Cross-sectional SWOT Analysis of BIM and GIS Integration

Glinka, Szymon

doi:10.7494/geom.2022.16.3.157

Artykuł - szczegóły

Tytuł artykułu

Cross-sectional SWOT Analysis of BIM and GIS Integration

Autorzy

Glinka Szymon

Treść / Zawartość

Pełne teksty:

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Identyfikatory

DOI

10.7494/geom.2022.16.3.157

Warianty tytułu

Języki publikacji

Abstrakty

The integration of BIM (Building Information Modeling) and GIS (Geographic Information System) technologies allows for added value in many fields; starting from the construction industry to administrative operations. However, the issue of integration is currently quite challenging. This is due to the lack of consistency (inter alia, a lack of standards) in the integration of both technologies. It is the result of the different primary use of BIM and GIS. The use of BIM and GIS integration has great potential, especially in the construction industry. Therefore, it was decided to analyze the strengths and weaknesses of integration as well as the opportunities and threats in the future by performing a SWOT analysis. The analysis was performed cross-sectionally based mainly on the existing literature. Finally, six strengths, five weaknesses, five opportunities, and four threats were identified and described.

Słowa kluczowe

BIM GIS integration BIM&GIS SWOT GeoBIM

Wydawca

AGH University of Science and Technology Press

Czasopismo

Geomatics and Environmental Engineering

Rocznik

2022

Tom

Vol. 16, no. 3

Strony

157--183

Opis fizyczny

Bibliogr. 78 poz.

Twórcy

autor

Glinka Szymon

glinka@agh.edu.pl

AGH University of Science and Technology, Faculty of Geo-Data Science, Geodesy, and Environmental Engineering, Department of Engineering Surveying and Civil Engineering

https://orcid.org/0000-0003-1091-2823

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu „Społeczna odpowiedzialność nauki” - moduł: Popularyzacja nauki i promocja sportu (2022-2023)

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-afd6f825-d1b4-4874-bb84-2d5190daaa6e