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- W4315767360 abstract "A smart, sustainable city that employs ICTs (information and communication technologies) improves urban businesses and services’ quality of life, productivity, and competitiveness. A sustainable smart city’s significant challenges are legislation and regulations, financing, technical and infrastructural dimensions. While at the same time providing for the economic, social, environmentally, and cultural needs of the present and future generations. Continuous population and urban development have stepped up creative ways of tackling urbanization, with limited implications supporting smart cities’ environments. This cram aimed to build a user-centred design using a sustainable big data analytics assisted optimization framework (SBDAAO) to step up creative ways of tackling urbanization with limited environmental implications. This research represents a first move to provide perspectives and value in creating intelligent cities to instil sustainability. Simulation analysis has been carried out based on the data collected based on city infrastructure. The experimental results have been executed, and the suggested method achieves an accuracy ratio (98.2%), the efficiency ratio (95.5%), energy consumption (20.1%), average communication delay (17.6%), and renewable power (93.9 %)." @default.
- W4315767360 created "2023-01-13" @default.
- W4315767360 creator A5088821198 @default.
- W4315767360 date "2022-12-29" @default.
- W4315767360 modified "2023-09-27" @default.
- W4315767360 title "Modelling a Sustainable Smart City Based on Human and User Centred Design" @default.
- W4315767360 doi "https://doi.org/10.13052/spee1048-5236.4218" @default.
- W4315767360 hasPublicationYear "2022" @default.
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