Article
Article name Human-Geographical Study of the Internet of Things: Promising Directions
Authors Blanutsa V.I. doctor of geographical sciences, RAS expert in economic sciences, leading researcher, Laboratory of Geo-Resources Studies and Political Geography, blanutsa@list.ru
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: 10.21209/2227-9245-2023-29-3-91-99.
Category Economic, Social, Political, Recreational Geography
DOI 911.3
DOI 10.21209/2227-9245-2023-29-3-91-99
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
References 1. Alvarez León L. F. Information policy and the spatial constitution of digital geographic information markets. Economic Geography, vol. 94, no. 3, pp. 217–237, 2018. (In Eng.). 2. Balland P. A., Boschma R. Mapping the potentials of regions in Europe to contribute to new knowledge production in Industry 4.0 technologies. Regional Studies, vol. 55, no. 10–11, pp. 1652–1666, 2021. (In Eng.). 3. Bazargani J. S., Sadeghi-Niaraki A., Choi S.-M. A survey of GIS and IoT integration: Applications and architecture. Applied Sciences, 2021, vol. 11. Web. 21.05.2023. https://www.researchgate.net/ publication/355939874_A_Survey_of_GIS_and_IoT_Integration_Applications_and_Architecture. (In Eng.). 4. Bettiol M., Capestro M., De V. Industrial districts and the fourth industrial revolution. Competitiveness Review: An International Business Journal, vol. 31, no. 1, pp. 12–26, 2020. (In Eng.). 5. Cao H., Wachowicz M. The design of an IoT-GIS platform for performing automated analytical tasks. Computers, Environment and Urban Systems, vol. 74, pp. 23–40, 2019. (In Eng.). 6. Corradini C., Santini E., Vecciolini C. The geography of Industry 4.0 technologies across European regions. Regional Studies, vol. 55, no. 10–11, pp. 1667–1680, 2021. (In Eng.). 7. Garg P. K., Tripathi N. K., Kappas M., Gaur L. Geospatial Data Science in Healthcare for Society 5.0. Singapore: Springer Nature, 2022. (In Eng.). 8. Gretzel U., Werthner H., Koo C., Lamsfus C. Conceptual foundation for understanding smart tourism ecosystems. Computers in Human Behavior, vol. 50, pp. 558–563, 2015. (In Eng.). 9. Gretzel U. From smart destination to smart tourism regions. Investigaciones Regionales. Journal of Regional Research, no. 42, pp. 171–184, 2018. (In Eng.). 10. Götz M. Cluster role in Industry 4.0– A pilot study from Germany. Competitiveness Review: An International Business Journal, vol. 31, no. 1, pp. 54–82, 2020. (In Eng.). 11. Joan C. Agencies, scales and times of path creation: The case of IoT in Toulouse. Regional Science Policy and Practice, vol. 13, no. 5, pp. 1527–1545, 2021. (In Eng.). 12. Kamilaris A., Ostermann F. Geospatial analysis and the Internet of Things. International Journal of Geo-Information, vol. 7, no. 7, 2018. Web. 21.05.2023. https://www.researchgate.net/publication/326311898_ Geospatial_Analysis_and_the_Internet_of_Things. (In Eng.). 13. Klerkx L., Jakku E., Labarthe P. A review of social science on digital agriculture, smart farming and Agriculture 4.0: New contributions and a future research agenda. NJAS – Wageningen Journal of Life Science, vol. 90, 2019. Web. 21.05.2023. https://www.researchgate.net/publication/337367208_A_review_of_social_ science_on_digital_agriculture_smart_farming_and_agriculture_40_New_contributions_and_a_future_ research_agenda. (In Eng.). 14. Koutridi E., Tsiotas D., Christopoulou O. Examining the spatial effects of “smartness” on the relationship between agriculture and regional development: The case of Greece. Land, vol. 12, no. 3, pp. 1–22, 2023. (In Eng.). 15. Lee P., Zach F. J., Chung N. Progress in smart tourism 2010–2017: A systematic literature review. Journal of Smart Tourism, vol. 1, no. 1, pp. 19–30, 2021. (In Eng.). 16. Lu Y., Zheng X. 6G: A survey on technologies, scenarios, challenges, and the related issues. Journal of Industrial Information Integration, vol. 19, pp. 100–158, 2020. (In Eng.). 17. Mora L., Bolici R., Deakin M. The first two decades of smart-city research: A bibliometric analysis. Journal of Urban Technology, vol. 24, no. 1, рр. 3–27, 2017. (In Eng.). 18. Navio-Marco J., Rodrigo-Moya B., Gerli P. The rising importance of the “smart territory” concept: Definition and implications. Land Use Policy, vol. 99, 2020. Web. 21.05.2023. https://www.researchgate.net/ publication/342922209_6G_A_Survey_on_Technologies_Scenarios_Challenges_and_the_Related_Issues. (In Eng.). 19. Novera C. N., Ahmed Z., Kushol R., Wanke P., Azad A. K. Internet of Things (IoT) in smart tourism: A literature review. Spanish Journal of Marketing – ESIC, vol. 26, no. 3, pp. 325–344, 2022. (In Eng.). 20. Otowicz M. H., Macedo M., Biz A. A. Dimensions of smart tourism and its levels: An integrative literature review. Journal of Smart Tourism, vol. 2, no. 1, pp. 5–19, 2022. (In Eng.). 21. Parada R., Cardenes-Tacoronte D., Monzo C., Melia-Segui J. Internet of Things Area Coverage Analyzer (ITHACA) for complex topographical scenarios. Symmetry, vol. 9, no. 10, 2017. Web. 21.05.2023. https:// www.researchgate.net/publication/320498407_Internet_of_THings_Area_Coverage_Analyzer_ITHACA_for_ Complex_Topographical_Scenarios. (In Eng.). 22. Rejeba A., Rejeb K., Simske S., Treiblmaier H., Zailani S. The big picture of the Internet of Things and the smart city: A review of what we know and what we need to know. Internet of Things, vol. 19, 2022. Web. 21.05.2023. https://www.researchgate.net/publication/361701475_The_big_picture_on_the_internet_of_ things_and_the_smart_city_a_review_of_what_we_know_and_what_we_need_to_know. (In Eng.). 23. Rodrigue J.-P., Comtois C., Slack B. The Geography of Transport Systems. London; New York: Routledge, 2006. (In Eng.). 24. Russo M., Caloffi A., Colovic A., Pavone P., Romeo S., Rossi F. Mapping regional strengths in a key enabling technology: The distribution of Internet of Things competences across European regions. Papers in Regional Science, vol. 101, no. 4, pp. 875.900, 2022. (In Eng.). 25. Saiz-Rubio V., Rovira-Mas F. From smart farming towards Agriculture 5.0: A review on crop data management. Agronomy, vol. 10, no. 2, 2020. Web. 12.05.2025. https://www.researchgate.net/publication/338991757_ From_Smart_Farming_towards_Agriculture_50_A_Review_on_Crop_Data_Management. (In Eng.). 26. Silva D. S., Holanda M. Applications of geospatial big data in the Internet of Things. Transactions in GIS, vol. 26, no. 1, pp. 41.71, 2022. (In Eng.). 27. Sorri K., Mustafee N., Seppanen M. Revisiting IoT definitions: A framework towards comprehensive use. Technological Forecasting and Social Change, vol. 179, 2022. Web. 12.05.2023. https://www.researchgate.net/ publication/359634435_Revisiting_IoT_definitions_A_framework_towards_comprehensive_use. (In Eng.). 28. Strozzi F., Colicchia C., Creazza A., Noe C. Literature review on the Ѓgsmart factoryЃh concept using bibliometric tools. International Journal of Production Research, vol. 55, no. 22, pp. 6572.6591, 2017. (In Eng.). 29. Sulyok J., Fehervolgyi B., Csizmadia T., Katona A. I., Kosztyan Z. T. Does geography matter? Implications for future tourism research in light of COVID-19. Scientometrics, vol. 128, pp. 1601.1637, 2023. (In Eng.). 30. Van der Zee E., Scholten H. Spatial dimensions of big data: Application of geographical concepts and spatial technology to the Internet of Things. Studies in Computational Intelligence, vol. 546, pp. 137.168, 2014. (In Eng.). 31. Want R., Schilit B. N., Jenson S. Enabling the Internet of Things. Computer, vol. 48, no. 1, pp. 28.35, 2015. (In Eng.). 32. Xue J., Li Z., Wang X., Ji Y. Dynamic evaluation and spatial characteristics of smart manufacturing capability in China. Sustainability, vol. 14, no. 17, 2022. Web. 12.05.2023. https://www.researchgate.net/ publication/363099975_Dynamic_Evaluation_and_Spatial_Characteristics_of_Smart_Manufacturing_Capability_ in_China. (In Eng.). 33. Zeimpekis V., Kourouthanasis P. E., Giaglis G. M. Mobile and wireless positioning technologies. Telecommunication Systems and Technologies. Oxford, UK: Eolss Publ., 2007. (In Eng.). 34. Zhou Q., Zhang J. Internet of Things and geography . Review and prospect. Processing of the International Conference on Multimedia and Signal Processing. Guilin: IEEE, 2011. (In Eng.).
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