Mapping the intellectual structure of GIS-T field (2008–2019): a dynamic co-word analysis

Seyedmohammadreza Hosseini (), Hamed Baziyad (), Rasoul Norouzi (), Sheida Jabbedari Khiabani (), Győző Gidófalvi (), Amir Albadvi (), Abbas Alimohammadi () and Seyedehsan Seyedabrishami ()
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Seyedmohammadreza Hosseini: York University
Hamed Baziyad: Tarbiat Modares University
Rasoul Norouzi: Tarbiat Modares University
Sheida Jabbedari Khiabani: Tarbiat Modares University
Győző Gidófalvi: KTH Royal Institute of Technology
Amir Albadvi: Tarbiat Modares University
Abbas Alimohammadi: K. N. Toosi University of Technology
Seyedehsan Seyedabrishami: Tarbiat Modares University

Scientometrics, 2021, vol. 126, issue 4, No 1, 2667-2688

Abstract: Abstract Using geographic information systems (GIS) widely for dealing with transportation problems (is well-known as GIS-T), has made it nessasary for researchers to discover the current state-of-the-art and predict the trends of future research. This paper aims to contribute to a better understanding of GIS-T research area from a longitudinal perspective, over the period 2008–2019. A co-word analysis was used to illustrate all the underlying subfields of GIS-T based on published papers in the Web of Science (WoS) database service. The main knowledge areas representing the intellectual structure of GIS-T including (a) sustainability, (b) health, (c) planning and management, and (d) methods and tools, were detected. Finally, in order to illustrate the structure and development of the identified clusters, two-dimensional maps and strategic diagrams for each period were drawn. This study is the first attempt to employ a text mining method so as to detect the conceptual structure of GIS-T research area from a complex and interdisciplinary literature.

Keywords: GIS-T; Text mining; Dynamic co-word analysis; Co-occurrence network; Community detection; Research trends (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11192-020-03840-8

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