基于熵的Copras和Aras方法评估2021年智慧城市指数中列出的智慧城市

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Foundations of Computing and Decision Sciences Pub Date : 2023-06-01 DOI:10.2478/fcds-2023-0007
Emel Gelmez, Eren Özceylan
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引用次数: 1

摘要

摘要智能城市作为一个基于技术的概念被纳入文献,近年来一直被提上议程,其框架随着技术的变化而不断变化。有不同的框架和指数来定义一个城市的智慧。管理发展研究所(IMD)和新加坡科技与设计大学(SUTD)发布的《2021智能城市指数》是世界上公认的研究之一。在《2021智慧城市指数》报告中,118个城市按照五个标准进行了评估,即健康与安全、流动性、活动、机会(工作和学校)和治理。为了重新评估城市并对结果进行比较,本文采用了多准则决策过程,包括基于熵的复比例评估(COPRAS)和阿氏比率评估(ARAS)方法。为了对标准进行优先级排序,使用了熵权方法。118个城市使用COPRAS和ARAS方法在技术和结构上进行了排名。分析的结果是,根据这些方法,智能城市的排名是相同的。此外,在科技智慧城市上市时,确定前三个国家在结构上分别是珠海、深圳、南京,同时是阿布扎比、重庆、杭州。
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Evaluation of the Smart Cities Listed in Smart City Index 2021 by Using Entropy Based Copras and Aras Methodology
Abstract Smart cities are included in the literature as a technology-based concept that has been on the agenda in recent years and whose framework is constantly changing with the changes in technology. There are different frameworks and indexes to define the smartness of a city. Smart City Index 2021 published by Institute for Management Development (IMD) and Singapore University of Technology and Design (SUTD) is one of the accepted studies in the world. In the report of Smart City Index 2021, 118 cities are evaluated in five criteria namely health & safety, mobility, activities, opportunities (work & school) and governance. To re-evaluate the cities and compare the results, a Multi-Criteria Decision Making (MCDM) process including Entropy based Complex Proportional Assessment (COPRAS) and Addivite Ratio Assessment (ARAS) methodology is applied in this paper. To prioritize the criteria, entropy weight method is used. 118 cities are ranked both technologically and structurally using the COPRAS and ARAS method. As a result of the analyses, according to these methods, the rankings of the smart cities are the same. Also, when technologically smart cities are listed, it is determined that the first three countries are Zhuhai, Shenzhen, Nanjing, and at the same time, Abu Dhabi, Chongqing, Hangzhou in terms of structurally.
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来源期刊
Foundations of Computing and Decision Sciences
Foundations of Computing and Decision Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.20
自引率
9.10%
发文量
16
审稿时长
29 weeks
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