Big data & artificial intelligence of things for sustainable smart cities - prosing a framework with an innovation systems perspective

Kapoor, Kushagra (2023) Big data & artificial intelligence of things for sustainable smart cities - prosing a framework with an innovation systems perspective. [Dissertation (University of Nottingham only)]

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The United nation projects that the world population could grow to 9.7 billion in 2050 and can reach a peak of around 10.4 billion in 2080s. With this rise in population cities pose a challenge in meeting the needs of growing demand sustainably over the coming years. There is ever increasing density of population within cities due to growing urbanization. There is an urgency in solving challenges due to this demographic change which has led to the need of developing innovative solutions in urban planning leading to smart city. Sustainability is a major agenda within the smart city planning and development but has a lot of challenges too for implementation. Technology is playing a key factor in enabling sustainability agenda of smart cities with big data and Artificial Intelligence of Things(AIoT) leading the innovation within the ecosystem. There is huge data generated and collected today from diverse data sources within a city, but the need is to utilize the data and overcome the sustainability challenges within smart cities. Objective of this study is to identify how sustainability can be addressed through smart city implementations and provide a framework for sustainable smart cities which can efficiently utilize data for building smart applications. This study also looks at the role of Big Data & AIoT within smart city implementations and how it impacts the sustainability. Stakeholder’s involvement and challenges related to data within smart city ecosystem are also considered for both literature review and insights collected from data analysis. The framework is recommended based on extensive literature reviewed and analysis of primary data collected through semi-structured interviews with experts involved in smart city implementations. Smart city implementation needs proper policies delineated for governance and use of data. Data governance and security are one of the primary concerns within smart city ecosystem. Interoperability and reuse of data within systems is also an issue which is common across smart city initiatives.

Item Type: Dissertation (University of Nottingham only)
Keywords: sustainable smart city
Depositing User: Kapoor, Kushagra
Date Deposited: 25 Jul 2023 06:51
Last Modified: 25 Jul 2023 06:51

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