TY - JOUR
T1 - Enhancing stakeholder engagement and performance evaluation in building design using BIM and VR
AU - Li, Hongyang
AU - Fang, Shuying
AU - Shi, Tingting
AU - Wales, Ned
AU - Skitmore, Martin
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/7
Y1 - 2025/7
N2 - “VR + BIM” technologies address the growing complexity of construction evaluation systems driven by digital transformation, as traditional methods struggle to meet diverse stakeholder demands. This paper develops an automated evaluation framework integrating Building Information Modeling (BIM) and Virtual Reality (VR) to enhance decision-making processes and enable immersive multi-stakeholder collaboration and data-driven assessments. To verify system effectiveness, a “green + healthy” building scenario under sustainable construction trends is selected. Analysis based on a cloud model of 18 performance indicators reveals superior performance in user experience indicators such as “light environment”, “spatial privacy” but limitations in resource management indicators like “water conservation” and “source control.” The overall system performance transitions from “average” to “relatively good,” confirming automated assessment feasibility. The research contributes a quantitative methodology for BIM-VR integration, enhancing stakeholder engagement and building performance evaluation, offering micro-level design recommendations and macro-level policy interventions for “green + healthy” buildings, advancing digital, intelligent construction practices.
AB - “VR + BIM” technologies address the growing complexity of construction evaluation systems driven by digital transformation, as traditional methods struggle to meet diverse stakeholder demands. This paper develops an automated evaluation framework integrating Building Information Modeling (BIM) and Virtual Reality (VR) to enhance decision-making processes and enable immersive multi-stakeholder collaboration and data-driven assessments. To verify system effectiveness, a “green + healthy” building scenario under sustainable construction trends is selected. Analysis based on a cloud model of 18 performance indicators reveals superior performance in user experience indicators such as “light environment”, “spatial privacy” but limitations in resource management indicators like “water conservation” and “source control.” The overall system performance transitions from “average” to “relatively good,” confirming automated assessment feasibility. The research contributes a quantitative methodology for BIM-VR integration, enhancing stakeholder engagement and building performance evaluation, offering micro-level design recommendations and macro-level policy interventions for “green + healthy” buildings, advancing digital, intelligent construction practices.
UR - http://www.scopus.com/inward/record.url?scp=105002261352&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2025.106191
DO - 10.1016/j.autcon.2025.106191
M3 - Article
AN - SCOPUS:105002261352
SN - 0926-5805
VL - 175
SP - 1
EP - 21
JO - Automation in Construction
JF - Automation in Construction
M1 - 106191
ER -