| Title |
Pre- And Post-Covid-19 Study Of Smart Living And Demand Analysis - A Part Of Smart City Modelling |
| ID_Doc |
38892 |
| Authors |
Khan, MSA; Sakib, MHA; Khatun, S; Taj, MNA; Islam, MJ; Akter, T; Rahaman, DA |
| Title |
Pre- And Post-Covid-19 Study Of Smart Living And Demand Analysis - A Part Of Smart City Modelling |
| Year |
2023 |
| Published |
|
| DOI |
|
| Abstract |
In the wake of the COVID-19 pandemic, the concept of "smart living" as a means of utilizing technology and the internet of things (IoT) to improve people's lifestyles has received increased interest. The purpose of this study is to examine the concept of smart living and its potential for fostering sustainable growth and boosting the quality of life. The urge to offer an equitable opportunity for all motivates the research. To achieve this objective, the study gives a statistical and technological examination of smart living, comparing the current state of the art to the era preceding the epidemic. The paper provides a thorough introduction to smart living, including case studies and market analysis of the associated technology. The paper also explores the benefits and drawbacks of smart living and suggests future research and innovation directions. Our primary result is that the pandemic has expedited the use of IoT and smart living technologies, hence fuelling the demand for additional research into their potential. We conclude that smart living shows significant promise for tackling social concerns and enhancing people's well-being in the post-COVID-19 era, and that continued research efforts are required to reach its full potential. This work contributes to the expanding body of literature on smart living and offers insights to scholars, practitioners, and policymakers interested in this field. |
| Author Keywords |
Smart city demand; Smart living; Social point of view; Technical analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:001112416300020 |
| WoS Category |
Engineering, Multidisciplinary |
| Research Area |
Engineering |
| PDF |
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