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	cf2011_p012
id	cf2011_p012
authors	Chen, Liang; Ng Edward
year	2011
title	PedNaTAS: An Integrated Multi-Agent Based Pedestrian Thermal Comfort Assessment System
source	Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 735-750.
summary	Pedestrian’s thermal comfort is of great importance in urban planning. To develop effective planning standards that prompt pedestrian comfort, a comprehensive assessment framework that takes into account pedestrian’s individual perception and behavioral is in great need. Computer simulation tools in this respect are still sparse. This paper presents the PedNaTAS system, an agent-based integrated decision support system that assesses pedestrian thermal comfort from bottom-up.
keywords	thermal comfort, pedestrian simulation, multi-agent based modeling, geographical information system, Repast
series	CAAD Futures
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last changed	2012/02/11 19:21

_id	cf2011_p003
id	cf2011_p003
authors	Ng, Edward; Ren Chao
year	2011
title	Sustainable Planning with a Synergetic Collation of Thermal and Dynamic Characteristics of Urban Climate using Map Based Computational Tools
source	Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 367-382.
summary	Since 2006, half of the world’s population lives in cities. In the age of climate change, designing for quality environmental living conditions and sustainability is a topical concern. However, on the one hand, designers and city planners operate with their three dimensional city morphological data such as building shapes and volumes, forms and their spacings, and functional attributes and definition signatures. On the other hand, urban climatologists operate with their numbers and equations, quantities and signals, and normals and anomalies. Traditionally the two camps do not meet. It is a challenge to develop design tools that they can work together. Map based information system based on computational geographic information system (GIS) that is properly structured and represented offers a common language, so to speak, for the two professional groups to work together. Urban climatic map is a spatial and graphical tool with information embedded in defined layers that are collated so that planners and urban climatologists can dialogue over design issues. With various planning and meteorological data coded in defined grid resolutions onto the GIS map system, data can be synergized and collated for various understandings. This papers explains the formulation of Hong Kong’s GIS based Urban Climatic Map as an example of how the map works in practice. Using the map, zonal and district based planning decisions can be made by planners and urban climatologists that lead to new designs and policy changes.
keywords	sustainable development, urban planning, urban thermal, urban dynamics, computer tools
series	CAAD Futures
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last changed	2012/02/11 19:21

_id	ecaade2011_130
id	ecaade2011_130
authors	Güngör, Özge; Ça_da_, Gülen; Balaban, Özgün
year	2011
title	A Mass Customization Oriented Housing Design Model Based on Genetic Algorithm
doi	https://doi.org/10.52842/conf.ecaade.2011.325
source	RESPECTING FRAGILE PLACES [29th eCAADe Conference Proceedings / ISBN 978-9-4912070-1-3], University of Ljubljana, Faculty of Architecture (Slovenia) 21-24 September 2011, pp.325-331
summary	Today, right along with the products marketed and manufactured by the mass production techniques, continuously developing computing and technology have an undeniable impact on customized design, in which the users have a say on the products design and manufacturing. Mass customization is slowly settling down in architectural design concepts as well, like housing which is one of the best areas where users can reflect their living habits and preferences. In this study, user centric mass customization based model is developed, which creates housing floor plan combining the user-supplied data with the best possible creations generated by the genetic algorithms.
wos	WOS:000335665500037
keywords	Architectural Design Computing; Housing Design; Genetic Algorithm; Mass Customization
series	eCAADe
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last changed	2022/05/01 23:21

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