Freight Demand Modeling and Data Improvement (2013) / Chapter Skim
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Pages 12-16
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From page 12... ...
13 C h a p t e r 1 Background Freight transportation in the United States has been a subject of growing interest to policy makers, state departments of transportation (DOTs) , metropolitan planning organizations (MPOs)
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14 • The impacts of freight movement on the transportation network and the need for decision makers to understand the various elements of the logistics process vary widely depending on geography. Existing data resources are best suited to large geographic scales and do not translate well to local levels.
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15 • Establish a venue for promoting and supporting innovative ideas, modeling methods, data collection, and analysis tools; such a venue is critical to sustain further research. Modeling and Data Issues in Brief Passenger travel demand models, data, and practices are well defined.
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16 that is inextricably tied to the behavior of producers and consumers, freight transportation is reactive by nature and meets the classic economic definition of a derived demand (i.e., demand for freight transportation and affiliated services occurs as a result of demand for products and raw materials)
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17 Data Challenges Current practices in modeling have been developed based on the data available. If new and more robust data sets become available, then freight models will evolve to better reflect the practices that drive the demand for freight and the resulting impact of that demand on the nation's transportation infrastructure.
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