Article
Article name Human-Geographical Study of the Internet of Things: Promising Directions
Authors
Bibliographic description Blanutsa V. I. Human-geographical study of the Internet of Things: promising directions // Transbaikal State University Journal. 2023. Vol. 29, no. 3. P. 91–99. DOI: 10.2109/2227-9245-2023-29-3-91-99.
Category Economic, Social, Political, Recreational Geography
DOI 911.3
DOI 10.2109/2227-9245-2023-29-3-91-99
Article type Original article
Annotation The article is devoted to the development of human geography in the field of knowledge of the information and communication systems’ territorial organization. The purpose of the study is to identify promising areas for human-geographical study of the Internet of Things. Research objectives are as follows: generalization of the experience of human-geographical study of the Internet of Things, determination of its key parameters and development prospects, comparison of the specifics of machineto- machine interaction with the methodological possibilities of human geography. The source material is a global array of scientific publications on the Internet of Things and human geography, indexed in international bibliographic databases. The selection of the necessary publications has been carried out using the author’s semantic search algorithm. A comparative analysis is used to identify promising areas. Directions are distinguished by a specific object of the study. The main types of the Internet of Things are compared with the possibilities of machine-to-machine interaction based on wireless communication of the fourth, fifth and sixth generations, as well as with the features of human-geographical research. The main types are highlighted and a brief description of the Internet of Things is given. Seven main directions have been identified, which are called geolocation, geo-urban, industrial, agricultural, transport, medical and tourist-geographical directions. With a brief description of each direction, the main attention is paid to the study and change of the object of the study in three stages corresponding to three generations of wireless communication. This will allow for the identification of territorial nodes and digital agglomerations of cities at the second stage, and for the delimitation of digital socio-economic areas at the third stage. It is shown that human-geographical research is available only in four directions within the first stage. The remaining transformations of the Internet of Things have not yet been studied. It is assumed that when integrating all types of the Internet of Things into the Internet of Everything, there will be a need to combine the identified areas into a single methodology. The results obtained can be used in planning future scientific research in the field of human geography, identifying areas of excessive device density and drawing up regional strategies for the development of the digital economy based on the Internet of Things.
Key words human geography, Internetof Everything, geolocation,smart region, spatial roboticcomplex, smart farm, transporthub, wearable medical device,intelligent tourism ecosystem
Article information
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