Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	cf2017_585
id	cf2017_585
authors	Ben, Yuqiang; Niblock, Chantelle; Bonenberg, Lukasz
year	2017
title	Lincoln Cathedral Interactive Virtual Reality Exhibition
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 585-595.
summary	This paper demonstrates a workflow converting terrestrial laser scan (TLS) data into an interactive virtual reality (VR) platform. A VR exhibition prototype of Lincoln Cathedral was created to validate the established workflow in terms of the technical and visual performance, usability, and functionality. It combined TLS data and storytelling to produce a shareable platform, inviting opportunities for public engagement, and to facilitate custodians with the tools to maintain the building’s heritage. The paper discusses the use of open sourcesoftware and suggests future work.
keywords	3D Laser Scan, Virtual Reality, User Experience, Building Heritage
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	caadria2017_043
id	caadria2017_043
authors	Coorey, Anycie, Haeusler, M. Hank and Coorey, Ben
year	2017
title	Predictive Urban Analytics - Exploring Choice Modelling and Revealed Preferences for Urban Design
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 209-218
doi	https://doi.org/10.52842/conf.caadria.2017.209
summary	Since the rise of generative design, a morphogenetic process of designing has emerged where algorithms are used to explore potential permutations of a solution to find the best design option. Yet, on a subjective level, identifying what option is considered best has often proven to be difficult. Hence, the paper discusses a foundation research to investigate prototypically subjective judgments concern matters of value and preference defined by end users in generative modelled urban design outcome. To do so the paper will introduce and outline research findings in the field of Micro-Economics, in particular its subcategories 'Choice Modelling' as a method and 'Revealed Preferences' as a methodology to assess whether user preferences can be identified and engaged as 'preferred' design options. In the paper the research will outline in greater depth the theories behind Choice Modelling and Revealed Preferences, a field that studies the behaviour of individuals, and its relevance for urban design, in particular Computational Urbanism. The paper discusses how Choice Modelling can analyse design outcomes and conclude and speculate about its use in an applied context.
keywords	Generative design; Aesthetic judgment; Choice modelling; revealed preference; design evaluation.
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2017_042
id	caadria2017_042
authors	Coorey, Ben and Coorey, Anycie
year	2017
title	Generating Urban Form
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 261-269
doi	https://doi.org/10.52842/conf.caadria.2017.261
summary	Modern design of urban forms is venturing towards performative, site-specific architecture that are formed according to the attributes of its urban context. Parametric modelling techniques offer designers the ability to embed generative mechanisms into the design process to allow performance based design. This paper focuses on the development of a synthesis model that generates an Urban Form schema using computational design principles. The design system illustrates a rule-based systematic approach to urban form generation and is a precursor to the automatic exploration of urban forms based on design analytics and evaluation of urban metrics. The role of the architect begins to shift from the designer of objects to the designer of processes with urban planning following a trajectory of data-generated and contextual specific design.
keywords	Parametric Modelling; Urban Modelling; Scripting; Urban Analysis
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2023_227
id	ecaade2023_227
authors	Moorhouse, Jon and Freeman, Tim
year	2023
title	Towards a Genome for Zero Carbon Retrofit of UK Housing
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 197–206
doi	https://doi.org/10.52842/conf.ecaade.2023.2.197
summary	The United Kingdom has some of the worst insulated housing stock in Northern Europe. This is in part due to the age of housing in the UK, with over 90% being built before 1990 [McCrone 2017, Piddington 2020]. Moreover, 85% of current UK housing will still be in use in 2050 by which stage their Government are targeting Net Carbon Zero [Eyre 2019]. Domestic energy use accounts for around 25% of UK carbon emissions. The UK will need to retrofit 20 million dwellings in order to meet this target. If this delivery were evenly spread, it would equate to over 2,000 retrofit completions each day. Government-funded initiatives are stimulating the market, with upwards of 60,000 social housing retrofits planned for 2023, but it is clear that a system must be developed to enable the design and implementation of housing-stock improvement at a large scale.This paper charts the 20-year development of a digital approach to the design for low-carbon domestic retrofit by architects Constructive Thinking Studio Limited and thence documents the emergence of a collaborative approach to retrofit patterns on a National scale. The author has led the Research and Development stream of this practice, developing a Building Information Modelling methodology and integrated Energy Modelling techniques to optimise design for housing retrofit [Georgiadou 2019, Ben 2020], and then inform a growing palette of details and a database of validated solutions [Moorhouse 2013] that can grow and be used to predict options for future projects [D’Angelo 2022]. The data is augmented by monitoring energy and environmental performance, enabling a growing body of knowledge that can be aligned with existing big data to simulate the benefits of nationwide stock improvement. The paper outlines incremental case studies and collaborative methods pivotal in developing this work The proposed outcome of the work is a Retrofit Genome that is available at a national level.
keywords	Retrofit, Housing, Zero-Carbon, BIM, Big Data, Design Genome
series	eCAADe
email
last changed	2023/12/10 10:49

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