Big Data Applications for Smart Cities
DOI:
https://doi.org/10.54097/mj1gj9u9Keywords:
Smart Cities, Big Data, Urban Planning, Transportation, Energy Management, Public Safety, Privacy, Security, Digital DivideAbstract
This research synthesized a comprehensive perspective on the integration and impacts of Big Data applications in smart cities. It elucidates the transformative role of Big Data in various sectors of urban life, specifically urban planning, transportation, energy management and public safety. The study identifies measurable outcomes, challenges and strategies gleaned from existing research and practical implementations. Results suggest that while challenges such as privacy, security, and digital divide persist, successful strategies of stakeholder collaboration, advanced analytics, and public engagement can offset them. The findings accentuate the significant potential of Big Data in advancing smart cities, advocating for adaptive and ethically aware implementations. Future research may explore advanced analytical techniques, cybersecurity concerns, and socioeconomic implications within the smart city context.
Downloads
References
Allam, Z., & Dhunny, Z. A. (2019). On big data, artificial intelligence and smart cities. Cities, 89, 80–91. https:// doi.org/ 10.1016/j.cities.2019.01.032.
Atitallah, S. B., Driss, M., Boulila, W., & Ghézala, H. B. (2020). Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions. Computer Science Review, 38, 100303. https://doi. org/ 10.1016/j.cosrev.2020.100303.
Badidi, E., Mahrez, Z., & Sabir, E. (2020). Fog computing for smart cities’ big data management and analytics: A review. Future Internet, 12(11), 190. https://doi.org/ 10.3390/ fi1211 0190.
Bibri, S. E. (2019). On the sustainability of smart and smarter cities in the era of big data: An interdisciplinary and transdisciplinary literature review. Journal of Big Data, 6(1), 25. https://doi.org/10.1186/s40537-019-0182-7.
Chang, V. (2021). An ethical framework for big data and smart cities. Technological Forecasting and Social Change, 165, 120559. https://doi.org/10.1016/j.techfore.2020.120559.
Chen, J., Ramanathan, L., & Alazab, M. (2021). Holistic big data integrated artificial intelligent modeling to improve privacy and security in data management of smart cities. Microprocessors and Microsystems, 81, 103722. https:// doi.org/ 10.1016/j.micpro.2020.103722.
Kandt, J., & Batty, M. (2021). Smart cities, big data and urban policy: Towards urban analytics for the long run. Cities, 109, 102992. https://doi.org/10.1016/j.cities.2020.102992.
Khan, S., Nazir, S., García-Magariño, I., & Hussain, A. (2021). Deep learning-based urban big data fusion in smart cities: Towards traffic monitoring and flow-preserving fusion. Computers & Electrical Engineering, 89, 106906. https:// doi.org/ 10.1016/j.compeleceng.2020.106906.
Li, X., Liu, H., Wang, W., Zheng, Y., Lv, H., & Lv, Z. (2022). Big data analysis of the internet of things in the digital twins of smart city based on deep learning. Future Generation Computer Systems, 128, 167–177. https://doi.org/10. 1016/j. future. 2021. 10.006.
Löfgren, K., & Webster, C. W. R. (2020). The value of Big Data in government: The case of ‘smart cities.’ Big Data & Society, 7(1), 205395172091277. https://doi.org/10.1177/ 205 3951720912775.
Lv, Z., Chen, D., & Lv, H. (2022). Smart City Construction and Management by Digital Twins and BIM Big Data in COVID-19 Scenario. ACM Transactions on Multimedia Computing, Communications, and Applications, 18(2s), 1–21. https:// doi. org/ 10.1145/3529395.
Lv, Z., Qiao, L., Cai, K., & Wang, Q. (2020). Big data analysis technology for electric vehicle networks in smart cities. IEEE Transactions on Intelligent Transportation Systems, 22(3), 1807–1816. https://doi.org/10.1109/TITS.2020.3008884.
Manimuthu, A., Dharshini, V., Zografopoulos, I., Priyan, M. K., & Konstantinou, C. (2021). Contactless Technologies for Smart Cities: Big Data, IoT, and Cloud Infrastructures. SN Computer Science, 2(4), 334. https://doi.org/10.1007/s42979-021-00719-0.
Mujeeb, S., Javaid, N., Ilahi, M., Wadud, Z., Ishmanov, F., & Afzal, M. K. (2019). Deep long short-term memory: A new price and load forecasting scheme for big data in smart cities. Sustainability, 11(4), 987. https://doi.org/10.3390/su11040987.
Nica, E. (2021). Urban big data analytics and sustainable governance networks in integrated smart city planning and management. Geopolitics, History, and International Relations, 13(2), 93–106. https://www.ceeol.com/search/article-detail? id= 992897.
Osman, A. M. S. (2019). A novel big data analytics framework for smart cities. Future Generation Computer Systems, 91, 620–633. https://doi.org/10.1016/j.future.2018.06.046.
Qiu, J., Chai, Y., Tian, Z., Du, X., & Guizani, M. (2019). Automatic concept extraction based on semantic graphs from big data in smart city. IEEE Transactions on Computational Social Systems, 7(1), 225–233. https://doi.org/10. 1109/ TCSS. 2019.2946181.
Sun, M., & Zhang, J. (2020). Research on the application of block chain big data platform in the construction of new smart city for low carbon emission and green environment. Computer Communications, 149, 332–342. https://doi.org/10.1016/j. comcom. 2019.10.031.
Tiwari, P., Ilavarasan, P. V., & Punia, S. (2021). Content analysis of literature on big data in smart cities. Benchmarking: An International Journal, 28(5), 1837–1857. https://doi. org/ 10.1108/BIJ-12-2018-0442.
Zhang, Y., Geng, P., Sivaparthipan, C. B., & Muthu, B. A. (2021). Big data and artificial intelligence based early risk warning system of fire hazard for smart cities. Sustainable Energy Technologies and Assessments, 45, 100986. https://doi. org/10.1016/j.seta.2020.100986.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
