Review on environmental aspects in smart city concept: Water, waste, air pollution and transportation smart applications using IoT techniques

Salman, Meric Yilmaz; Hasar, Halil

doi:10.1016/j.scs.2023.104567

Cited by 77 publications

(16 citation statements)

References 272 publications

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“…In particular, the notion of air quality pertains to the purity of the air and its implications within the urban milieu [81]. This encompasses a spectrum of factors, including pollution, emissions, defilement, and waste management [82]. The indicators of energy is intricately interwoven with the judicious consumption of energy and the active pursuit of employing sustainable sources [83].…”

Section: Discussionmentioning

confidence: 99%

An Assessment Model for Sustainability City Using Crowdsourced Data Based on General System Theory: A Design Science Methodology Approach

Ependi,

Rochim,

Wibowo

2023

Preprint

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Historically, the lack of comprehensive and real-time data is the main challenge in city sustainability assessments. However, with the increase in the availability of crowdsourced data over the last decade, a rich and real-time data source provides detailed images of urban systems. This has opened up new opportunities for practitioners, including geographers, social researchers, and data scientists, to gather and utilize social media data as a core source for studying cities and assessing their sustainability. This paper proposes an assessment model for the sustainability of cities based on crowdsourced data and the principles of General System Theory. The model aims to utilize crowdsourced data for the analysis and decision-making processes to enhance the sustainability and resilience of smart future cities.

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Section: Discussionmentioning

confidence: 99%

An Assessment Model for Sustainability City Using Crowdsourced Data Based on General System Theory: A Design Science Methodology Approach

Ependi,

Rochim,

Wibowo

2023

Preprint

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“…1. The concentration of production factors brought about by SCC can lead to the release of labor 42 , lower knowledge spillover costs, increase productivity, and reduce pollution emissions, thereby reducing PE 43 . Population agglomeration can not only reduce PE through green transportation but achieve pollution reduction by lowering the prices of intermediate inputs through the release of labor 44 , shared intermediate inputs, and knowledge spillover, as well as by enhancing productivity and pollution reduction technologies.…”

Section: Theoretical Analysis and Research Hypothesismentioning

confidence: 99%

The impact of smart city construction (SCC) on pollution emissions (PE): evidence from China

Zhang,

Sun,

Zhong

2024

Sci Rep

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Based on panel data from 210 prefecture-level cities in China from 2003 to 2021, this study employs the Time-Varying Differences-in-Differences (Time-Varying DID) approach to systematically examine the impact of smart city construction on pollution emissions and its underlying mechanisms. Additionally, the Propensity Score Matching–Differences-in-Differences method is employed for further validation. The research findings indicate that Smart City Construction (SCC) significantly reduces urban Volume of Sewage Discharge (VSD), sulfur dioxide emissions (SO2), and Emissions of Fumes and Dust (EFD), thereby mitigating pollution emissions (PE) and enhancing environmental quality. Mechanism analysis reveals that SCC achieves these effects through scale effects, structural effects, and technological effects. City heterogeneity analysis shows that provincial capital cities exhibit a stronger suppression effect on pollution emissions compared to non-provincial capital cities. Moreover, cities with lower levels of education attainment demonstrate a stronger ability to curb pollution emissions, while larger cities exhibit a more pronounced impact on mitigating pollution emissions. The marginal contributions of this study mainly consist of three aspects: Firstly, it enriches the literature on environmental impact factors by assessing, for the first time, the influence of SCC on PE. Secondly, a comprehensive approach is employed, integrating VSD, EFD, SO2 data, and economic and pollution data at the city level. Time-Varying DID is used to evaluate the policy effects of SCC. Finally, the study analyzes the impact mechanisms of SCC policy on environmental emissions from various perspectives.

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“…By monitoring parameters like energy consumption, water quality, and traffic flow through IoT, smart cities can proactively anticipate risks and implement preventive measures, thereby enhancing sustainability [21]. The IoT connects billions of sensor devices to the Internet, offering advantages such as cost-effectiveness, ease of use, and real-time information retrieval [5]. Consequently, the IoT is widely used in environmental management, allowing the detection and evaluation of changes in pressure, gas levels, and temperature, among other factors [5].…”

Section: Internet Of Things and The Sustainable Development Of The Sm...mentioning

confidence: 99%

“…Rapid urbanization and industrialization have hindered sustainable development, leading to issues such as pandemics, severe environmental pollution, inefficient waste management, strained power grids, traffic congestion, and the uneven distribution of education and medical resources [4]. For instance, cities currently account for 60% of energy consumption and over 75% of greenhouse gas emissions globally [5]. Smart cities present a promising solution to tackle these challenges, including epidemic control, population growth, environmental pollution, and energy shortages [6].…”

Section: Introductionmentioning

confidence: 99%

Sensors on Internet of Things Systems for the Sustainable Development of Smart Cities: A Systematic Literature Review

Zeng,

Pang,

Tang

2024

Sensors

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The Internet of Things (IoT) is a critical component of smart cities and a key contributor to the achievement of the United Nations Sustainable Development Goal (UNSDG) 11: Sustainable Cities and Communities. The IoT is an infrastructure that enables devices to communicate with each other over the Internet, providing critical components for smart cities, such as data collection, generation, processing, analysis, and application handling. IoT-based applications can promote sustainable urban development. Many studies demonstrate how the IoT can improve smart cities’ sustainable development. This systematic literature review provides valuable insights into the utilization of the IoT in the context of smart cities, with a particular focus on its implications for sustainable urban development. Based on an analysis of 73 publications, we discuss the role of IoT in the sustainable development of smart cities, focusing on smart communities, smart transportation, disaster management, privacy and security, and emerging applications. In each domain, we have detailed the attributes of IoT sensors. In addition, we have examined various communication technologies and protocols suitable for transmitting sensor-generated data. We have also presented the methods for analyzing and integrating these data within the IoT application layer. Finally, we identify research gaps in the literature, highlighting areas that require further investigation.

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Review on environmental aspects in smart city concept: Water, waste, air pollution and transportation smart applications using IoT techniques

Cited by 77 publications

References 272 publications

An Assessment Model for Sustainability City Using Crowdsourced Data Based on General System Theory: A Design Science Methodology Approach

An Assessment Model for Sustainability City Using Crowdsourced Data Based on General System Theory: A Design Science Methodology Approach

The impact of smart city construction (SCC) on pollution emissions (PE): evidence from China

Sensors on Internet of Things Systems for the Sustainable Development of Smart Cities: A Systematic Literature Review

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