TY  - JOUR
AU  - Dinh, Trong Hung
AU  - Dinh, Trung Hieu
PY  - 2026
DA  - 2026/06/04
TI  - Developing an Integrated Big Data - Life Cycle Framework for Selecting Construction Material Towards Sustainability in the Preliminary Design Phase
JO  - Recent Progress in Science and Engineering
SP  - 010
VL  - 02
IS  - 02
AB  - Integrating Life Cycle Cost (LCC), Life Cycle Assessment (LCA), and Social Life Cycle Assessment (S-LCA) has emerged as a pivotal approach for evaluating the multi-dimensional performance of construction materials. However, existing studies often treat these dimensions in isolation, failing to provide a holistic representation of sustainable development. Furthermore, while material selection in the preliminary design phase fundamentally dictates the sustainability trajectory of a project, there remains a critical research gap regarding standardized frameworks that integrate Triple Bottom Line (TBL) analysis for this early stage. To address this, the study employs a Systematic Literature Review (SLR) methodology, analyzing 28 relevant publications from ScienceDirect and Scopus between 2012 and 2025 to identify current trends, criteria, and methodological barriers. The main contribution of this paper is the development of an integrated Big Data Life Cycle framework. By leveraging Building Information Modeling (BIM) data from previous projects, the proposed framework utilizes analogous and parametric estimating to address data scarcity during the preliminary design phase. This framework enables decision-makers to conduct comprehensive Life Cycle Sustainability Assessments (LCSA) through Multi-Criteria Decision Making (MCDM), ensuring that material selection aligns with economic, environmental, and social goals from the project's inception.
SN  - 3067-4573
UR  - https://doi.org/10.21926/rpse.2602010
DO  - 10.21926/rpse.2602010
ID  - Dinh2026
ER  -