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author:

Ke, Z. (Ke, Z..) [1] | Yaping, Z. (Yaping, Z..) [2]

Indexed by:

Scopus

Abstract:

This paper applies the cluster analysis method to categorize the 17 sample companies in a high-tech park in terms of their workshop area. First of all, the annual freight traffic volume per unit workshop area has been used as the index to cluster the 17 sample companies into 4 groups. The results show that each group of companies produces the similar products. Secondly, the workshop area or site area of a company correlates well with its annually generated freight traffic. The regression analysis shows a linear correlation between the workshop area (or site area) of the company and its annual freight traffic volume. These models can be applied to predict the freight traffic volume for the planning high-tech park. © 2009 ASCE.

Keyword:

Cluster analysis method; Freight traffic volume; High-tech park; Regression analysis method

Community:

  • [ 1 ] [Ke, Z.]Civil Engineering College, Fuzhou University, P.O. Box 350108, China
  • [ 2 ] [Yaping, Z.]School of Transportation Science and Engineering, Harbin Institute of Technology, P.O. Box 150090, China

Reprint 's Address:

  • [Ke, Z.]Civil Engineering College, Fuzhou University, P.O. Box 350108, China

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Source :

Proceedings of the 9th International Conference of Chinese Transportation Professionals, ICCTP 2009: Critical Issues in Transportation System Planning, Development, and Management

Year: 2009

Volume: 358

Page: 164-170

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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