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The role of big data in smart city

Author

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  • Hashem, Ibrahim Abaker Targio
  • Chang, Victor
  • Anuar, Nor Badrul
  • Adewole, Kayode
  • Yaqoob, Ibrar
  • Gani, Abdullah
  • Ahmed, Ejaz
  • Chiroma, Haruna

Abstract

The expansion of big data and the evolution of Internet of Things (IoT) technologies have played an important role in the feasibility of smart city initiatives. Big data offer the potential for cities to obtain valuable insights from a large amount of data collected through various sources, and the IoT allows the integration of sensors, radio-frequency identification, and Bluetooth in the real-world environment using highly networked services. The combination of the IoT and big data is an unexplored research area that has brought new and interesting challenges for achieving the goal of future smart cities. These new challenges focus primarily on problems related to business and technology that enable cities to actualize the vision, principles, and requirements of the applications of smart cities by realizing the main smart environment characteristics. In this paper, we describe the state-of-the-art communication technologies and smart-based applications used within the context of smart cities. The visions of big data analytics to support smart cities are discussed by focusing on how big data can fundamentally change urban populations at different levels. Moreover, a future business model of big data for smart cities is proposed, and the business and technological research challenges are identified. This study can serve as a benchmark for researchers and industries for the future progress and development of smart cities in the context of big data.

Suggested Citation

  • Hashem, Ibrahim Abaker Targio & Chang, Victor & Anuar, Nor Badrul & Adewole, Kayode & Yaqoob, Ibrar & Gani, Abdullah & Ahmed, Ejaz & Chiroma, Haruna, 2016. "The role of big data in smart city," International Journal of Information Management, Elsevier, vol. 36(5), pages 748-758.
    • Handle: RePEc:eee:ininma:v:36:y:2016:i:5:p:748-758
    DOI: 10.1016/j.ijinfomgt.2016.05.002
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    References listed on IDEAS

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    8. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
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    10. Lim, Chiehyeon & Kim, Ki-Hun & Kim, Min-Jun & Heo, Jun-Yeon & Kim, Kwang-Jae & Maglio, Paul P., 2018. "From data to value: A nine-factor framework for data-based value creation in information-intensive services," International Journal of Information Management, Elsevier, vol. 39(C), pages 121-135.
    11. Zhao, Congyu & Wang, Kun & Dong, Xiucheng & Dong, Kangyin, 2022. "Is smart transportation associated with reduced carbon emissions? The case of China," Energy Economics, Elsevier, vol. 105(C).
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    13. Radhwan Sneesl & Yusmadi Yah Jusoh & Marzanah A. Jabar & Salfarina Abdullah, 2022. "Revising Technology Adoption Factors for IoT-Based Smart Campuses: A Systematic Review," Sustainability, MDPI, vol. 14(8), pages 1-27, April.
    14. Meng Wang & Yalin Qin & Jiaojiao Liu & Weidong Li, 2023. "Identifying personal physiological data risks to the Internet of Everything: the case of facial data breach risks," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-15, December.
    15. Arenas, Alvaro E. & Goh, Jie Mein & Urueña, Alberto, 2019. "How does IT affect design centricity approaches: Evidence from Spain’s smart tourism ecosystem," International Journal of Information Management, Elsevier, vol. 45(C), pages 149-162.
    16. Rajneesh Dwevedi & Vinoy Krishna & Aniket Kumar, 2018. "Environment and Big Data: Role in Smart Cities of India," Resources, MDPI, vol. 7(4), pages 1-10, October.
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