Author
Ergen, E., Kula, B., Işın, Gürşans Güven, Artan, D.
Publication Date
2021-01-01
Publication Place
-
ASCE
Subject
Building information modeling (BIM), Facility management, Occupant feedback, Operations and maintenance, Postoccupancy evaluation
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
0887-3801
Record ID
37ac610b-99ef-42ec-b40e-d831e5a086ac
Library Location
Civil Engineering
Date
2021-01-01
Sample Text
Occupant feedback is not effectively used in the facility management (FM) phase for operations and maintenance activities as well as retrofit and refurbishment investment decisions. One of the reasons is related to incomplete or mostly unstructured occupant feedback data. The goal of this paper is (1) to formalize occupant feedback in office buildings by developing a semantic data model, and (2) to implement the semantic data model in a prototype to demonstrate that capturing and storing occupant feedback and integrating it with building information modeling (BIM) improves the experience of both occupants and FM personnel. Interviews were conducted with office occupants and facility managers, and use cases were created to develop the semantic data model. This data model was implemented in the Industry Foundation Classes (IFC) schema and a case study was conducted, in which a prototype for collecting occupant feedback integrated with BIM was developed to test the proposed approach. The applicability, practicability, and usability of the system were measured via usability tests that were applied to the occupants and FM team members. The findings showed that the proposed semantic data model can be utilized to store occupant feedback in a structured manner and to integrate this information with BIM-enabled FM systems. This approach facilitates (1) continuous collection of occupant feedback along with the vital contextual information including geometric data, and (2) effective utilization of this information in FM operations by providing visualization and analysis capabilities.
DOI
10.1061/(ASCE)CP.1943-5487.0000940
Cilt
35
