From Data to Action: Exploring AI and IoT-Driven Solutions for Smarter Cities

Dias, Tiago; Fonseca, Tiago; Vitorino, João; Martins, Andreia; Malpique, Sofia; Praça, Isabel

doi:10.1007/978-3-031-38333-5_5

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…Digital infrastructure, including interconnected sensor networks, data analytics, and IoT devices, plays a crucial role in optimizing city services. By integrating smart technologies, cities aim to manage resources more effectively, reduce environmental impact, and enhance the resilience of urban ecosystems [14], [15]. Smart city policies have been found to significantly promote the construction of digital infrastructure, with positive spatial spillover effects [16].…”

Section: Smart Cities and Digital Infrastructurementioning

confidence: 99%

Implementation of Digitalization of City Infrastructure for Improved Sustainability: Case Study on Smart City Project in Surabaya, Indonesia

Judijanto,

Erkamim,

Dolphina

et al. 2023

WSNT

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The application of digitalization in urban contexts, particularly through Smart City initiatives, has become an important avenue to address the complexities of modern urban life. This study focuses on the Smart City Project in Surabaya, Indonesia, aiming to quantitatively analyze the impact of digitalization on sustainability indicators from a community perspective. A quantitative approach, including a survey of 190 residents and regression analysis, was used to comprehensively explore the relationship between demographic factors, perceptions of digital infrastructure and sustainability outcomes. The results showed statistically significant improvements in sustainability indicators, with waste reduction behavior and community satisfaction being particularly important. Regression analysis shows that age, income, and digital literacy significantly influence sustainability outcomes. These findings contribute to the growing body of knowledge on Smart Cities initiatives, offering insights for policymakers, urban planners, and community leaders to increase the effectiveness of digitalization in fostering sustainable urban environments.

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Section: Smart Cities and Digital Infrastructurementioning

confidence: 99%

Implementation of Digitalization of City Infrastructure for Improved Sustainability: Case Study on Smart City Project in Surabaya, Indonesia

Judijanto,

Erkamim,

Dolphina

et al. 2023

WSNT

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“…Furthermore, a thorough literature review by Bibri and associates (2023) zeroes in on the creation of eco-friendly smart cities through the fusion of AI, IoT, and extensive data utilization. Additionally, Dias et al (2023) scrutinize AI and IoT implementations in smart urban environments, highlighting the crucial process of converting data into actionable insights. This collective body of work underpins the premise of our study, emphasizing the "Integration of AI and IoT into corporate social responsibility strategies for financial risk management and sustainable development," thereby offering a comprehensive view of the potential transformative impact of these technologies on sustainable development initiatives.…”

Section: Introductionmentioning

confidence: 99%

Integration of AI and IoT Into Corporate Social Responsibility Strategies for Financial Risk Management and Sustainable Development

Shkalenko,

Nazarenko

2024

Preprint

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The study is dedicated to analyzing the complex interaction between Artificial Intelligence (AI) and the Internet of Things (IoT) with institutional structures in the context of sustainable development. This work examines the impact of these technologies on economic and social development, identifying their potential advantages and risks. Methodologically, the research relies on information gathering and case study analysis, assessing the impact of technology in various domains, from smart cities to the manufacturing sector. The findings emphasize the necessity of integrating technological innovations into broader social and environmental initiatives, highlighting the importance of institutional transformations for achieving environmental sustainability.

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AIoT-CitySense: AI and IoT-Driven City-Scale Sensing for Roadside Infrastructure Maintenance

Forkan,

Kang,

Marti

et al. 2023

Data Sci. Eng.

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The transformation of cities into smarter and more efficient environments relies on proactive and timely detection and maintenance of city-wide infrastructure, including roadside infrastructure such as road signs and the cleaning of illegally dumped rubbish. Currently, these maintenance tasks rely predominantly on citizen reports or on-site checks by council staff. However, this approach has been shown to be time-consuming and highly costly, resulting in significant delays that negatively impact communities. This paper presents AIoT-CitySense, an AI and IoT-driven city-scale sensing framework, developed and piloted in collaboration with a local government in Australia. AIoT-CitySense has been designed to address the unique requirements of roadside infrastructure maintenance within the local government municipality. A tailored solution of AIoT-CitySense has been deployed on existing waste service trucks that cover a road network of approximately 100 kms in the municipality. Our analysis shows that proactive detection for roadside infrastructure maintenance using our solution reached an impressive 85%, surpassing the timeframes associated with manual reporting processes. AIoT-CitySense can potentially transform various domains, such as efficient detection of potholes and precise line marking for pedestrians. This paper exemplifies the power of leveraging city-wide data using AI and IoT technologies to drive tangible changes and improve the quality of city life.

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From Data to Action: Exploring AI and IoT-Driven Solutions for Smarter Cities

Cited by 5 publications

References 12 publications

Implementation of Digitalization of City Infrastructure for Improved Sustainability: Case Study on Smart City Project in Surabaya, Indonesia

Implementation of Digitalization of City Infrastructure for Improved Sustainability: Case Study on Smart City Project in Surabaya, Indonesia

Integration of AI and IoT Into Corporate Social Responsibility Strategies for Financial Risk Management and Sustainable Development

AIoT-CitySense: AI and IoT-Driven City-Scale Sensing for Roadside Infrastructure Maintenance

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