Performance Measurement and Analysis of Building Information Modeling (BIM) Applications in the Railway Infrastructure Construction Phase

Building information modeling (BIM) is acknowledged for enhancing efficiency and collaboration in the construction industry. However, its application in the construction phase of railway projects faces challenges. This study, utilizing quantitative and qualitative analyses, explores the advantage of...

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Bibliographic Details
Published inApplied sciences Vol. 14; no. 2; p. 502
Main Authors Shin, Min-Ho, Kim, Hwan-Yong, Liao, Jian-Feng
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2024
Subjects
Architecture
BIM
BIM consulting
Building information modeling
Business consultants
Collaboration
Construction industry
Consulting services
Cost analysis
Cost control
cost-effectiveness
Design
Infrastructure
Infrastructure (Economics)
Measurement
Performance evaluation
Process planning
qualitative analysis
Qualitative research
Quality standards
quantitative analysis
Railroads
railway infrastructure
Working hours
South Korea
United States > US
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Summary:Building information modeling (BIM) is acknowledged for enhancing efficiency and collaboration in the construction industry. However, its application in the construction phase of railway projects faces challenges. This study, utilizing quantitative and qualitative analyses, explores the advantage of BIM consulting services in the railway infrastructure projects. A comparative analysis of similar-scale projects shows that BIM significantly boosts construction efficiency, yielding a 197.6% economic benefit in pilot projects. This study also delves into the BIM application environment in railway construction. Our findings provide valuable insights into BIM’s advantages and challenges, emphasizing the need for further research. The results will contribute to advancing railway infrastructure and promoting BIM’s application, aiding decision makers and practitioners in understanding its potential contributions to a more efficient and sustainable industry.
ISSN:2076-3417
2076-3417
DOI:10.3390/app14020502