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A Review on Data-Driven Approach Applied for Smart Sustainable City: Future Studies

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Proceedings of International Conference on Data Science and Applications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 551))

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Abstract

The rule breaking design of growth in terms of global, energy, and wealth which leads the globe experiencing a time of maximum urbanisation. The goal of sustainability development is to transform people’s lives, work and get around by using a knowledge-based approach. The primary form of production for smart cities is data-driven urbanism. The purpose of this article is to examine current trends and technology for smart cities using an information-driven approach in order to be encouraged to be efficient and sustainable in the tomorrow. Because of its immense potential to enhance sustainability, the Internet of Things has evolved to become an important part of smart city ICT facilities. Future research including sustainability will increasingly use backcasting. Big Data and analytics help utilities achieve operational efficiency in data-driven smart cities. The suggested framework will aid academics in assessing and backcasting methods for constructing future smart sustainable urbanisation models, as well as support for IoT and Big Data. Finally, we conclude that any framework for designing smart and livable communities based on contemporary terminologies has strategic relevance in solving lots of the complicated issues and concerns that must be addressed to environmentalism and urbanisation, as well as its advances in accelerating sustainable development.

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Correspondence to Rosmy Antony .

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Antony, R., Sunder, R. (2023). A Review on Data-Driven Approach Applied for Smart Sustainable City: Future Studies. In: Saraswat, M., Chowdhury, C., Kumar Mandal, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 551. Springer, Singapore. https://doi.org/10.1007/978-981-19-6631-6_61

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