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Forecasting freight demand using economic indices

This paper describes the results of an effort to predict future freight volume in the truckload (TL) trucking industry. The approach involves the use of stepwise multiple linear regression models that relate freight volume to a variety of economic indicators. The models are built using a large set of actual freight data provided by J.B. Hunt Transport (JBHT), one of the world’s largest TL carriers. The data was first analyzed using the overall set of national data, and then for specific industrial and regional segments. The overall results of these analyses should prove useful to a wide variety of transportation and logistics operations.

Ketersediaan
#
IPC Corporate University Library ATC LO ROB f C.1
ATC1602038
Tersedia
Informasi Detail
Judul Seri
International Journal of Physical Distribution & Logistics Management
No. Panggil
ATC LO ROB f
Penerbit
USA : Emerald Insight.,
Deskripsi Fisik
12 p.
Bahasa
English
ISBN/ISSN
-
Klasifikasi
LO
Tipe Isi
-
Tipe Media
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Tipe Pembawa
online resource
Edisi
Vol. 32 Issue: 4, pp.299-308
Subjek
Forecasting
Freight Transport
Freight operations
Multiple regression analysis
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Versi lain/terkait
Lampiran Berkas
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