Demand for freight transportation in the U.S.: a high-level view

Vista sencilla de ítem
dc.creatorAlbert, Adrian
dc.creatorSchaefer, Andreas
dc.date2017-04-01T14:04:11Z
dc.date.accessioned2026-07-09T09:25:15Z
dc.descriptionResearch on freight transportation has seen a tremendous increase in the last decades, yet it still lags behind that on passenger travel, particularly at a macro-level suitable for nation-wide policy analysis. A key challenge in freight demand modeling is the availability of data on key drivers of demand - such as cost, time, and trip length - which usually is proprietary and expensive. Moreover freight data available to the public is usually heterogeneous and published by a number of different bodies. In this study we integrate many publicly-available datasets on these attributes into a consistent database describing freight movement at the U.S. level. We then use this dataset to estimate a discrete-choice model of the shares of major single modes - truck, rail, and air, and compare our results with other similar exercises from the transportation economics literature. We thus present an analysis of the effect of generalized transportation costs and infrastructure quality - captured by travel time - on modal split at the national level. We conclude with recommendations regarding freight transportation data that arise from the insights offered by this exercise for policy-makers and practitioners.
dc.identifierdoi:10.22004/ag.econ.206946
dc.identifierhttps://ageconsearch.umn.edu/record/206946/files/3%20DEMAND%20FOR%20FREIGHT%20TRANSPORTATION%20IN%20THE%20U.S.%20A%20HIGH-LEVEL%20VIEW.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/206946
dc.identifier.urihttp://hdl.handle.net/123456789/608784
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/206946
dc.titleDemand for freight transportation in the U.S.: a high-level view
dc.typeText

Archivos

Colecciones

University of Minnesota