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

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

Authors

Lamine Mahdjoubi

Jonathan Scott



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

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