论文标题
分析中国智能城市的物联网（IoT）和人工智能（AI）的采用挑战
Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China
论文作者
论文摘要
聪明的城市在一个国家的发展中起着至关重要的作用。近年来，几个国家已经在发展智能城市以提供可持续的生活方面进行了巨大的投资。 However, there are some challenges to overcome in smart city development, such as traffic and transportation man-agement, 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.对阻碍AI和IoT采用的挑战的分析非常有限。这项研究旨在通过分析智能城市发展挑战之间的因果关系来填补这一研究差距，并包含多个结论以前学者工作的部分，以及基于Dematel的数据收集和分析等独立研究和研究。在本文中，我们回顾了文献，以提取采用AI和IoT的关键Chal-lenges。这些帮助我们进行了调查并分析采用状况。因此，使用Prisma方法，从文献综述中确定了10个挑战。随后，执行了基于使用Dematel的专家意见的关键挑战之间因果关系的确定。这项研究探讨了挑战的驾驶和依赖力量，并建立了障碍之间的因果关系。
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 man-agement, 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 chal-lenges 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.
