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 caadria2021_354
id caadria2021_354
authors Huang, Chenyu, Gong, Pixin, Ding, Rui, Qu, Shuyu and Yang, Xin
year 2021
title Comprehensive analysis of the vitality of urban central activities zone based on multi-source data - Case studies of Lujiazui and other sub-districts in Shanghai CAZ
source A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 549-558
doi https://doi.org/10.52842/conf.caadria.2021.2.549
summary With the use of the concept Central Activities Zone in the Shanghai City Master Plan (2017-2035) to replace the traditional concept of Central Business District, core areas such as Shanghai Lujiazui will be given more connotations in the future construction and development. In the context of todays continuous urbanization and high-speed capital flow, how to identify the development status and vitality characteristics is a prerequisite for creating a high-quality Central Activities Zone. Taking Shanghai Lujiazui sub-district etc. as an example, the vitality value of weekday and weekend as well as 19 indexes including density of functional facilities and building morphology is quantified by obtaining multi-source big data. Meanwhile, the correlation between various indexes and the vitality characteristics of the Central Activities Zone are tried to summarize in this paper. Finally, a neural network regression model is built to bridge the design scheme and vitality values to realize the prediction of the vitality of the Central Activities Zone. The data analysis method proposed in this paper is versatile and efficient, and can be well integrated into the urban big data platform and the City Information Modeling, and provides reliable reference suggestions for the real-time evaluation of future urban construction.
keywords multi-source big data; Central Activities Zone; Vitality; Lujiazui
series CAADRIA
email
last changed 2022/06/07 07:50

_id caadria2018_333
id caadria2018_333
authors Cupkova, Dana, Byrne, Daragh and Cascaval, Dan
year 2018
title Sentient Concrete - Developing Embedded Thermal and Thermochromic Interactions for Architecture and Built Environment
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 545-554
doi https://doi.org/10.52842/conf.caadria.2018.2.545
summary Historically, architectural design focused on adaptation of built environment to serve human needs. Recently embedded computation and digital fabrication have advanced means to actuate physical infrastructure in real-time. These 'reactive spaces' have typically explored movement and media as a means to achieve reactivity and physical deformation (Chatting et al. 2017). However, here we recontextualize 'reactive' as finding new mechanisms for permanent and non-deformable everyday materials and environments. In this paper, we describe our ongoing work to create a series of complex forms - modular concrete panels - using thermal, tactile and thermochromic responses controlled by embedded networked system. We create individualized pathways to thermally actuate these surfaces and explore expressive methods to respond to the conditions around these forms - the environment, the systems that support them, their interaction and relationships to human occupants. We outline the design processes to achieve thermally adaptive concrete panels, illustrate interactive scenarios that our system enables, and discuss opportunities for new forms of interactivity within the built environment.
keywords Responsive environments; Geometrically induced thermodynamics; Ambient devices; Internet of things; Modular electronic systems
series CAADRIA
email
last changed 2022/06/07 07:56

_id caadria2017_125
id caadria2017_125
authors Huang, Jian Ming
year 2017
title Integrating Computational Design and Traditional Crafts - A Reinvention of Bamboo Structures
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. 437-444
doi https://doi.org/10.52842/conf.caadria.2017.437
summary Abstract: This paper searches for an alternative design method of integrating traditional material craft and computational design. It begins by analyzing Chinese philosophical view of nature, and proposes a natural design built method. The paper demonstrates the idea with two bamboo structure projects. In China, bamboo is closely linked to culture values and traditional craftsmanship. The projects research on the formation logic of bamboo system, and employs computational design method to activate the system formation. The projects strive to investigate computational design with unique eastern characteristics, to find out how it can help to reinvent its traditional values, and to search for a unification of formation logic and material sensibility.
keywords Craftsmanship; materiality; form finding; bamboo
series CAADRIA
email
last changed 2022/06/07 07:50

_id caadria2017_113
id caadria2017_113
authors Huang, Weixin, Lin, Yuming and Wu, Mingbo
year 2017
title Spatial-Temporal Behavior Analysis Using Big Data Acquired by Wi-Fi Indoor Positioning System
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. 745-754
doi https://doi.org/10.52842/conf.caadria.2017.745
summary Understanding of people's spatial behavior is fundamental to architectural and urban design. However, traditional investigation methods applied in environmental behavior studies is highly limited regarding the amount of samples and regions it covers, which is not sufficient for the exploration of complex dynamic human behaviors and social activities in architectural space. Only recently the developments in indoor positioning system (IPS) and big data analysis technique have made it possible to conduct a full-time, full-coverage study on human environmental behavior. Among the variety IPS systems, the Wi-Fi IPS system is increasingly widely used because it is easy to be applied with acceptable cost. In this paper, we analyzed a 60-days anonymized data set, collected by a Wi-Fi IPS system with 110 Wi-Fi access points. The analysis revealed interesting patterns on people's behavior besides temporal spatial distribution, ranging from the cyclical fluctuation in human flow to behavioral patterns of sub-regions, some of which are not easy to be identified and interpreted by the traditional field observation. Through this case study, behavioral data from IPS system has exhibited great potential in bringing about profound changes in the study of environmental behavior.
keywords environmental behavior study; Wi-Fi; indoor positioning system; big data; spatial temporal behavior; ski resort
series CAADRIA
email
last changed 2022/06/07 07:50

_id caadria2017_086
id caadria2017_086
authors Koh, Immanuel, Keel, Paul and Huang, Jeffrey
year 2017
title Decoding Parametric Design Data - Towards a Heterogeneous Design Search Space Remix
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. 117-126
doi https://doi.org/10.52842/conf.caadria.2017.117
summary Designers or Non-Designers are not able to effectively access, view, search, discover, collect, reuse, remix and share parametric design data (PDD) for either professional or educational purposes. PDD here refers to the meta-data of 3D models generated by visual dataflow modelling software packages used in CAD/CAM industry. This ineffectiveness is a direct consequence of the deliberately proprietary nature of most PDD file formats and the restricted use within their respective desktop-based software environments. This paper presents an initial software prototype capable of automating the process of decoding a commonly used PDD file format and then re-encoding it with new set of metrics to facilitate multiple PDD searchability, comparability and interoperability, via an integrated web interface querying a design data repository. All PDDs are conceptualized as genealogies of numerical or geometric transformations and explicitly encoded with a graph-based data structure. The goal is to eventually learn from its own big data and begin to artificially generate novel PDDs heterogeneously.
keywords Design Decoder; Design Space Exploration; Parametric Design; Visual Analytics; Design Data
series CAADRIA
email
last changed 2022/06/07 07:51

_id acadia17_366
id acadia17_366
authors Lin, Yuming; Huang, Weixin
year 2017
title Behavior Analysis and Individual Labeling Using Data from Wi-Fi IPS
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 366- 373
doi https://doi.org/10.52842/conf.acadia.2017.366
summary It is fairly important for architects and urban designers to understand how different people interact with the environment. However, traditional investigation methods for studying environmental behavior are quite limited in their coverage of samples and regions, which are not sufficient to delve into the behavioral differences of people. Only recently, the development of indoor positioning systems (IPS) and data-mining techniques has made it possible to collect full-time, full-coverage data for behavioral difference research and individualized identification. In our research, the Wi-Fi IPS system is chosen among the various IPS systems as the data source due to its extensive applicability and acceptable cost. In this paper, we analyzed a 60-day anonymized dataset from a ski resort, collected by a Wi-Fi IPS system with 110 Wi-Fi access points. Combining this with mobile phone data and questionnaires, we revealed some interesting characteristics of tourists from different origins through spatial-temporal behavioral data, and further conducted individual labeling through supervised learning. Through this case study, temporal-spatial behavioral data from an IPS system exhibited great potential in revealing individual characteristics besides exploring group differences, shedding light on the prospect of architectural space personalization.
keywords design methods; information processing; data mining; big data
series ACADIA
email
last changed 2022/06/07 07:59

_id caadria2018_210
id caadria2018_210
authors Lin, Yuqiong, Zheng, Jingyun, Yao, Jiawei and Yuan, Philip F.
year 2018
title Research on Physical Wind Tunnel and Dynamic Model Based Building Morphology Generation Method
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 165-174
doi https://doi.org/10.52842/conf.caadria.2018.2.165
summary The change of the building morphology directly affects the surrounding environment, while the evaluation of these environment data becomes the main basis for the genetic iterations of the building morphology. Indeed, due to the complexity of the outdoor natural ventilation, multiple factors in the site could be the main reasons for the change of air flow. Thus, the architect is suggested to take the wind environment as the main morphology generation factor in the early stage of the building design. Based on the research results of 2017 DigitalFUTURE Wind Tunnel Visualization Workshop, a novel self-form-finding method in design infancy has been proposed. This method uses Arduino to carry out the dynamic design of the building model, which can not only connect the sensor to monitor the wind environment data, but also contribute the building model to correlate with the wind environment data in real time. The integration of the Arduino platform and the physical wind tunnel can create the possibility of continuous and real-time physical changes, data collection and wind environment simulation, using quantitative environmental factors to control building morphology, and finally achieve the harmony among the building, environment and human.
keywords Physical wind tunnel; dynamic model; building morphology generation; environmental performance design; wind environment visualization
series CAADRIA
email
last changed 2022/06/07 07:59

_id caadria2018_322
id caadria2018_322
authors Lu, Hangxin, Gu, Jiaxi, Li, Jin, Lu, Yao, Müller, Johannes, Wei, Wenwen and Schmitt, Gerhard
year 2018
title Evaluating Urban Design Ideas from Citizens from Crowdsourcing and Participatory Design
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 297-306
doi https://doi.org/10.52842/conf.caadria.2018.2.297
summary Participatory planning aims at engaging multiple stakeholders including citizens in various stages of planning projects. Adopting participatory design approach in the early stage of planning project facilitates the ideation process of citizens. We have implemented a participatory design study during the 2017 Beijing Design Week and have conducted an interactive design project called "Design your perfect Dashilar: You Place it!". Participants including local residents and visitors were asked to redesign the Yangmeizhu street, a historical street located in Dashilar area by rearranging the buildings of residential, commercial, administration, and cultural functionalities. Apart from using digital design tools, questionnaires, interviews, and sensor network were applied to collect personal preferences data. Computational approaches were used to extract features from designs and personal preferences. In this paper, we illustrate the implementation of the participatory design and the possible applications by combining with crowdsourcing. Participatory design data and citizens profiles with personal preferences were analysed and their correlations were computed. By using crowdsourcing and participatory design, this study shows that the digitalization of participatory design with data science perspective can indicate the implicit requirements, needs and design ideas of citizens.
keywords Participatory design; Crowdsourcing; Human computation; Citizen Design Science; Human Computer Interaction
series CAADRIA
email
last changed 2022/06/07 07:59

_id caadria2018_209
id caadria2018_209
authors Yao, Jiawei, Lin, Yuqiong, Zhao, Yao, Yan, Chao, Li, Changlin and Yuan, Philip F.
year 2018
title Augmented Reality Technology based Wind Environment Visualization
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 369-377
doi https://doi.org/10.52842/conf.caadria.2018.1.369
summary Considering the outdoor environment at the initial stage of design process plays a significant role on future building performance. Augmented Reality (AR) technology applied in this research can integrate real world building morphology information and virtual world ventilation information seamlessly that rapidly and directly provides designers information for observation and evaluation. During the case study of "2017 Shanghai DigitalFUTURE" summer workshop, a research on augmented reality technology based wind environment visualization was carried on. The achievement with an application software not only showed the geometric information of the real world objects (such as buildings), but also the virtual wind environment has displayed. Thus, these two kinds of information can complement and superimpose each other. This AR technology based software brings multiple synthetic together, which can (1) visualize the air flow around buildings that provides designers rapid and direct information for evaluation; (2) deal with wind-environment-related data quantitatively and present in an intuitive, easy-to-interpret graphical way; and (3) be further developed as a visualization system based on built-in environments in the future, which contributes to rapid evaluation of a series of programs at the beginning of the building design.
keywords Environment visualization; Augmented reality technology; Fast response; Outdoor ventilation
series CAADRIA
email
last changed 2022/06/07 07:57

_id caadria2017_048
id caadria2017_048
authors Zhang, Pengyu, Xu, Weiguo, Huang, Weixin, Zhu, Yufeng, Dai, Rui and Luo, Dan
year 2017
title Generative Design Based on Sponge Spicules' Forms
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. 509-518
doi https://doi.org/10.52842/conf.caadria.2017.509
summary A bio-based generative design approach is proposed with an application based upon sponge spicules. The approach aims to generate new valid architectural form finding methodology through the imitation of biological forms. The process includes five stages: Prototype Study, Imitation, Creation, Application and Fabrication. In the development of the approach, sponge spicules' forms, which are uniquely varied in the nature, are digitally imitated. Based on the imitation, a variety of formal outcomes are created. Some are suitable for architectural design and can be properly fabricated. Both the approach and the application on sponge spicules may contribute to the bio-based creative design exploration.
keywords Generative Design; Design Approach; Biomimicry; Sponge Spicules
series CAADRIA
email
last changed 2022/06/07 07:57

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