SMART CITY: Definition and hvaluation of Key Performance Indicators

被引:0
|
作者
Picioroaga, Irina-Ioana [1 ]
Eremia, Mircea [1 ]
Sanduleac, Mihai [1 ]
机构
[1] Univ Politehn Bucuresti, Dept Elect Power Syst, Bucharest, Romania
来源
2018 INTERNATIONAL CONFERENCE AND EXPOSITION ON ELECTRICAL AND POWER ENGINEERING (EPE) | 2018年
关键词
Analytic Hierarchy Process; energy and environment indicators; evaluation model; Smart City; sustainability;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Accelerated evolution of technology and rising level of globalization have encouraged the emergence of a new concept of urban communities. Smart City model can efficiently incorporate the most recent scientific solutions in daily activities of cities, and improve living quality by integrating social resources, infrastructure modernization and economic growth. Although this novel concept is gaining more and more attention, a smart city assessment system is rarely applied in order to evaluate urban development situation, leading to unjustified decision making and unnecessary investments. In this regard, the formulation of a relevant set of key indicators is mandatory for measuring performance of cities development. The goal of the paper is to provide a comprehensive evaluation model fi- this system of indicators, focusing on energy and environment concerns as study subjects. With the assistance of computer programs, the z-transformation and Analytic Hierarchy Process methods are implemented for the evaluation algorithm construction. The presented model seeks to investigate the development profiles of various cities around the world, but also to carry out comparisons between performances of the selected cities.
引用
收藏
页码:217 / 222
页数:6
相关论文
共 50 条
  • [21] Key Factors Affecting Smart Building Integration into Smart City: Technological Aspects
    Apanaviciene, Rasa
    Shahrabani, Mustafa Muthnna Najm
    SMART CITIES, 2023, 6 (04): : 1832 - 1857
  • [22] The Smart Narrative of a Smart City
    Gonella, Francesco
    FRONTIERS IN SUSTAINABLE CITIES, 2019, 1
  • [23] Smart Security in the Smart City
    Moch, Natalia
    Wereda, Wioletta
    SUSTAINABILITY, 2020, 12 (23) : 1 - 16
  • [24] Prioritizing Key Performance Indicators for the Mining Industry in Kerala: An AHP Approach
    Ayswer, A. S.
    Ramasamy, N.
    Anand, M. dev
    Santhi, N.
    MANAGEMENT AND PRODUCTION ENGINEERING REVIEW, 2024, 15 (03) : 1 - 14
  • [25] The key performance indicators (KPIs) and their impact on overall organizational performance
    Bhatti, M. Ishaq
    Awan, H. M.
    Razaq, Z.
    QUALITY & QUANTITY, 2014, 48 (06) : 3127 - 3143
  • [26] Research on Data Sharing Analysis and Key Technology of Smart City
    Kong, Yun
    Zhao, Junsan
    Yuan, Lei
    Dong, Na
    Lin, Yilin
    Yang, Bo
    2018 26TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS 2018), 2018,
  • [27] Smart City - Smart Logistics Amalgamation
    Shee, Himanshu
    Miah, Shah
    Taboada, Ianire
    De Vass, Tharaka
    2020 IEEE EUROPEAN TECHNOLOGY AND ENGINEERING MANAGEMENT SUMMIT (E-TEMS 2020), 2020,
  • [28] Is a Smart City Framework the Key to Disaster Resilience? A Systematic Review
    Seong, Kijin
    Jiao, Junfeng
    JOURNAL OF PLANNING LITERATURE, 2024, 39 (01) : 62 - 78
  • [29] Investigation of Smart Sustainable City Indicators of Sustainable Development-A Case Study of the City of Suwon
    Pinem, Robetmi Jumpakita
    Kustedjo, Ancilla Katherina
    Iskandar, Yelita Anggiane
    Yahya, Bernardo Nugroho
    SUSTAINABILITY, 2023, 15 (19)
  • [30] Smart City Facilitation Framework (SCFF) and the Case of Dubai Smart City
    Akre, Vishwesh
    Yankova, Veselina
    PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND KNOWLEDGE ECONOMY (ICCIKE' 2019), 2019, : 577 - 581