Integrating Building Information Modeling (BIM) and Life Cycle Cost Analysis (LCCA) to Evaluate the Economic Benefits of Designing Aging-In-Place Homes at the Conceptual Stage

Vafa Rostamiasl () and Ahmad Jrade ()
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Vafa Rostamiasl: Department of Civil Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada
Ahmad Jrade: Department of Civil Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada

Sustainability, 2024, vol. 16, issue 13, 1-24

Abstract: This paper presents a methodology of integrating Building Information Modeling (BIM) and Life Cycle Cost Analysis (LCCA) to evaluate the economic implications of designing aging-in-place (AIP) homes at the conceptual stage. With the rising global aging population, there is a growing demand for housing tailored to elderly needs. This study emphasizes the importance of early design phases, offering a semi-automated model to estimate life cycle costs from design to disposal. The model enables comprehensive economic assessments, highlighting the long-term feasibility of design decisions by considering life cycle costs early in the process. Investing in accessible and universal design features upfront can lead to long-term savings by reducing the need for extensive future retrofits. The model allows for comparisons among different design alternatives, assessing the financial impact of features such as wider doorways, accessible bathrooms, and elevators. This study provides valuable insights for designers and homeowners, supporting efficient decision-making during the early design stages of AIP homes.

Keywords: Building Information Modeling (BIM); Life Cycle Cost Analysis (LCCA); aging in place (AIP); computer integration and automation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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