The Application of BIM as Collaborative Design Technology for Collective Self-Organised Housing

Collective Self-Organised CSO housing projects are an emerging trend in Europe. In these projects communities engage in co-design throughout the process. Little knowledge exists that can support CSOs with the process of managing their projects by using state-of-the-art building information BI technologies. The authors introduce a BI supported CSO housing design process that can support CSOs through all stages in the design process, from early conceptual location planning through to selection of interior finishing. They illustrate the project using a demonstrative illustration of a CSO housing design process. The paper will concentrate on the development of innovative Collaborative Design Technology CDT solutions. The tools will be demonstrated on the basis of an illustrative demonstration case in which the CSO-process is combined with an IFD Industrial, Flexible and Durable building system. The particular advantages for architectural design practice will be highlighted throughout and gaps in the literature addressed.

[1]  Ac Rianne Valkenburg,et al.  The reflective practice of design teams , 1998 .

[2]  Kees Dorst,et al.  The core of ‘design thinking’ and its application , 2011 .

[3]  S. Stumpf,et al.  Talking about team framing: using argumentation to analyse and support experiential learning in early design episodes , 2002 .

[4]  Farhang Mozaffar,et al.  Smart-BIM virtual prototype implementation , 2014 .

[5]  Dietrich-Alexander Möller.  5. Honorarordnung für Architekten und Ingenieure (HOAI) , 2007 .

[6]  Lyn Kathlene,et al.  Cognitive Mapping and GIS for Community-Based Resource Identification , 2007 .

[7]  John Eynon.  What is BIM , 2016 .

[8]  Caroline M. Clevenger,et al.  Design exploration assessment methodology: testing the guidance of design processes , 2013 .

[9]  Carsten Nathani,et al.  Economic potential of energy-efficient retrofitting in the Swiss residential building sector: The effects of policy instruments and energy price expectations , 2007 .

[10]  Martin Fischer,et al.  Areas of Application for 3D and 4D Models on Construction Projects , 2008 .

[11]  Kalle Lyytinen,et al.  Wakes of Innovation in Project Networks: The Case of Digital 3-D Representations in Architecture, Engineering, and Construction , 2007, Organ. Sci..

[12]  C. Folke,et al.  Adaptive Comanagement for Building Resilience in Social–Ecological Systems , 2004, Environmental management.

[13]  Timo Hartmann,et al.  Managing the process of interdisciplinary design: identifying, enforcing, and anticipating decision-making frames , 2013 .

[14]  Neeraj Tiwari,et al.  Geographical Distribution and Surveillance of Tuberculosis (TB) Using Spatial Statistics , 2013, Int. J. Appl. Geospat. Res..

[15]  Ali M. Alqahtany,et al.  A proposed model for sustainable urban planning development for environmentally friendly communities , 2013 .

[16]  Matthew Zook,et al.  Augmented Reality in Urban Places: Contested Content and the Duplicity of Code , 2013 .

[17]  Rizal Sebastian.  Evaluating a Proposed Approach for Managing Collaborative Design in the Conceptual Design Phase , 2006 .

[18]  Žiga Turk,et al.  Component based engineering of a mobile BIM-based Augmented Reality system , 2014 .

[19]  D. Schoen,et al.  The Reflective Practitioner: How Professionals Think in Action , 1985 .

[20]  Wei Yan,et al.  Integrating BIM and gaming for real-time interactive architectural visualization , 2011 .

[21]  Martin Fischer,et al.  CAD-Centric Attribution Methodology for Multidisciplinary Optimization Environments: Enabling Parametric Attribution for Efficient Design Space Formulation and Evaluation , 2014, J. Comput. Civ. Eng..

[22]  Rachael Luck,et al.  ‘Does this compromise your design?’ Interactionally producing a design concept in talk , 2009 .

[23]  Martin Fischer,et al.  Supporting the constructability review with 3D/4D models , 2007 .

[24]  Timo Hartmann,et al.  Expanding the representation of user activities , 2015 .

[25]  John Haymaker,et al.  Design Scenarios: Enabling transparent parametric design spaces , 2012, Adv. Eng. Informatics.