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Author:

Du, J. (Du, J..) (Scholars:杜江)

Indexed by:

Scopus

Abstract:

The elastic coefficient method is one essential method to traffic forecast. Its result not only receives the economic indicator predicted value the influence, but also is closely linked with forecast technique's choice. Based on fuzzy multiple regression theory, the relationship is established between freight volume and the related economic variable, and the model is solved, then transport elasticity coefficient is forecasted. Hunan's highway passenger transport elasticity coefficient forecast result indicated that based on fuzzy multiple regression's elasticity coefficient forecast technique by the determination elasticity coefficient's range of variation, may effectively solve imprecise observation data and forecast precision question brought by indefinite target change, and reflect transportation and economical trend of development relations reasonably.

Keyword:

Elasticity coefficient; Forecast; Fuzzy multiple regression; Transportation volume

Author Community:

  • [ 1 ] [Du, J.]College of Architecture and Civil Engineering of BJUT, Beijing 100022, China

Reprint Author's Address:

  • 杜江

    [Du, J.]College of Architecture and Civil Engineering of BJUT, Beijing 100022, China

Email:

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Source :

Journal of Wuhan University of Technology (Transportation Science and Engineering)

ISSN: 1006-2823

Year: 2009

Issue: 2

Volume: 33

Page: 333-336

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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