Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Evaluation model of smart growth

Authors
Qiqi He
Corresponding Author
Qiqi He
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.164How to use a DOI?
Keywords
evaluating index system, AHP, Fuzzy Synthetic Evaluation.
Abstract

In order to measure the success of smart growth, we establish a scientific comprehensive evaluation model and take Miami as example. Firstly, We build the evaluating index system. The first layer includes eight indexes such as people density, urban floor area ratio, land productivity and so on. The second layer is composed of five aspects in public infrastructure, industrial structure, traffic, environment and economic. Secondly, Analytic Hierarchy Process (AHP) is adopted to ascertain the weight of the indexes in the two levels. Then the score of the success of smart growth can be calculated with the Fuzzy Synthetic Evaluation Model. Finally, the score of current plan in Miami is 75.82, which called good.

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 Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.164How 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  - Qiqi He
PY  - 2017/04
DA  - 2017/04
TI  - Evaluation model of smart growth
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 855
EP  - 858
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.164
DO  - 10.2991/fmsmt-17.2017.164
ID  - He2017/04
ER  -