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A STUDY IN UNDERSTANDING THE IMPACT OF BIG DATA TECHNOLOGY AS A PATH TO SOCIAL TRANSITION THROUGH DEVELOPING SMART CITIES

Authors

Randy Tee Eng Choon , Abhijit Ghosh , Rozaini Binti Rosli

Keyword Disruptive technology, Integrated platform, Benefits, Social Transition, Chi-square analysis

Abstract

In recent years, technological innovation has focused on providing various support and sustainable development to communities, nations, and governments. The study investigates the complex link between cutting-edge technology and its ability to catalyze social change. This is done via the prism of smart city development. In our study, we are interested in understanding how cutting-edge technologies provide the conditions for creating smart cities. This research will use an interdisciplinary approach to understand better how technology improvements affect public involvement, municipal infrastructure, and governance. How these changes could affect economic systems, social structures, and environmental sustainability are taken into consideration under this framework. The study endeavors to shed light on the intricate link between technological advancement and societal transformation by conducting an in-depth analysis of case studies and empirical data. Because of this, we will have a more nuanced understanding of the development of smart cities. Using the information that lawmakers, urban planners, and technology developers have obtained from this study, future attempts to harness innovation for the benefit of society may be better tailored. Based on the data, the amount of platform integration has a beneficial influence on the progress of social transformation inside smart cities. The results of the research, which indicate that the adoption of disruptive technology is connected with greater degrees of social transition, illustrate how creative technology may bring about social breakthroughs in settings associated with smart cities.

References

    Allen, B.; Tamindael, L.E.; Bickerton, S.H.; Wonhyuk, C. (2020). “Does citizen coproduction lead to better urban services in smart cities projects? An empirical study on e participation in a mobile big data platform”. Gov. Inf. Q. 2020, 37, 101412. Chen and M. Takayasu . (2014) "Modeling of foreign exchange rate dynamics and simulation (big-data and simulations of social and economic systems-prospect of econophysics study)," Journal of the Japan Society for Simulation Technology, vol. 33, pp. 254-257. Console, V. Presto, and D. R. Recuperate. (2017). "Producing linked data for smart cities: the case of Catania," Big Data Research, vol. 12, no. 7, pp. 1-15. Darden, R. Malega, and R. Stallings. (2019). "Social and economic consequences of black residential segregation by neighborhood socioeconomic characteristics: the case of metropolitan Detroit," Urban Studies, vol. 56, no. 1, pp. 115-130. Feng, Y. C. Duan, M. X. Huang, L. F. Dong, X. Y. Zhou, and T. Hu. (2014). "A research on smart tourism service mechanism 10 Complexity based on context awareness," Applied Mechanics and Materials, vol. 519-520, no. 9, pp. 752-758. García-Valls, M.; Calva-Urrego, C.; García-Fornes, A. (2020). "Accelerating smart eHealth services execution at the fog computing infrastructure ."Future Gener. Comput. Syst. 2020, 108, 882–893 Hashem, A. T. Ibrahim, & A. Victor. (2016). "+e role of big data in smart city," International Journal of Information Management, vol. 36, no. 5, pp. 748–758. Kim, L. A. March, & J. T. Hancock. (2017). "Scaling up research on drug abuse and addiction through social media big data," Journal of Medical Internet Research, vol. 19, no. 10, pp. 142–153. Litres, R. Vijay, and D. Ernesto. (2017) "Big data and data analytics research: from metaphors to value space for collective wisdom in human decision making and smart machines," International Journal on Semantic Web & Information Systems, vol. 13, no. 1, pp. 1 10. Luis, L. Jorge, and S. Pablo. (2016). "Managing large amounts of data generated by a smart city Internet of things deployment," International Journal on Semantic Web & Information Systems, vol. 12, no. 4, pp. 22-24. Lv, T. Yin, X. Zhang, H. Song, & G. Chen. (2016). "Virtual reality smart city based on WebVRGIS," IEEE Internet of 7ings Journal, vol. 3, no. 6, pp. 1015–1024. Marinakisa, V.; Doukasa, H.; Tsapelasa, J.; Mouzakitisa, S.; Sicilia, Á.; Madrazob, L.; Sgouridisc, S. (2020). "From big data to smart energy services: An application for intelligent energy management ."Future Gener. Comput. Syst. 110, 572–586. Mazhar, A. Awaits, & P. Anand. (2016). "Urban planning and building smart cities based on the internet of things using big data analytics," Computer Networks the International Journal of Computer & Telecommunications Networking, vol. 10, no. 4, pp. 63–80. Pan, X., Zhou, W., Lu, Y., and Sun, N. (2019). "Prediction of network traffic of smart cities based on DE-BP neural network ."IEEE Access 7, 55807–55816. doi: 10.1109/ACCESS.2019.2913017 Piaggesi, S., Giurgola, S., Karsai, M., Mejova, Y., Panisson, A., and Tizzoni, M. (2022). "Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data." Front. Big Data 5, 1006352. doi: 10.3389/fdata.2022.1006352 Ren, G. Chen, Y. Han, and H. Zheng. (2016). "Extracting potential bus lines of customized city bus service based on public transport big data," IOP Conference Series: Earth and Environmental Science, vol. 46, no. 1, pp. 120-125. Statista. (2023). Number of population in Malaysia as of July 2023, by state. Retrieved from: https://www.statista.com/statistics/1040670/malaysia-population-distribution-by state/#:~:text=As%20of%20July%202023%2C%20the,estimated%20at%20approxi ately%207.2%20million. Su. (2014). "Regional tendencies of research collaboration of social sciences in China: analysis based on papers of economic journals," Journal of Data and Information Science, vol. 7, no. 1, pp. 31–45. Vimarlund and S. Wass. (2014). "Big data, smart homes, and ambient assisted living," Yearbook of Medical Informatics, vol. 9, no. 1, pp. 143-149. Yaqoob, Z. Ji, and M. Shi. (2015) ."Scenario analysis and application research on big data in smart power distribution and consumption systems," Proceedings of the CSEE, vol. 35, no. 8, pp. 1829-1836. Zhou, S. Lu, & Q. Liu. (2020). "Uniform regularity for a KellerSegel-Navier-Stokes system," Applied Mathematics Letters, vol. 107, Article ID 106476.

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Published

2024-01-30

Issue

Vol. 43 No. 01 (2024)