Cognitive City Platform as Digital Public Infrastructure for Developing a Smart, Sustainable and Resilient City in Indonesia

被引:2
|
作者
Prabowo, Okyza Maherdy [1 ]
Mulyana, Eueung [1 ]
Nugraha, I. Gusti Bagus Baskara [1 ]
Supangkat, Suhono Harso [1 ,2 ]
机构
[1] Bandung Inst Technol, Sch Elect Engn & Informat, Bandung 40132, Indonesia
[2] Bandung Inst Technol, Smart City & Community Innovat Ctr, Bandung 40132, Indonesia
来源
IEEE ACCESS | 2023年 / 11卷
关键词
City anomaly analytics; cognitive cities; cognitive city platform; smart sustainable cities; smart resilient cities; BIG DATA ANALYTICS; ARTIFICIAL-INTELLIGENCE; ANOMALY DETECTION; DECISION-MAKING; CITIES; SYSTEMS; SECURITY; FRAMEWORK; PRIVACY; STATE;
D O I
10.1109/ACCESS.2023.3327305
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The development of smart cities has evolved through several generations since the beginning. Many requirements and technologies have been devised to facilitate the implementation of the smart city concept, among which the smart city platform stands out. The implementation of smart city platforms facilitates the advancement of technology-driven services in smart cities, hence enhancing the overall well-being of their residents. Nevertheless, the existing notion of smart cities has evolved into a more comprehensive model encompassing intelligence, sustainability, and resilience. The paradigm shift in urban development necessitates fulfilling diverse needs by both smart cities and platforms. Research about the current smart city platforms necessitates adaptation to align with the criteria for developing smart, sustainable, and resilient cities. This study presents the Cognitive City Platform as a digital public infrastructure compatible with advancing intelligent, sustainable, and resilient urban areas. The adaptability of the system architecture on the cognitive city platform allows for its implementation in cities of different scales and sizes. Additionally, the platform incorporates city anomaly analytics as its initial level of cognitive functionality. This study additionally presents findings regarding the practical usage of the Cognitive City platform and empirical data about assessing its performance and scalability.
引用
收藏
页码:120157 / 120178
页数:22
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