“Smart City” concept in the urban economy digitalization system of St. Petersburg

Geraskina, Inna; Kopyrin, Alexey

doi:10.1051/e3sconf/202128108006

E3S Web Conf.

2021

DOI: 10.1051/e3sconf/202128108006

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“Smart City” concept in the urban economy digitalization system of St. Petersburg

Inna Geraskina

Alexey Kopyrin

Abstract: The article is devoted to the “Smart City” concept substantiation, focused on digitalization of urban processes and infrastructure facilities management in St. Petersburg. The priority strategic goals of this project and the corresponding tools are highlighted, a SWOT analysis is carried out to identify the range of possible risks of its implementation. The prerequisites for the “Smart St. Petersburg” concept implementation in the pursuit of widespread digitalization are highlighted, taking into account the dy… Show more

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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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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

View full text Add to dashboard Cite

show abstract

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“Smart City” concept in the urban economy digitalization system of St. Petersburg

Cited by 1 publication

References 10 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

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