Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

The Smart Growth Measurement and Comparison Model Based on the Principal Component Analysis

Authors
Wuyu Zhang
Corresponding Author
Wuyu Zhang
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.77How to use a DOI?
Keywords
smart growth, principal component analysis, metric.
Abstract

Smart growth is about helping cities become economically prosperous, socially equitable, and environmentally sustainable place to live. The purpose of this paper is establishing a model to measure and compare the smart growth degree. Principle component analysis is a suitable method since the factors affecting the smart growth degree are complicated. These factors involve ten principles of smart growth and three E's of sustainability. Through selecting the principle components, I can simplify the method of evaluation at most. Then I choose Cleveland in US and Jiayuguan in China as research objects. According the model, I got the scores on each indicators about each cities, also got the final smart growth of each cities.

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/).

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Volume Title
Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.77
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.77How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Wuyu Zhang
PY  - 2017/04
DA  - 2017/04
TI  - The Smart Growth Measurement and Comparison Model Based on the Principal Component Analysis
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 362
EP  - 365
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.77
DO  - 10.2991/icmmct-17.2017.77
ID  - Zhang2017/04
ER  -