@article{ref1,
title="A BIM-GIS integration method in support of the assessment and 3D visualisation of flood damage to a building",
journal="Journal of spatial science",
year="2016",
author="Amirebrahimi, Sam and Rajabifard, Abbas and Mendis, Priyan and Ngo, Tuan",
volume="61",
number="2",
pages="317-350",
abstract="Flood damage assessment (FDA) provides an effective basis for the flood risk management process to evaluate and treat risks. Current FDA methods, however, are ill-equipped to account for the distinctiveness of buildings in the analysis. This is mainly due to their limited input data that on the one hand requires complete building information (well-represented in building information models [BIM]) and, on the other hand, the flood information (commonly managed by geographic information systems [GIS]). While such requirements cannot be satisfied via independent use of BIM or GIS, their integration can potentially be used for this purpose. The current BIM-GIS integration methods, however, are limited or application-specific. Therefore they fall short in satisfying the micro-level FDA information requirements. This paper presents a new data model as a profile of Geography Markup Language (GML) for BIM-GIS integration to support the detailed assessment and 3D visualisation of flood damage to buildings. The model was further evaluated using a case study and found effective for this purpose.<p /> <p>Language: en</p>",
language="en",
issn="1449-8596",
doi="10.1080/14498596.2016.1189365",
url="http://dx.doi.org/10.1080/14498596.2016.1189365"
}