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This study examines several different empirical models of inter-modal terminal characteristics using acombination of available data from the Surface Transportation Board waybill survey and Oak RidgeNational Laboratories national freight transportation database in the estimation process. Empirical modelsincluded ordinary least squares, fixed-effects models, and random effects models. The data also presentedissues of heteroskedasticity and autoregressive processes which are addressed in the paper. Due to thespatial context of the intermodal facilities, the data was also evaluated for spatial interactions andautocorrelation. Substantial evidence of underlying spatial relationships in the data were observed andnoted. The results of this analysis identify those empirical variables and characteristics that contribute tothe economic and operational sustainability of inter-modal facilities, and the relative importance of eachfactor. These assessments may then be used to evaluate infrastructure investment decisions, particularly bypublic entities. This methodology offers an unbiased framework for identifying and evaluating public andprivate benefits resulting from such investments, and serves as a guide for transportation policy involvinginter-modal freight.

Subject(s): Research and Development/Tech Change/Emerging Technologies

Research Methods/ Statistical Methods

Issue Date: 2005-03

Publication Type: Conference Paper/ Presentation

PURL Identifier: http://purl.umn.edu/208177

Total Pages: 22

Record appears in: Transportation Research Forum > 46th Annual Transportation Research Forum, Washington, D.C., March 6-8, 2005





Autor: Peterson, Steven

Fuente: http://ageconsearch.umn.edu/record/208177?ln=en







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