Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

Development of an intervention plan for Charleston and Karamay

Authors
Huan Yue
Corresponding Author
Huan Yue
Available Online June 2016.
DOI
10.2991/mecs-17.2017.103How to use a DOI?
Keywords
Intervention plan, The gray prediction model, Sensitivity analysis
Abstract

we develop a intervention plan for Charleston County and Karamay. Then use the gray prediction model to predict the change of the six indicators in few decades, and then obtain the urban development level before the planned intervention. Assumptions necessary are set to analysis indicators change. By comparing urban development level before and after intervention, we find our plan plays a good role. The equity situation in Charleston is resolved, while the environmental of Karamay is improved too. Subsequently perform sensitivity analysis to indicate the importance of its selection for each country.

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 Machinery, Electronics and Control Simulation (MECS 2017)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/mecs-17.2017.103
ISSN
2352-5401
DOI
10.2991/mecs-17.2017.103How 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  - Huan Yue
PY  - 2016/06
DA  - 2016/06
TI  - Development of an intervention plan for Charleston and Karamay
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SP  - 30
EP  - 33
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.103
DO  - 10.2991/mecs-17.2017.103
ID  - Yue2016/06
ER  -