A Comprehensive Study on User-Centric Smart Life Solutions: Integrating Mobile Integrated Technology and Big Data Analytics for Digitalized Smart City Environments

Abstract

Digitalized smart cities employ user-centric smart living solutions to study how big data analytics and mobile integrated technology (MIT) affect user satisfaction, technology adoption, and quality of life. To show how smart city residents may benefit from this technology. The quantitative technique used surveys, feedback, and sentiment analysis. These methodologies revealed MIT and big data analytics' influence. Research: smart city services should be user-centered. Research suggests big data analytics enhance urban living. With big data, smart cities manage resources, transportation, sustainability, and more. Furthermore, big data analytics-enabled data-driven decision-making continuously raises user satisfaction and rates of technology adoption. In tackling urban issues such as healthcare accessibility and traffic congestion, MIT solutions prove to be effective tools that also foster economic growth in smart cities. The financial gains underscore MIT's capacity to promote prosperity in digitally advanced smart city settings. Moreover, the study advances user-centered design theories, technology adoption, and urban planning. It supports accepted theories and emphasizes the importance of user participation in design, technology acceptance, and the financial benefits of smart city technology. The study's results provide empirical support for the claim that combining big data analytics with MIT greatly enhances user enjoyment, adoption of new technologies, and the general quality of life in digitalized smart cities. Urban planners, legislators, and technology developers can benefit greatly from the theoretical and practical implications presented, encouraging the creation of user-centric smart life solutions in the rapidly changing field of smart cities.