Assessing the Efficiency of Integrating BIM and Blockchain to Improve Information Management for Mars Buildings: A SWOT-AHP Analysis

This research investigates integrating Building Information Modeling (BIM) and blockchain technology to enhance building information’s security, reliability, and accuracy in Martian environments. Given the unique challenges posed by extraterrestrial construction, this study evaluates the feasibility of this hybrid approach through a structured SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis. Expert inputs were collected through a comprehensive questionnaire identifying nine strengths, eight weaknesses, eight opportunities, and six threats to implementing BIM and blockchain technology in space projects. The Analytical Hierarchy Process (AHP) was used to prioritize these factors. Findings indicate that the strengths are cost calculation and budgeting (26.21), and the weaknesses are technology complexity (25.488). Increased productivity (19.16) is the most important criterion at the opportunity point, and defects in data security (20.68) are the most important at the threat point. The SWOT analysis places BIM and blockchain integration in a conservative strategy quadrant, indicating that the technology holds significant promise but requires further development and refinement. Ultimately, this research contributes to the growing knowledge about extraterrestrial construction technologies and provides a foundation for developing flexible and autonomous building systems for Martian habitats.

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Institutions

Publication Details

Journal
Buildings
Published
2025-02-05
DOI
https://doi.org/10.3390/buildings15030494
Citations
8
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
8.05
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article

Assessing the Efficiency of Integrating BIM and Blockchain to Improve Information Management for Mars Buildings: A SWOT-AHP Analysis

Hadi Sarvari, Mercedes Valiente López, Amirhossein Javaherikhah
8 citations
Buildings
BIM and Construction Integration
8.05
article

Assessing the Efficiency of Integrating BIM and Blockchain to Improve Information Management for Mars Buildings: A SWOT-AHP Analysis

Hadi Sarvari, Mercedes Valiente López, Amirhossein Javaherikhah
article en
8 citations

Abstract

This research investigates integrating Building Information Modeling (BIM) and blockchain technology to enhance building information’s security, reliability, and accuracy in Martian environments. Given the unique challenges posed by extraterrestrial construction, this study evaluates the feasibility of this hybrid approach through a structured SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis. Expert inputs were collected through a comprehensive questionnaire identifying nine strengths, eight weaknesses, eight opportunities, and six threats to implementing BIM and blockchain technology in space projects. The Analytical Hierarchy Process (AHP) was used to prioritize these factors. Findings indicate that the strengths are cost calculation and budgeting (26.21), and the weaknesses are technology complexity (25.488). Increased productivity (19.16) is the most important criterion at the opportunity point, and defects in data security (20.68) are the most important at the threat point. The SWOT analysis places BIM and blockchain integration in a conservative strategy quadrant, indicating that the technology holds significant promise but requires further development and refinement. Ultimately, this research contributes to the growing knowledge about extraterrestrial construction technologies and provides a foundation for developing flexible and autonomous building systems for Martian habitats.

BuildingsVol. 15(3)
Birmingham City University (GB), Universidad Politécnica de Madrid (ES)
Openalex Percentile: Top 3%
BIM and Construction Integration
8.05
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Assessing the Efficiency of Integrating BIM and Blockchain to Improve Information Management for Mars Buildings: A SWOT-AHP Analysis — Hadi Sarvari, Mercedes Valiente López, et al. · Buildings (2025) | TGRS Research Map | TGRS