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

An AHP-based Evaluation System of Urban Healthy Growth

Authors
Rui Wang
Corresponding Author
Rui Wang
Available Online May 2017.
DOI
10.2991/msmee-17.2017.177How to use a DOI?
Keywords
Urban healthy growth, AHP.
Abstract

In recent years, the urban planning theory of Healthy Growth has getting more and more attention, due to the situation of increasing urban population. To better quantify the healthy growth degree of a city, we build an AHP based Evaluation System of Healthy Growth. Firstly, we classify and quantify the impact indicators. Secondly, we make an questionnaire, which can be used to predict the weight of each category when the feedback data tends to infinity. Finally, according to the relative importance of indicators under each category, the judgment matrix is established and the weight of each indicator is obtained. Also, the consistency test is excellent.

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-17.2017.177How 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  - Rui Wang
PY  - 2017/05
DA  - 2017/05
TI  - An AHP-based Evaluation System of Urban Healthy Growth
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 917
EP  - 921
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.177
DO  - 10.2991/msmee-17.2017.177
ID  - Wang2017/05
ER  -