Primary BIM dataset for refurbishing flood risk vulnerable housing in the UK

Kim, K P and Park, K S (2016) Primary BIM dataset for refurbishing flood risk vulnerable housing in the UK. Built Environment Project and Asset Management, 6(4), pp. 365-378. ISSN 2044-124X

Abstract

Purpose The purpose of this paper is to identify primary housing information data set to make an informed decision for key stakeholders to determine the most cost effective refurbishment solution among various alternatives in a building information modelling (BIM) system. Design/methodology/approach A building simulation approach in conjunction with a hypothetical case study using BIM software (Autodesk Revit) was adopted to identify primary housing information data set and to examine how housing information data set is processed within a BIM system. Findings Housing information data set such as physical dimensions, energy performance, associated costs, risk level, weather data and other relevant data should be prepared at the outset of a project to determine the most cost effective refurbishment solution. Furthermore, BIM can enable both clients and construction professionals to make informed decisions about diverse climate risk resistant options by providing reliable cost estimations of them at the early design stage. Research limitations/implications Actual housing information for the BIM simulation is limited, and as a result, hypothetical housing information based on the UK Government data were used instead. Practical implications This research will provide essential housing information data set to utilize BIM effectively and efficiently for refurbishing climate risk vulnerable housing. Originality/value This research explores possibility to utilize BIM for climate risk mitigation in the housing sector, and reveals primary housing information data set for BIM to develop a climate resistant housing refurbishment solution.

Item Type: Article
Uncontrolled Keywords: BIM; risk management; project management; refurbishment; floods; housing management; housing information; climate risk
Index terms: risk management, mitigation, housing refurbishment, construction professional, methodology, housing, project management, weather, climate risk, option, early design stage, housing information, energy performance, building simulation, dataset, dimension, cost estimating, case study, building information modelling, housing management
Subjects: information systems, environmental hazards, data management, decision analysis, design process, financial risk, project management theory and practice, professional development, renovation and retrofit, research methods, energy systems, economic analysis, health monitoring assessment and metrics, financial and cost management, real estate economics, modelling and simulation, construction type, risk assessment, data collection methods, air quality
Topics: Urban Studies, Digital Applications, Design Practice, Health and Safety, Cost Management, Information Management, Project Management, Research Practice, Risk Management, Sustainability, Construction Technology
Descriptive scope: 4 PCTE

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here