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ARTIFICIAL INTELLIGENCE AND BUILDING INFORMATION MODELING AS A TOOL FOR THE MANAGEMENT OF SAFETY AND SUSTAINABILITY OF GREEN CONSTRUCTION PROJECTS

Tomáš Mandičák, Marcela Spišáková

First published: 2024-12-15https://doi.org/10.5593/sgem2024v/6.2/s25.18View metrics

Abstract

Artificial intelligence (AI) is breaking through more and more into all sectors of the economy. A groundbreaking tool that can change several industries is still at the beginning of the journey and mass implementation, with questionable results. Sustainability and safety in the construction industry have been a priority for the last decades. Pursuing sustainable and safe implementation of construction projects brings several challenges regarding innovations and implementation in practice. This research solves the safety issue by reducing accidents and improving health and sustainability in the management of construction projects. Sustainability and green buildings are close to safety and a healthy environment, which can point to some correlations of the overall sustainable approach in the industry. The research aims to analyze digital tools such as artificial intelligence and information modelling of buildings and the possibilities of use and impacts on the safety and sustainability of construction projects. The research was based on data from a construction industry survey. Data processing uses statistical testing of the research sample and relevant methods. The results point to the possibilities and impacts of using AI and BIM on the safety and sustainability of construction projects.

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Publication details

Title
ARTIFICIAL INTELLIGENCE AND BUILDING INFORMATION MODELING AS A TOOL FOR THE MANAGEMENT OF SAFETY AND SUSTAINABILITY OF GREEN CONSTRUCTION PROJECTS
Authors
Tomáš Mandičák, Marcela Spišáková
Proceedings
24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Nano, Bio, Green and Space: Technologies for Sustainable Future, Vol 24, Issue 6.2
Publisher
STEF92 Technology
Year
2024
Pages
147-154
SWS Citekey
Mandicak202427147154
ISSN
1314-2704; 13142704
ISBN
9786197603781
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References12
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