Abstract
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.
Highlights
This study aimed to identify and analyze the effect of important challenges that are hindering the adoption of artificial intelligence (AI) and the Internet of Things (IoT) in sustainable smart city development
The challenges were extracted from an extensive literature review, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was used to analyze the relationship of causes–effects between the identified challenges
Developing plans for sustainable smart cities is a major challenge for emerging economies
Summary
Sustainability 2021, 13, 10983 today, technological innovation has become a leading force in driving economic and social development These advanced cities must use new technologies to improve their core systems to maximize optimization in all functions of city management by using limited energy. The concept of smart cities is not clearly and statically defined [3] It is clear through its interdisciplinary development that smart cities are deeply integrated with information and communication technology (ICT) and IoT [4]. An analysis of public reports and government documents showed that in recent years, there has been an increasing number of smart city pilot projects in China (Figures 2 and 3). Artificial intelligence algorithms are being noticed by several industries due to the development of cloud computing, including the study of smart cities. The findings of the study will be useful to understand the cause–effect relationships between the challenges that would help policy makers, practitioners, and researchers to understand the effect of the challenges in building smart cities in China
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