by Andrea Ganzaroli, SMARTDEST team – Milan University
This study applies bibliometric analysis for conducting a systematic literature review that enable to map the intellectual structure of the smart city.
We performed a search on the Scopus database, which is one of the most important instruments for collecting systematic information on global scientific literature, especially for mapping an emergent field of research, since it does not include only ISI journals. We preferred to use Scopus instead of WOS (Web of Science) or Google Scholar, because the former includes a more restricted number of journals, with a smaller coverage of the social sciences field, and the latter includes also non-peered review articles and redundant information, making difficult to ensure data quality. Data are analyzed through bibliometrix, an R-tool used to do comprehensive science mapping analysis, which was written by Aria and Cuccurullo (2017). The bibliometrix R-package (http://www.bibliometrix.org) provides a set of tools for quantitative research in bibliometrics and scientometrics.
We identified the articles focused on topics related to the smart cities by performing an advanced search on all the subject categories included in the Scopus database. Following Zheng, Yuan, Zhu, Zhang, & Shao, (2020), we performed a search using as keywords [(“smart* cit*”) OR (“smartcit*”) OR (smart sustainable cit*) OR (“smart communit*”) OR (“intelligent cit*”)] in the title and keywords in Scopus and we considered only English document. Following this procedure, we obtained 1966 documents.
In the picture we can see the co-occurrence networks. Co-occurrence networks are the collective interconnection of terms based on their paired presence within a specified unit of text. Networks are generated by connecting pairs of terms using a set of criteria defining co-occurrence. Looking at figure we can see that the terms are distributed among several clusters. The green, turquoise and orange clusters has formed around the Internet of Things (IoT) and its practical applications in the context of a smart city. This finding confirms our hypothesis that the IoT is to some extent, a “core” term or technological core for a smart city. The term “smart city” itself is more within political and media discourse. From a technological perspective, the IoT is a global infrastructure for the information society that provides the ability for more complex services by connecting (physical and virtual) things to each other based on the existing and developing ICTs. Big data (green cluster) are also a key technology for a smart city. Red cluster contains concepts such as “innovation”, “urbanization”, “infrastructure”, “policy making”. While the green, turquoise and orange clusters tend to spotlight the technological sides of a smart city, the red ones is focused on its organizational and policy issues. The meaning of smartness in the urban or metropolitan context not only indicates utilizing cutting-edge of information and communication technologies (ICTs), but also importantly management and policy concerns. The blue cluster has at its centre the word “smart city” that is linked with “sustainable development”.
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