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

PDF papers
References

Hits 1 to 20 of 576

Reformat results as: short short into frame detailed detailed into frame

_id	ijac201715301
id	ijac201715301
authors	Afsari, Kereshmeh; Charles Eastman and Dennis Shelden
year	2017
title	Building Information Modeling data interoperability for Cloud-based collaboration: Limitations and opportunities
source	International Journal of Architectural Computing vol. 15 - no. 3, 187-202
summary	Collaboration within Building Information Modeling process is mainly based on the manual transfer of document files in either vendor-specific formats or neutral format using Industry Foundation Classes. However, since the web enables Cloud-based Building Information Modeling services, it provides an opportunity to exchange data with web technologies. Alternative data sharing solutions include the federation of Building Information Modeling models and an interchange hub for data exchange in real time. These solutions face several challenges, are vendor locked, and integrate Building Information Modeling applications to a third new system. The main objective of this article is to investigate current limitations as well as opportunities of Cloud interoperability to outline a framework for a loosely coupled network-based Building Information Modeling data interoperability. This study explains that Cloud-Building Information Modeling data exchange needs to deploy major components of Cloud interoperability such as Cloud application programming interfaces, data transfer protocols, data formats, and standardization to redefine Building Information Modeling data flow in Cloud-based applications and to reshape collaboration process.
keywords	Building Information Modeling, Cloud, data exchange, interoperability, Industry Foundation Classes
series	journal
email
last changed	2019/08/07 14:03

_id	acadia17_138
id	acadia17_138
authors	Berry, Jaclyn; Park, Kat
year	2017
title	A Passive System for Quantifying Indoor Space Utilization
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. 138-145
doi	https://doi.org/10.52842/conf.acadia.2017.138
summary	This paper presents the development of a prototype for a new sensing device for anonymously evaluating space utilization, which includes usage factors such as occupancy levels, congregation and circulation patterns. This work builds on existing methods and technology for measuring building performance, human comfort and occupant experience in post-occupancy evaluations as well as pre-design strategic planning. The ability to collect data related to utilization and occupant experience has increased significantly due to the greater accessibility of sensor systems in recent years. As a result, designers are exploring new methods to empirically verify spatial properties that have traditionally been considered more qualitative in nature. With this premise, this study challenges current strategies that rely heavily on manual data collection and survey reports. The proposed sensing device is designed to supplement the traditional manual method with a new layer of automated, unbiased data that is capable of capturing environmental and social qualities of a given space. In a controlled experiment, the authors found that the data collected from the sensing device can be extrapolated to show how layout, spatial interventions or other design factors affect circulation, congregation, productivity, and occupancy in an office setting. In the future, this sensing device could provide designers with real-time feedback about how their designs influence occupants’ experiences, and thus allow the designers to base what are currently intuition-based decisions on reliable data and evidence.
keywords	design methods; information processing; smart buildings; IoT
series	ACADIA
email
last changed	2022/06/07 07:52

_id	ecaade2017_100
id	ecaade2017_100
authors	Daniotti, Bruno, Lupica Spagnolo, Sonia, Mirarchi, Claudio, Pasini, Daniela and Pavan, Alberto
year	2017
title	An Italian BIM-based portal to support collaborative design and construction - A case study on an enhanced use of information relying on a classification system and computational technical datasheets
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 67-76
doi	https://doi.org/10.52842/conf.ecaade.2017.2.067
summary	A great amount of information needs to be managed along the building life cycle in order to fulfil building codes, standards and regulations, client and user requirements. However, a lack of transparency in the information management and a lack of communication between stakeholders often bring to the adoption of solutions in the design process that do not meet the original requirements. Therefore, an ordered structure for information improves its storage, enhancing its visibility, traceability, usability and re-usability. In addition, for public works contracts and design contests, the use of specific electronic tools, such as building information electronic modelling tools, is often required for the information management. The paper presents the efforts devoted within the Italian building sector for proposing a standardized structure and developing tools for collecting, sharing and exchanging information between stakeholders involved in different stages of the building process. An enhanced use of information relying on the adoption of the standardized structure of information is presented, proposing dedicated applications for automating the process of information fruition.
keywords	BIM-based portal; Standardized information; Computational technical datasheets
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia17_284
id	acadia17_284
authors	Hu, Zhengrong; Park, Ju Hong
year	2017
title	HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation
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. 284-291
doi	https://doi.org/10.52842/conf.acadia.2017.284
summary	Post-Occupancy Evaluation (POE) as an integrated field between architecture and sociology has created practical guidelines for evaluating indoor human behavior within a built environment. This research builds on recent attempts to integrate datafication and machine learning into POE practices that may one day assist Building Information Modeling (BIM) and multi-agent modeling. This research is based on two premises: 1) that the proliferation of Bluetooth Low Energy (BLE) technology allows us to collect a building user’s data cost-effectively and 2) that the growing application of machine learning algorithms allows us to process, analyze and synthesize data efficiently. This study illustrates that the mobile platform HalO can serve as a generic tool for datafication and automation of data analysis of the movement of a building user. In this research, the iOS mobile application HalO, combined with BLE beacons enable building providers (architects, developers, engineers and facility managers etc.) to collect the user’s indoor location data. Triangulation was used to pinpoint the user’s indoor positions, and k-means clustering was applied to classify users into different gathering groups. Through four research procedures—Design Intention Analysis, Data Collection, Data Storage and Data Analysis—the visualized and classified data helps building providers to better evaluate building performance, optimize building operations and improve the accuracy of simulations.
keywords	design methods; information processing; data mining; IoT; AI; machine learning
series	ACADIA
email
last changed	2022/06/07 07:49

_id	ecaade2017_172
id	ecaade2017_172
authors	Brand?o, Filipe, Paio, Alexandra and Whitelaw, Christopher
year	2017
title	Mapping Mass Customization
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 417-424
doi	https://doi.org/10.52842/conf.ecaade.2017.2.417
summary	Mass customization (MC) and personal fabrication (PF) are current relevant topics in architecture offices practice and schools design research. Architects are adopting information based design and production techniques as a response to architectural century challenges. However, is not clear how various authors used and transformed the concept in practice, research and industry after three decades since the MC term was introduced by Davis (1987). Therefore, is essential to map the most relevant works in the field in relation to production and design control. The paper presents some of the results of the ongoing study through an evolving map that aims to visualize relationships, layering complexity and revealing difference.
keywords	Mass Customization; Personal Fabrication; Housing; Map
series	eCAADe
email
last changed	2022/06/07 07:54

_id	cf2017_137
id	cf2017_137
authors	Ensari, Elif; Kobas, Bilge; Sucuo?lu, Can
year	2017
title	Computational Decision Support for an Airport Complex Roof Design: A Case Study of Evolutionary Optimization for Daylight Provision and Overheating Prevention
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. 137-149.
summary	This study focuses on generating geometric design alternatives for an airport roof structure with an evolutionary design method based on optimizing solar heat gain and daylight levels. The method incorporates a parametric 3D model of the building, a multi objective genetic algorithm that was linked with the model to iteratively test for various geometric solutions, a custom module that was developed to simulate solar conditions, and external energy simulation environments that was used to validate the outcomes. The integral outcome was achieved through an iterative workflow of many software tools, and the study is significant in dealing with several space typologies at the same time, taking real-life constraints such as applicability, ease of operation, construction loads into consideration, and satisfying design and aesthetic requirements of the architectural design team.
keywords	Evolutionary algorithms, daylight and energy performance, multi-objective optimization
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	caadria2017_127
id	caadria2017_127
authors	Herr, Christiane M. and Fischer, Thomas
year	2017
title	Challenges to the Adoption of BIM in the Chinese AEC Industries - An Extended BIM Adoption Model
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. 179-187
doi	https://doi.org/10.52842/conf.caadria.2017.179
summary	Despite strong encouragement by government guidelines and promoting efforts by the software industry, BIM is adopted at relatively slow speeds in construction industries across the world. The study presented in this paper examines the challenges to BIM adoption faced in particular in the Chinese construction industry across architecture, engineering and construction. We review recent literature addressing BIM adoption, develop a critique of common approaches to BIM adoption, and then propose our own, extended model to describe and assess BIM adoption processes. To demonstrate the model's suitability to evaluate temporal and collaborative dimensions during BIM adoption processes, we present results from a detailed survey we conducted among Chinese AEC professionals based on the extended model of BIM adoption and discuss how current Chinese BIM adoption in practice diverges from overseas BIM adoption strategies.
keywords	BIM; Chinese construction practice; BIM workflow; cross-disciplinary collaboration; AEC
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	ecaade2017_301
id	ecaade2017_301
authors	Kalantari, Saleh and Ghandi, Mona
year	2017
title	Data-responsive Architectural Design Processes
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 503-512
doi	https://doi.org/10.52842/conf.ecaade.2017.2.503.2
summary	Current advancements in information technology and mechanical components offer incredible new possibilities for innovation in architecture. Many aspects of our physical environment are becoming integrated with information systems, a phenomenon that has been referred to as the "Internet of Things." The implications and applications of this technology are far-reaching, and students who are learning about design in today's environment have a bewildering array of new tools available for their exploration. This paper reviews some of the central concepts of contemporary data-driven design, and describes how these concepts can be used in a pedagogical framework to encourage student innovation. The authors provide details about their work with students in IDR Studios, and highlight some of the innovative design solutions created by students using information-based toolsets. This research provides a pedagogical framework for helping design students to engage with new technological resources as they work to develop the architectural intelligence.
keywords	Adaptive Systems; Internet of Things; Big Data; Data Driven Design Process
series	eCAADe
email
last changed	2022/06/07 07:52

_id	cf2017_492
id	cf2017_492
authors	Kocabay, Serkan; Alaçam, Sema
year	2017
title	Algorithm Driven Design: Comparison of Single-Objective and Multi-Objective Genetic Algorithms in the Context of Housing Design
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. 492-508.
summary	This paper aims to present a dynamic multi objective genetic algorithm (MOGA) framework for the purpose of generating 3D mass models in the context of housing design. The proposed MOGA framework contains static and dynamic modules such as regulations, environmental condition analysis as static, behavioral models, designer-specified goals, domain-specific goals based on building types as dynamic modules. Moreover comparison of two algorithmic approaches, implementation of a single and multiple objective genetic algorithms are compared in terms of variety and usability of the generated design solutions, fitness approximation performances and the speed of the algorithms (running time). In the scope of this study, the potentials andlimitations of the proposed MOGA framework in 3D form generation, its advantages over single objective genetic algorithm are discussed, conducted with a case study.
keywords	Multi-objective, Genetic Algorithm, Housing Design, Mass-model
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	acadia17_330
id	acadia17_330
authors	Krietemeyer, Bess; Bartosh, Amber; Covington, Lorne
year	2017
title	Shared Realities: A Method for Adaptive Design Incorporating Real-Time User Feedback using Virtual Reality and 3D Depth-Sensing Systems
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. 330- 339
doi	https://doi.org/10.52842/conf.acadia.2017.330
summary	When designing interactive architectural systems and environments, the ability to gather user feedback in real time provides valuable insight into how the system is received and ultimately performs. However, physically testing or simulating user behavior with an interactive system outside of the actual context of use can be challenging due to time constraints and assumptions that do not reflect accurate social, behavioral, or environmental conditions. Employing evidence based, user-centered design practices from the field of human–computer interaction (HCI) coupled with emerging architectural design methodologies creates new opportunities for achieving optimal system performance and design usability for interactive architectural systems. This paper presents a methodology for developing a mixed reality computational workflow combining 3D depth sensing and virtual reality (VR) to enable iterative user-centered design. Using an interactive museum installation as a case study, user pointcloud data is observed via VR at full scale and in real time for a new design feedback experience. Through this method, the designer is able to virtually position him/herself among the museum installation visitors in order to observe their actual behaviors in context and iteratively make modifications instantaneously. In essence, the designer and user effectively share the same prototypical design space in different realities. Experimental deployment and preliminary results of the shared reality workflow are presented to demonstrate the viability of the method for the museum installation case study and for future interactive architectural design applications. Contributions to computational design, technical challenges, and ethical considerations are discussed for future work.
keywords	design methods; information processing; hci; VR; AR; mixed reality; computer vision
series	ACADIA
email
last changed	2022/06/07 07:52

_id	ecaade2017_144
id	ecaade2017_144
authors	Lange, Christian J.
year	2017
title	Elements \| robotic interventions II
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 671-678
doi	https://doi.org/10.52842/conf.ecaade.2017.1.671
summary	Reviewing the current research trends in robotic fabrication around the world, the trajectory promises new opportunities for innovation in Architecture and the possible redefinition of the role of the Architect in the industry itself. New entrepreneurial, innovative start-ups are popping up everywhere challenging the traditional model of the architect. However, it also poses new questions and challenges in the education of the architect today. What are the appropriate pedagogical methods to instill enthusiasm for new technologies, materials, and craft? How do we avoid the pure application of pre-set tools, such as the use of the laser cutter has become, which in many schools around the world has caused problems rather than solving problems? How do we teach students to invent their tools especially in a society that doesn't have a strong background in the making? The primary focus of this paper is on how architectural CAAD/ CAM education through the use of robotic fabrication can enhance student's understanding, passion and knowledge of materiality, technology, and craftsmanship. The paper is based on the pedagogical set-up and method of an M. Arch I studio that was taught by the author in fall 2016 with the focus on robotic fabrication, materiality, traditional timber construction systems, tool design and digital and physical craftsmanship.
keywords	CAAD Education, Digital Technology, Craftsmanship, Material Studies, Tool Design, Parametric Modeling, Robotic Fabrication
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2017_077
id	ecaade2017_077
authors	Mekawy, Mohammed and Petzold, Frank
year	2017
title	Exhaustive Exploration of Modular Design Options to Inform Decision Making
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 107-114
doi	https://doi.org/10.52842/conf.ecaade.2017.2.107
summary	Europe is facing an increasing demand for new construction, which is pushing the industry away from traditional construction technology towards prefabrication and Mass-Customization. However, prefabrication-based construction requires a more efficient, better informed decision making process due to the increased difficulty of on-site variations. Furthermore, the lack of means to navigate the whole spectrum of solutions for a given design problem using traditional tools, and the absence of the manufacturer's input in the early phases of the project can present significant challenges for the efficiency of the design and construction process. As a way to face these challenges, this paper presents an approach, realized as an Autodesk Dynamo-for-Revit package called Box Module Generator (BMG), which enables the exhaustive generation of configurations for a given building based on a construction scheme that utilizes Box Prefabricates. The output can be sorted, dissected and explored by users in various ways and the building geometry can be generated automatically in a Building Information Modeling environment. This makes it possible for the projects' stakeholders to browse thousands of potential design alternatives, which would otherwise be very hard to explore manually, or using traditional parametric modelers.
keywords	Prefabrication; Box Prefabricates; Design Tools; Design Automation; Building Information Modeling; Dynamo
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ecaade2017_163
id	ecaade2017_163
authors	S?rensen, Jesper Bendix and Svidt, Kjeld
year	2017
title	BIM-based Multiuser Collaborative Virtual Environments for end user involvement
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 111-118
doi	https://doi.org/10.52842/conf.ecaade.2017.1.111
summary	This paper examines the potential of utilizing virtual mock-ups in end user involvement processes. To access if virtual mock-ups can optimize existing processes, current workflows using physical full-scale mock-ups on several projects are explored. Requirements regarding the traditional workflows are captured through a series of interviews and observational studies. The identified use hereof is then analyzed and consolidated into system requirements and visions of a potential virtual supplement. Based on the identified requirements, a live prototype is developed supporting multiuser experiences in interactive environments through multiple and various devices such as CAVEs, HMD´s and touch devices supporting multi touch co-creation. Finally, the prototype is tested together with end users in ongoing projects to validate the potential of virtual mock-ups and to further detail the requirements to such a system.
keywords	User Involvement; Virtual full-scale Mock-ups; Virtual Reality; Co-creation
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
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. 327–336
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	cf2019_009
id	cf2019_009
authors	Veloso, Pedro; Jinmo Rhee and Ramesh Krishnamurti
year	2019
title	Multi-agent space planning: a literature review (2008-2017)
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 52-74
summary	In this paper we review the research on multi-agent space planning (MASP) during the period of 2008-2017. By MASP, we refer to space planning (SP) methods based on online mobile agents that map local perceptions to actions in the environment, generating spatial representation. We group two precedents and sixteen recent MASP prototypes into three categories: (1) agents as moving spatial units, (2) agents that occupy a space, and (3) agents that partition a space. In order to compare the prototypes, we identify the occurrence of features in terms of representation, objectives, and control procedures. Upon analysis of occurrences and correlations of features in the types, we present gaps and challenges for future MASP research. We point to the limits of current systems to solve spatial conflicts and to incorporate architectural knowledge. Finally, we suggest that behavioral learning offers a promising path for robust and autonomous MASP systems in the architectural domain.
keywords	Space planning; Agent-based modeling; Multi-agent systems; Generative systems
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	caadria2017_001
id	caadria2017_001
authors	He, Yi, Schnabel, Marc Aurel, Chen, Rong and Wang, Ning
year	2017
title	A Parametric Analysis Process for Daylight Illuminance - The Influence of Perforated Facade Panels on the Indoor Illuminance
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. 417-424
doi	https://doi.org/10.52842/conf.caadria.2017.417
summary	BIM modelling systems and graph-based modelling systems have been widely used in the architecture design process recently. Based on the systems, an alternative approach to study the influence of perforated façade panels on the indoor illuminance by using a parametric performance analysis in a practical architectural project is proposed. The workflow we developed makes the modelling process faster, more accurate, and easier to modify. From the circulation of modelling-to-analysis process, the performance can be compared, feedback can be generated. Accordingly, optimized design can be concluded. This study suggests an analysis method to evaluate the indoor illuminance performance in the early design stages. The simulation is not a conventional typical in-depth one, but a practical method to immediately evaluate the performance for each design alternative and provide guidelines for design modification. Moreover, the first generation of digital modeling programs allow designers to conceive new forms, and allow these forms to be controled and realized. It reacts to the conference theme by presenting a protocol for a digital workflow in the early stage of the design development.
keywords	Daylight illuminance; BIM; parametric sustainability; parametric modelling; facade panels
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	caadria2017_030
id	caadria2017_030
authors	Wang, Shuo, Zhao, Yuezhe and Wu, Shuoxian
year	2017
title	Seat Selection System for Theatres and Concert Halls Based on Audio-Visual Integration Technology
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. 157-165
doi	https://doi.org/10.52842/conf.caadria.2017.157
summary	It is of great significance to establish the virtual visual/audio simulation in building environment or indoor auditorium, as this is also a key issue which has drawn attention from other research fields including computer-aided design, virtual reality and acoustic simulation. This paper introduces the architecture and realization of a seat selection system based on audio-visual integration technology and the subjective preference test based on the seat selection system. The visual/audio subjective evaluation experiments on Xiamen Concert Hall and Ferrara Opera House were carried out, the experiments show that visual-audio factors have impact on the visual-audio preference and subjective evaluation of concert halls and theatres. The combined effect of acoustic and non-acoustic parameters (such as visual factors) on hearing and the perception of acoustics is also discussed in the paper.
keywords	Virtual Building Environment; Audio-Visual Integration; Subjective Preference of Seats
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2017_011
id	ecaade2017_011
authors	Haeusler, M. Hank, Asher, Rob and Booth, Lucy
year	2017
title	Urban Pinboard - Development of a platform to access open source data to optimise urban planning performance
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 439-448
doi	https://doi.org/10.52842/conf.ecaade.2017.1.439
summary	In this paper we present our research to design and develop 'Urban Pinboard', a platform to optimise urban planning process and performance. We argue that second machine age general purpose technologies can now be accessed for city modelling. Based on the observation that: GIS does offer a depository that can display urban data; data sets exist but often stored at different locations; there is a discrepancy of access to planning information; and the data often are not accessible to private / public sector and the general public on one location, Urban Pinboard aims to address these problems as an integrated digital platform that enables the public, private and community sectors to connect by contributing ideas, comments and proposals on all planning issues in a single platform. The paper outlines the background research, methodology and introduces the Urban Pinboard's features to create a single source of truth for planning data.
keywords	Software development; web-based GIS platform; Urban Planning; planning data
series	eCAADe
email
last changed	2022/06/07 07:49

_id	caadria2017_105
id	caadria2017_105
authors	Janssen, Patrick
year	2017
title	Evolutionary Urbanism - Exploring Form-based Codes Using Neuroevolution Algorithms
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. 303-312
doi	https://doi.org/10.52842/conf.caadria.2017.303
summary	Form-Based Codes are legal regulations adopted by local government that allow specific urban forms to be achieved. Such codes have a significant impact on the performative potential of the urban environment. This paper explores the possibility of using a neuroevolution algorithm to elucidate the complex relationship between Form-based Codes and their performative potential. More specifically, Compositional Pattern Producing Networks (CPPN) are used to generate parameter fields, which then drive the generation of varied urban models. For evolving the CPPN networks, a neuroevolution algorithm is used, called Neuroevolution of Augmenting Topologies (NEAT). In order to test the feasibility of the proposed approach, an abstract experiment is described in which a population of urban models are evolved, optimising a set of performance criteria related to the vista and location of the residential units.
keywords	Form-based codes; evolutionary design; neural networks; neuroevolution; urban planning
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2017_192
id	ecaade2017_192
authors	Pak, Burak and Ag-ukrikul, Chotima
year	2017
title	Participatory Evaluation of the Walkability of two Neighborhoods in Brussels - Human Sensors versus Space Syntax
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 553-560
doi	https://doi.org/10.52842/conf.ecaade.2017.2.553
summary	In this paper, we further develop and test a walkability evaluation method developed by the first author to understand two neighborhoods in Brussels. This method introduced alternative strategies and tools for enabling the evaluation of walkability and discussed how a structured collection of human experiences could lead to a social construct of walkability. In this study, following this method, we made a field survey with architecture students to measure the walkability of the two referenced neighborhoods. In addition, considering the close links of walkability with the physical layout and configuration, we made a Space Syntax analysis (visual integration and axial connectivity) and compared this with the walkability ratings made by the students. As a result, we found moderate to high correlations between the experiential evaluation of the students and the Space Syntax results. Besides establishing links between subjective and computational surveys, this study led to the conception of a web-based platform with a mobile app which integrates location-based experiential and computational evaluations of walkability.
keywords	Walkability; Human sensors; Experiential Knowledge; Field Survey; Space Syntax
series	eCAADe
email
last changed	2022/06/07 08:00

For more results click below: