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作者:

Du, J. (Du, J..) (学者:杜江)

收录:

Scopus

摘要:

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.

关键词:

Elasticity coefficient; Forecast; Fuzzy multiple regression; Transportation volume

作者机构:

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

通讯作者信息:

  • 杜江

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

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来源 :

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

ISSN: 1006-2823

年份: 2009

期: 2

卷: 33

页码: 333-336

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