Analysis of the Social Aspect of Smart Cities Development for the Example of Smart Sustainable Buildings

Radziejowska, Aleksandra; Sobotka, Bartosz

doi:10.3390/en14144330

Cited by 25 publications

(22 citation statements)

References 29 publications

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“…DEMATEL is widely used in analyzing the barriers, challenges, and enablers in multiple disciplines. Recent studies have used DEMATEL for analyzing barriers in smart sustainable buildings [323], adoption of IoT [324], online food consumption [325,326], and supply-chain risk management [322,327]. The above literature emphasized the importance of DEMATEL in analyzing relationships between the challenges in various industries [61,[328][329][330][331].…”

Section: Methodsmentioning

confidence: 99%

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Wang

Zhao²,

Gangadhari

et al. 2021

Sustainability

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Smart cities play a vital role in the growth of a nation. In recent years, several countries have made huge investments in developing smart cities to offer sustainable living. However, there are some challenges to overcome in smart city development, such as traffic and transportation management, energy and water distribution and management, air quality and waste management monitoring, etc. The capabilities of the Internet of Things (IoT) and artificial intelligence (AI) can help to achieve some goals of smart cities, and there are proven examples from some cities like Singapore, Copenhagen, etc. However, the adoption of AI and the IoT in developing countries has some challenges. The analysis of challenges hindering the adoption of AI and the IoT are very limited. This study aims to fill this research gap by analyzing the causal relationships among the challenges in smart city development, and contains several parts that conclude the previous scholars’ work, as well as independent research and investigation, such as data collection and analysis based on DEMATEL. In this paper, we have reviewed the literature to extract key challenges for the adoption of AI and the IoT. These helped us to proceed with the investigation and analyze the adoption status. Therefore, using the PRISMA method, 10 challenges were identified from the literature review. Subsequently, determination of the causal inter-relationships among the key challenges based on expert opinions using DEMATEL is performed. This study explored the driving and dependent power of the challenges, and causal relationships between the barriers were established. The results of the study indicated that “lack of infrastructure (C1)”, ”insufficient funds (C2)”, “cybersecurity risks (C3)”, and “lack of trust in AI, IoT” are the causal factors that are slowing down the adoption of AI and IoT in smart city development. The inter-relationships between the various challenges are presented using a network relationship map, cause–effect diagram. The study’s findings can help regulatory bodies, policymakers, and researchers to make better decisions to overcome the challenges for developing sustainable smart cities.

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Section: Methodsmentioning

confidence: 99%

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Wang

Zhao²,

Gangadhari

et al. 2021

Sustainability

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“…Citizens can interact with the services based on their mobile devices, public displays, and intelligent user interfaces embedded in the urban space. AI-driven solutions aim at supporting people’s wellbeing, fluency of their everyday lives (Berryhill et al 2019 ), city sustainability through resource optimization, inclusivity, e.g., through smart mobility (Benevolo et al 2016 ), and sustainable use of buildings (Radziejowska and Sobotka 2021 ).…”

Section: Background and Related Workmentioning

confidence: 99%

Advancing residents’ use of shared spaces in Nordic superblocks with intelligent technologies

et al. 2022

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To support the sustainability of future cities, residents’ living spaces need to be built and used efficiently, while supporting residents’ communal wellbeing. Nordic superblock is a new planning, housing, and living concept in which residents of a neighborhood—a combination of city blocks—share yards, common spaces and utilities. Sharing living spaces is an essential element of this approach. In this study, our goal was to study the ways in which intelligent technology solutions—such as proactive, data-driven Artificial Intelligence (AI) applications—could support and even motivate the use of common areas in superblocks. To this end, we conducted a two-phase qualitative study: in the first phase, potential superblock residents (N = 12) shared their perspectives of sharing of living spaces in general, and more specifically of how intelligent technologies could support sharing spaces. In the second phase, two workshops with experts (N = 7) were held to gather understanding of possibilities of intelligent technologies in meeting the residents’ expectations of space sharing. The results illustrate space sharing and communality as supportive factors for one another, enabled but also complicated by social interaction. Major possibilities for intelligent technologies to advance space sharing were seen in organizing the use of spaces and facilitating social interaction in the community. As an outcome, four roles incorporating several use purposes of intelligent technologies were found. The findings can inform the Human-Centered AI (HCAI) research and design improving sustainable living in future urban neighborhoods.

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“…One of the ways of contributing to waste minimisation is the production and management method known as lean management (LM) [ 42 , 53 ]. One of the aims of LM is eliminating waste in every area of the business.…”

Section: Determinants Of the Construction Materials Circularity And Waste Minimisationmentioning

confidence: 99%

Analysis of Factors Affecting the Circularity of Building Materials

Sagan

Sobotka

2021

Materials

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A circular economy requires closed circuits of consumed resources. Construction generates approximately 50% of solid waste globally, which is difficult to manage. The aim of this article was to identify the factors that determine the development of circular construction in the context of waste minimisation in the life cycle of building structures. The identification of cause-and-effect relationships by means of the DEMATEL method allows the problems of construction waste management to be taken into account in the context of the development of sustainable construction and fulfilling the principles of the circular economy.

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Analysis of the Social Aspect of Smart Cities Development for the Example of Smart Sustainable Buildings

Cited by 25 publications

References 29 publications

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China

Advancing residents’ use of shared spaces in Nordic superblocks with intelligent technologies

Analysis of Factors Affecting the Circularity of Building Materials

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