IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

EMERGENCE OF BIG DATA IN SMART CITIES: A FUTURISTIC PERSPECTIVE

Ritika Mehra

Charanpreet Kaur , Prof. Shalu Tandon , Dr. Amandeep Singh , Prof. Vikas Rao Vadi

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

In the era of rapid digital transformation, the proliferation of data has become a defining feature of modern societies. The exponential growth of data generated from diverse sources such as sensors, mobile devices, social media, and digital transactions has led to the emergence of Big Data as a critical technological paradigm. This vast pool of data presents significant opportunities for innovation, particularly in the development of smart cities. Smart cities leverage Information and Communication Technologies (ICT) integrated with Big Data analytics to improve urban infrastructure, optimize resource utilization, and enhance the quality of life for citizens. This research paper provides a comprehensive analysis of the role of Big Data in smart city ecosystems. It explores key applications across sectors including healthcare, education, transportation, energy, and governance. Furthermore, the study examines the benefits, challenges, and future prospects of Big Data in urban development. The findings indicate that while Big Data has immense potential to transform urban living, challenges related to data security, privacy, integration, and governance must be addressed. The paper concludes by emphasizing the need for advanced analytical frameworks, policy interventions, and collaborative efforts to ensure sustainable smart city development

How to Cite this Paper

Mehra, R. (2026). Emergence of Big Data in Smart Cities: A Futuristic Perspective. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.006

Mehra, Ritika. "Emergence of Big Data in Smart Cities: A Futuristic Perspective." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.006.

Mehra, Ritika. "Emergence of Big Data in Smart Cities: A Futuristic Perspective." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.006.

Search & Index

References


  1. Hashem, I. A. T., et al. (2016). The role of big data in smart city. Information Management, 36(5), 748–758.

  2. Wang, Y. (2023). Big Data Applications for Smart Cities. Journal of Innovation and Development.

  3. Lnenicka, M., Hervert, P., & Horak, O. (2024). Understanding big data and data protection measures in smart city strategies. Urban Governance Journal.

  4. Zhuang, Y., et al. (2024). Review of big data implementation in smart cities. Buildings Journal, 14(12).

  5. Ma, X., et al. (2024). Role of big data in sustainable smart city development. Scientific Reports.

  6. (2024). Big data analytics and IoT in smart city development: Challenges and solutions.

  7. (2023). Big data governance framework for smart cities.

  8. Badidi, E., Mahrez, Z., & Sabir, E. (2020). Fog computing for smart cities’ big data management. Future Internet.

  9. Bibri, S. E. (2019). Smart cities and big data sustainability. Journal of Big Data.

  10. Li, X., et al. (2022). Big data analytics in IoT-based smart cities. Future Generation Computer Systems.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 03 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Scroll to Top