Essential BIM input data study for housing refurbishment:homeowners’ preferences in the UK

Park, Kenneth S. and Kim, Ki P. (2011). Essential BIM input data study for housing refurbishment:homeowners’ preferences in the UK. Buildings, 4 (3), pp. 467-487.

Abstract

Construction customers are persistently seeking to achieve sustainability and maximize value as sustainability has become a major consideration in the construction industry. In particular, it is essential to refurbish a whole house to achieve the sustainability agenda of 80% CO2 reduction by 2050 as the housing sector accounts for 28% of the total UK CO2 emission. However, whole house refurbishment seems to be challenging due to the highly fragmented nature of construction practice, which makes the integration of diverse information throughout the project lifecycle difficult. Consequently, Building Information Modeling (BIM) is becoming increasingly difficult to ignore in order to manage construction projects in a collaborative manner, although the current uptake of the housing sector is low at 25%. This research aims to investigate homeowners’ decision making factors for housing refurbishment projects and to provide a valuable dataset as an essential input to BIM for such projects. One-hundred and twelve homeowners and 39 construction professionals involved in UK housing refurbishment were surveyed. It was revealed that homeowners value initial cost more while construction professionals value thermal performance. The results supported that homeowners and professionals both considered the first priority to be roof refurbishment. This research revealed that BIM requires a proper BIM dataset and objects for housing refurbishment.

Divisions: Engineering & Applied Sciences > Engineering systems & management
Engineering & Applied Sciences
Additional Information: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords: building Information modeling,housing refurbishment,homeowner’s preference
Full Text Link: http://www.mdpi ... 75-5309/4/3/467
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Published Date: 2011-09-11
Authors: Park, Kenneth S. ( 0000-0002-8406-3847)
Kim, Ki P.

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License: Creative Commons Attribution


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