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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 36, Number 7(2) (2024)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 2909-2924
S&M3709 Research Paper of Special Issue https://doi.org/10.18494/SAM5004 Published: July 24, 2024 Evaluation System of Green Smart City [PDF] Wei-Ling Hsu, Yuanyuan Lu, Haiying Xu, Miao Qiao, and Kuo-Shun Sun (Received Januray 22, 2024; Accepted July 4, 2024) Keywords: evaluation indicators, fuzzy Delphi method, analytical hierarchical process
A green smart city is important in the urbanization of countries, and an evaluation system for the functionality and management of the green smart city is inevitable in its construction and maintenance. In this study, we used the fuzzy Delphi method to establish an evaluation index system of the green smart city in line with 5G technology and IoT based on a literature review. The fuzzy hierarchical analysis method was adopted to create questionnaires for experts and extract the weights of the index in the green smart city evaluation system. The method was applied to Shanghai and Taipei in China to assess the level of the application of the green smart city. On the basis of the results, suggestions for the improvement of the evaluation system and development strategies for the green smart city were made, which is an important reference for promoting the construction of green smart cities. (The work was supported by the "Humanities and Social Sciences Foundation of the Chinese Ministry of Education, grant numbers 20YJAGAT002". )
Corresponding author: Wei-Ling Hsu and Kuo-Shun Sun  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Wei-Ling Hsu, Yuanyuan Lu, Haiying Xu, Miao Qiao, and Kuo-Shun Sun, Evaluation System of Green Smart City, Sens. Mater., Vol. 36, No. 7, 2024, p. 2909-2924. |
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