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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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July 2023, Volume 38 Issue 3
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Abstract
This study presents a macroscopic model for freight transportation in the United States, which integrates mode-choice and shipment-size decisions. The methodology adopts a discrete-continuous econometric framework to address the selectivity bias associated with joint mode-choice and shipment-size decisions. The model estimation utilizes publicly available data from the Commodity Flow Survey 2012. The numerical findings highlight the significance of various variables associated with the transported commodities, underlying socioeconomic activities, and geographic distribution of shipments, underscoring their influential role in shaping the joint decision-making process.
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