Integrating rapid 3D data collection techniques to support BIM design decision making.

Laing, Richard; Leon, Marianthi; Mahdjoubi, Lamine; Scott, Jonathan

Abstract

In recent years, there have been rapid developments in techniques available to capture three dimensional data with regards to the existing built environment. Such technologies support the collection of both large scale landscape and streetscape data, as well as information pertaining to building details such as sculpture and decorative features. During the past five years, there has also been a similar development in the software technologies available to support building information modelling (BIM). Whilst the emphasis in terms of initial introduction of BIM has been predominantly within the construction phase of new developments, there is clear potential to incorporate 3D data pertaining to the existing environment, with apparent value in terms of both the conceptual design phase and during detailed consideration of spatial layout and environmental analysis. This paper describes the processes involved in incorporating on-site collected 3D data within BIM, including modelling and analysis processes. PAPER WAS PRESENTED AT THE 12TH INTERNATIONAL CONFERENCE ON DESIGN AND DECISION SUPPORT SYSTEMS IN ARCHITECTURE AND URBAN PLANNING DDSS2014.

Citation

LAING, R., LEON, M., MAHDJOUBI, L. and SCOTT, J. 2014. Integrating rapid 3D data collection techniques to support BIM design decision making. Procedia environmental sciences [online], 22: proceedings of the 12th International conference on design and decision support systems in architecture and urban planning (DDSS 2014), 25-27 August 2014, Eindhoven, Netherlands, pages 120-130. Available from: https://doi.org/10.1016/j.proenv.2014.11.012

• Journal Article Type: Conference Paper
• Conference Name: 12th International conference on design and decision support systems in architecture and urban planning (DDSS 2014)
• Conference Location: Eindhoven, Netherlands
• Start Date: Aug 25, 2014
• End Date: Aug 27, 2014
• Acceptance Date: Dec 6, 2014
• Online Publication Date: Dec 6, 2014
• Publication Date: Dec 31, 2014
• Deposit Date: Apr 6, 2015
• Publicly Available Date: Apr 6, 2015
• Journal: Procedia environmental sciences
• Print ISSN: 1878-0296
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 22
• Pages: 120-130
• Series ISSN: 1878-0296
• DOI: https://doi.org/10.1016/j.proenv.2014.11.012
• Keywords: BIM; Scanning; Photogrammetry; Design; Evaluation
• Public URL: http://hdl.handle.net/10059/1187