Infrastructure Building Information’s Models (I-BIM) and geospatial data are intimately connected to design, build and manage existing or new infrastructures. Parametric modelling tools are able to generate objects that can interact not only with other objects, but also with geospatial data such as terrain models, orthophotos, or georeferenced vector files. Under this point of view GIS (Geographic Information System) and BIM (Building Information Modelling) integration is extremely useful to combine an intelligent and functional database with geographic information. As the first one represents the detailed geometric and semantic information of the construction, the application of the second one is necessary to manage all project’s information resources. In addition, GIS can use combinations of data sets to build and analyze integrated information and also can convert the existing digital information into a form that meets the user’s need. Based on the analysis of literature, this paper summarizes the future trends of BIM-GIS integration in infrastructure projects with its potential opportunities and benefits. Also, this integration can provide more accurate and dynamic solutions for management the infrastructure projects through the entire life cycle.
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23 November 2022
INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING ICCMSE 2021
4–7 September 2021
Heraklion, Greece
Research Article|
November 23 2022
Infrastructure management: An opportunity to integrate BIM and GIS
Giovanna Acampa;
Giovanna Acampa
a)
1
Associate Professor – Faculty of Engineering and Architecture, Kore University of Enna
, Italy
a)Corresponding author: giovanna.acampa@unikore.it
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Giorgia Marino
Giorgia Marino
b)
2
PhD Candidate – Faculty of Engineering and Architecture, Kore University of Enna
, Italy
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a)Corresponding author: giovanna.acampa@unikore.it
AIP Conf. Proc. 2611, 060004 (2022)
Citation
Giovanna Acampa, Giorgia Marino; Infrastructure management: An opportunity to integrate BIM and GIS. AIP Conf. Proc. 23 November 2022; 2611 (1): 060004. https://doi.org/10.1063/5.0119305
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