dc.description.abstract | In recent years, the smart city has gradually become a new popular option in research. The rapid development of artificial intelligence technology has also continuously promoted the deepening of research in smart cities and more researchers have combined these two disciplines. This thesis aims to understand the research development of smart cities and artificial intelligence by the approaches of bibliographic analysis, network analysis and text mining on the Scopus database. According to the results of the exploration, the research output of smart cities and artificial intelligence has shown rapid growth since 2011, especially after 2013, and the contribution of mainland China is particularly prominent. From the view of authors, each article has an average of 4 authors and each author has 1.605 journal articles on average. The topics also demonstrate the characteristics of interdisciplinary. From the network citation analysis, highly cited paper can be divided into two major categories, one is the descriptive literatures of the smart cities concept and the other is related to the research on case analysis and IoT technology. From the research perspective of the country, topics developed along the path of ‘Western Europe – North America and Australia – China, India and South Korea’, which is similar to the path of urbanization development. From the perspective of database index words, the smart cities and artificial intelligence can be roughly divided into six groups, including intelligent traffic, energy, algorithm, communication technology, information technologies and other terms like IoT, big data and decision analysis. In addition, this study uses text mining to find concepts linking with smart cities and artificial intelligence, showing urbanization, intelligence, governance, human life, development, concept, technology as the first layer concepts, and then expand to make the second concepts linking network to explore and to find relevant references. This study integrates a variety of methods to analyze the relevant research of smart cities and artificial intelligence from a macro perspective so that future researchers can understand the development and focus on the topic easier. | en_US |