Advancing Data-Driven Decision-Making in Smart Cities through Big Data Analytics: A Comprehensive Review of Existing Literature
Oluwaseun Oladeji Olaniyi, Olalekan Jamiu Okunleye, Samuel Oladiipo Olabanji
Current Journal of Applied Science and Technology · pp. 10–18 · Published 17 Aug 2023
10.9734/cjast/2023/v42i254181Abstract
Governments and cities are increasingly launching smart city (SC) schemes to address the challenges posed by rapid urbanization and population growth in municipalities. Smart cities utilize data from various sources within a metropolis to enhance urban development, promote qualitative lifestyles, and focus on economic and environmental sustainability. Big data analytics (BDA) plays a crucial role in collecting and analyzing vast amounts of data from SC infrastructures, enabling effective management and implementation of smart city initiatives. BDA helps explore data collected through Internet of Things (IoT) devices and sensors, identifying trends, and making appropriate changes, ultimately making smart cities more efficient, sustainable, and beneficial for their inhabitants. However, big data in SC also presents potential risks and challenges related to urban security and the well-being of residents. The literature review examines various research approaches, techniques, algorithms, and architectures proposed to address the challenges of handling big data in smart cities. Urbanization's growing trend is causing challenges in managing basic amenities and resources in urban areas, necessitating innovative solutions to ensure efficient functioning and improved quality of life for citizens. Previous research has highlighted the significance of big data analytics in driving smart city decision-making, yet many smart city big data initiatives have faced difficulties in implementation. To overcome these challenges, researchers have explored techniques like artificial intelligence, machine learning, data mining, and deep learning, as well as architectures encompassing layers of instrumentation, middleware, and application for end-users. Additionally, researchers have emphasized the importance of selecting appropriate sensors for efficient data collection and explored low-cost smart traffic systems to improve urban traffic management. Overall, this review synthesizes insights from nine scholarly papers, shedding light on approaches to handling big data challenges in smart cities.
Cited by 91
Samuel Oladiipo Olabanji, Tunbosun Oyewale Oladoyinbo, Christopher Uzoma Asonze, Chinasa Susan Adigwe, Olalekan Jamiu Okunleye, Oluwaseun Oladeji Olaniyi · Asian Journal of Economics, Business and Accounting · 2024
Chinasa Susan Adigwe, Nanyeneke Ravana Mayeke, Samuel Oladiipo Olabanji, Olalekan Jamiu Okunleye, Princess Chimmy Joeaneke, Oluwaseun Oladeji Olaniyi · Asian Journal of Economics, Business and Accounting · 2024
Yewande Alice Marquis, Tunbosun Oyewale Oladoyinbo, Samuel Oladiipo Olabanji, Oluwaseun Oladeji Olaniyi, Samson Abidemi Ajayi · Asian Journal of Advanced Research and Reports · 2024
Samson Abidemi Ajayi, Oluwaseun Oladeji Olaniyi, Tunbosun Oyewale Oladoyinbo, Nneka Damola Ajayi, Folashade Gloria Olaniyi · Asian Journal of Advanced Research and Reports · 2024
Amaka Debie Samuel-Okon · Asian Journal of Advanced Research and Reports · 2024
Oluwaseun Oladeji Olaniyi, Olalekan Jamiu Okunleye, Samuel Oladiipo Olabanji, Christopher Uzoma Asonze, Samson Abidemi Ajayi · Asian Journal of Research in Computer Science · 2023
Samuel Oladiipo Olabanji, Yewande Alice Marquis, Chinasa Susan Adigwe, Samson Abidemi Ajayi, Tunbosun Oyewale Oladoyinbo, Oluwaseun Oladeji Olaniyi · Asian Journal of Research in Computer Science · 2024
Aisha Temitope Arigbabu, Oluwaseun Oladeji Olaniyi, Chinasa Susan Adigwe, Olubukola Omolara Adebiyi, Samson Abidemi Ajayi · Asian Journal of Research in Computer Science · 2024
Nanyeneke Ravana Mayeke, Aisha Temitope Arigbabu, Oluwaseun Oladeji Olaniyi, Olalekan Jamiu Okunleye, Chinasa Susan Adigwe · Asian Journal of Research in Computer Science · 2024
Oluwaseun Oladeji Olaniyi, Jennifer Chinelo Ugonnia, Folashade Gloria Olaniyi, Aisha Temitope Arigbabu, Chinasa Susan Adigwe · Asian Journal of Research in Computer Science · 2024
Showing 42 of 91 known citations — external sources report more than can currently be individually listed.
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