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 %).
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