Over the last decade, different smart cities worldwide have started employing enabling technologies such as Internet of Things (IoT), 5G, big-data, digital twin and cloud computing to encourage citizens to conserve natural resources, use public transport to reduce carbon emissions. However, by integrating these enabling technologies with behavioral intelligence, scientific research and trans-disciplinary knowledge can enable smart cities to drive inhabitants more efficiently, and these urban hubs will be able to meet their sustainable development goals (SDGs). Sustainable growth depends on the successful management of transparent and inclusive urban development, particularly in low income and lower-middle income countries where rapid urbanization is expected to reach 50% and 59% on average by 2050. Further, this study sheds light on current issues as well as challenges and future research where the above technologies can promote socio-economic and techno-environmental development, and become a catalyst for the implementation of the concept of smart cities leading to a sustainable future. Keeping in mind the need for sustainability globally, this study presents a participative bottom-up and cognitive top-down paradigm that focuses on developing self-sustainable smart cities where sustainability is at the centre of governance, inhabitants, business, and all other related entities.

在过去十年中，全球不同的智慧城市已开始采用物联网 (IoT)、5G、大数据、数字孪生和云计算等使能技术，以鼓励公民保护自然资源、使用公共交通减少碳排放。然而，通过将这些使能技术与行为智能、科学研究和跨学科知识相结合，可以使智慧城市更有效地驱动居民，这些城市中心将能够实现其可持续发展目标 (SDG)。可持续增长取决于透明和包容性城市发展的成功管理，特别是在低收入和中低收入国家，到 2050 年，这些国家的快速城市化预计将达到平均 50% 和 59%。此外，本研究阐明了当前的问题以及挑战和未来的研究，其中上述技术可以促进社会经济和技术环境的发展，并成为实现智慧城市概念并实现可持续未来的催化剂。牢记全球对可持续性的需求，本研究提出了一种参与式自下而上和认知自上而下的范式，侧重于发展自我可持续的智慧城市，其中可持续性是治理、居民、企业和所有其他相关实体的中心.