motor carriers that would be most relevant to a national freight data architecture fell into the following categories: • Shipment level detail and tonnage; • Vehicle routing and mileage; and • Corporaterevenue,profitability,and lane (corridor) analysis.
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From page 55... ...
, the research team organized a peer exchange to discuss preliminary research findings; request feedback; and facilitate a dialogue on implementation strategies to develop, adopt, and maintain a national freight data architecture. As Figure 8 shows, the peer exchange included an opening session, breakout sessions, and a final group discussion session.
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From page 56... ...
Participants thought the list of data sources discussed at the peer exchange was useful, but highlighted the need to include state, regional, and local data sources in the national freight data architecture, noting that national-level data are frequently inadequate for sub-state, local, corridor, and project analyses. For example, FAF and CFS regions are not consistent with MPO boundaries, making it difficult for MPOs to use national-level data.
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From page 57... ...
Other strategies for developing the data architecture included adding a communication or marketing component as well as identifying buy-in and consensus issues, compliance options, and an administration-level champion. Additional ideas discussed included developing a "showcase" to bring attention to the issue of freight data and developing a roadmap for collaboration between the public sector and the private sector for more effective data collection.
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