PCA in smart growth evaluation

DOI

10.2991/mecs-17.2017.110How to use a DOI?

Keywords

Principal Component Analysis(PCA),smart growth

Abstract

We nowadays attach more attentions to the concept of sustainable development. Making our life develop faster, suitable and more economical becomes an urgent problem to solve. In these years, some of the cities' continued urban sprawl and the loss of farmland which is surrounding urban centers causes their development out of balance. It does great harm to a country as well as people's happiness. Smart growth is a theory which comprehensively gives the solution to this problem. We establish a basic metric model based on Principal Component Analysis, selecting Chishui city and Heshan city of China as our research objects to do some comparison. By collecting 16 cities' data from the provinces where the two cities locate, we build our initial evaluation model and it is consist of 4 first class indicators and 20 second class indicators . By using SPSS to analyze these data, 8 principal components are accepted finally. Till now, we work out that the success of smart growth of Chishui is -0.1396, while Heshan is 0.2238.

Copyright

© 2017, 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/).

Download article (PDF)

TY  - CONF
AU  - Huanjing Lao
PY  - 2016/06
DA  - 2016/06
TI  - PCA in smart growth evaluation
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SP  - 58
EP  - 61
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.110
DO  - 10.2991/mecs-17.2017.110
ID  - Lao2016/06
ER  -