Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)

Research on Evaluation System of Smart City Construction Based on Analytic Hierarchy Process

Authors
He Feng
Corresponding Author
He Feng
Available Online June 2016.
DOI
https://doi.org/10.2991/icemc-17.2017.179How to use a DOI?
Keywords
Smart City; AHP; Evaluation Index System
Abstract

Smart City is a higher city development level after the appearance of industrial city, information city and digital city. Based on the Analytic Hierarchy Process (AHP) method, this paper constructs an evaluation index system in terms of Smart City development which is suitable to the national conditions of China, synthetically considering factors like Smart Economy, Smart Population, and Smart Environment and so on. It provides helpful references for measuring the development level and progress of Smart City, and further promoting the construction of Smart City.

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 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
Series
Advances in Computer Science Research
Publication Date
June 2016
ISBN
978-94-6252-372-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/icemc-17.2017.179How 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  - He Feng
PY  - 2016/06
DA  - 2016/06
TI  - Research on Evaluation System of Smart City Construction Based on Analytic Hierarchy Process
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 886
EP  - 891
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.179
DO  - https://doi.org/10.2991/icemc-17.2017.179
ID  - Feng2016/06
ER  -