Myeong, S.; Shahzad, K. Integrating Data-Based Strategies and Advanced Technologies with Efficient Air Pollution Management in Smart Cities. Sustainability2021, 13, 7168.
Myeong, S.; Shahzad, K. Integrating Data-Based Strategies and Advanced Technologies with Efficient Air Pollution Management in Smart Cities. Sustainability 2021, 13, 7168.
Myeong, S.; Shahzad, K. Integrating Data-Based Strategies and Advanced Technologies with Efficient Air Pollution Management in Smart Cities. Sustainability2021, 13, 7168.
Myeong, S.; Shahzad, K. Integrating Data-Based Strategies and Advanced Technologies with Efficient Air Pollution Management in Smart Cities. Sustainability 2021, 13, 7168.
Abstract
Air pollution contributes to a critical environmental problem in various towns and cities. With the emergence of the smart cities concept, appropriate methods to curb associated with exposure to pollutants must have been a portion of appropriate urban development policy. This study presents a technologically driven air quality solution in smart cities to advertise energy-efficient and cleaner sequestration in these areas. It aims to address the issue of how to integrate the data-based strategies and artificial intelligence into efficient public sector pollution management in smart cities as a core part of the smart city definition. Exploratory research has been used in 152 smart cities, and environmental experts contributed to this study. It further addresses the technical criteria for implementing such a framework that the public administration uses to prepare the renovation of public buildings, minimize energy use and costs, and link these smart police stations to monitor air pollution as a part of integrated cities. Such a digital transition in resource management will increase public governance's energy performance, a higher standard of operation, and a healthier environment.
Keywords
smart cities; artificial intelligence; internet of things; air pollution
Subject
Business, Economics and Management, Accounting and Taxation
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.