Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

The Research of the Smart Growth Based on the Gray Prediction Analysis

Authors
Chuxuan Zhang
Corresponding Author
Chuxuan Zhang
Available Online May 2017.
DOI
10.2991/msmee-17.2017.203How to use a DOI?
Keywords
smart growth;gray prediction;evaluation metric.
Abstract

"For a city, the most important thing is not architecture, but planning." Ieoh Ming Pei, a famous Chinese architect, once said. City planning is a comprehensive development tasks and objectives within a certain period. In this paper, we first select 20 indicators ,which conform to the ten principles and the three E's of the city smart growth.Secondly, we take the example of Darwin, Oceania, to collect data on 20 indicators of smart growth to get the corresponding values,including Economic Index(EI) ,Social Equal Index(SEI), Environmental Sustainability Index(ESI) and Smart Growth Index(SGI).Then, through the gray prediction model, we can get the changing trend and value of the related index.Finally, through the changing tendency, we will alter unreasonable index by implementing effective measures to achieve smart growth.

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 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-346-3
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.203How 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  - Chuxuan Zhang
PY  - 2017/05
DA  - 2017/05
TI  - The Research of the Smart Growth Based on the Gray Prediction Analysis
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1043
EP  - 1046
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.203
DO  - 10.2991/msmee-17.2017.203
ID  - Zhang2017/05
ER  -