Abstract
Road intersections are critical components of urban infrastructure networks, ensuring safe and efficient traffic flow. However, their construction frequently experiences delays and cost overruns, often due to inadequate schedule planning. To mitigate these issues, the integration of Building Information Modeling (BIM) and Lean Construction has emerged as a promising strategy. Despite the recognized benefits, their combined application in road infrastructure projects remains limited. This paper proposes a planning framework for planning road intersection construction schedules based on integrating BIM and Lean Construction. The framework was developed using Design Science Research (DSR), through iterative design, development, and evaluation stages. Validation was conducted using a case study involving an at-grade and a grade-separated intersection. Results demonstrate that incorporating BIM and Lean facilitates improved scheduling by integrating digital simulations of construction and traffic management. The proposed framework helps planners make more accurate, efficient, and data-driven scheduling decisions in digital simulations of complex infrastructure.
| Original language | English |
|---|---|
| Article number | 106247 |
| Pages (from-to) | 1-35 |
| Number of pages | 35 |
| Journal | Automation in Construction |
| Volume | 176 |
| Early online date | 14 May 2025 |
| DOIs | |
| State | Published - Aug 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Building information modeling
- Construction planning
- Construction scheduling
- Lean construction
- Methodological framework
- Road intersections
Fingerprint
Dive into the research topics of 'BIM-lean integration for construction scheduling of road intersections'. Together they form a unique fingerprint.Projects
- 1 Finished
-
Planificación de la construcción de proyectos viales, mediante la integración de simulaciones digitales BIM nD, líneas de balance y Last Planner System®
Sanchez Rivera, O. G. (PI), Parra, K. M. C. (CoI), Delgado Almanza, J. A. (CoI), Gomez Cabrera, A. (CoI), Herrera Valencia, R. F. (CoI), Lozano Ramírez, N. E. (CoI), Pinilla Pinto, P. G. (CoI) & Torres Garcia, K. D. (Estud)
18/12/23 → 17/03/26
Project: Research
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