Abstract

The COVID-19 pandemic has demonstrated that creative leadership based on data and citizen volunteers is more significant than vaccines themselves, so this study focuses on the collaboration of sophisticated technologies and human potential to monitor air pollution. Air pollution contributes to critical environmental problems in various towns and cities. With the emergence of the smart city concept, appropriate methods to curb exposure to pollutants must be part of an appropriate urban development policy. This study presents a technologically driven air quality solution for smart cities that advertises energy-efficient and cleaner sequestration in these areas. It attempts to explore how to incorporate data-driven approaches and citizen participation into effective public sector pollution management in smart cities as a major component of the smart city definition. The smart city idea was developed as cities became more widespread through communication devices. This study addresses the technical criteria for implementing a framework that public administration can use to prepare for renovation of public buildings, minimizing energy use and costs and linking smart police stations to monitor air pollution as a part of an integrated city. Such a digital transition in resource management will increase public governance energy performance and provide a higher standard for operations and a healthier environment. The study results indicate that complex processes lead to efficient and sustainable smart cities. This research discovered an interpretive pattern in how public agencies, private enterprises, and community members think and what they do in these regional contexts. It concludes that economic and social benefits could be realized by exploiting data-driven smart city development for its social and spatial complexities.

Highlights

  • In the twenty-first century, rapid urbanization in a few major cities seems to be increasing, because in 1950, only 30% of the world’s population lived in cities; by 2014, that figure had risen to 54%, and by 2050, it is projected to cross 66% [1]

  • The purpose of this study is to find a permanent solution to air pollution in Pakistan

  • IoT-based air quality will monitor a network comprising clean air sensors, so this framework relies on IoT and cloud computing innovations to monitor pollution anywhere at any time to find if the Internet of Things has a positive influence on air pollution management [45]

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Summary

Introduction

In the twenty-first century, rapid urbanization in a few major cities seems to be increasing, because in 1950, only 30% of the world’s population lived in cities; by 2014, that figure had risen to 54%, and by 2050, it is projected to cross 66% [1]. Aside from the number of people, the average size of cities has grown [2]. This pattern of population growth is raising new challenges as governments try to counter its negative consequences: traffic congestion, waste disposal, access to resources, and more crime. An abrupt rise in population trends towards urbanization has been observed recently [3]. The populations in cities are overgrowing and are expected to increase in the future [4]

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