Proceedings of the 1st International Symposium on Social Science (isss-15)

The application of Principal Component Analysis Algorithm to Identification of Risk Factors in PFI of Construction of Small Towns

Authors
Rong Song
Corresponding Author
Rong Song
Available Online August 2015.
DOI
10.2991/isss-15.2015.102How to use a DOI?
Keywords
Principal Component Analysis; establishment of small towns; risk estimation, PFI.
Abstract

In order to extract vital factors for the establishment of small town, PCA is introduced there. In this paper, the risk estimation of four small town in Shan’ xi are taken as analysis data. As result shown, the policy, regulation and financial are the principal components in all the factors, and the policy is the most important one. And the result may be worth considering as making establishment plan.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Symposium on Social Science (isss-15)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
August 2015
ISBN
978-94-62520-79-0
ISSN
2352-5398
DOI
10.2991/isss-15.2015.102How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Rong Song
PY  - 2015/08
DA  - 2015/08
TI  - The application of Principal Component Analysis Algorithm to Identification of Risk Factors in PFI of Construction of Small Towns
BT  - Proceedings of the 1st International Symposium on Social Science (isss-15)
PB  - Atlantis Press
SP  - 424
EP  - 427
SN  - 2352-5398
UR  - https://doi.org/10.2991/isss-15.2015.102
DO  - 10.2991/isss-15.2015.102
ID  - Song2015/08
ER  -