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

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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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  -