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	caadria2020_054
id	caadria2020_054
authors	Shen, Jiaqi, Liu, Chuan, Ren, Yue and Zheng, Hao
year	2020
title	Machine Learning Assisted Urban Filling
doi	https://doi.org/10.52842/conf.caadria.2020.2.679
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 679-688
summary	When drawing urban scale plans, designers should always define the position and the shape of each building. This process usually costs much time in the early design stage when the condition of a city has not been finally determined. Thus the designers spend a lot of time working forward and backward drawing sketches for different characteristics of cities. Meanwhile, machine learning, as a decision-making tool, has been widely used in many fields. Generative Adversarial Network (GAN) is a model frame in machine learning, specially designed to learn and generate image data. Therefore, this research aims to apply GAN in creating urban design plans, helping designers automatically generate the predicted details of buildings configuration with a given condition of cities. Through the machine learning of image pairs, the result shows the relationship between the site conditions (roads, green lands, and rivers) and the configuration of buildings. This automatic design tool can help release the heavy load of urban designers in the early design stage, quickly providing a preview of design solutions for urban design tasks. The analysis of different machine learning models trained by the data from different cities inspires urban designers with design strategies and features in distinct conditions.
keywords	Artificial Intelligence; Urban Design; Generative Adversarial Networks; Machine Learning
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	4dd6
authors	Bhavnani, S.K., Garrett, J. and Shaw, D.S.
year	1993
title	Leading Indicators of CAD Experience
source	CAAD Futures ‘93 [Conference Proceedings / ISBN 0-444-89922-7] (Pittsburgh / USA), 1993, pp. 313-334
summary	Current interfaces and help facilities of CAD systems are not designed to respond to a user's performance. To develop such adaptive environments, a better understanding of the indicators of CAD experience is required. This paper discusses the results of studying behavior patterns of different types and levels of CAD users for a specific drawing task. The results show that the type and experience of the CAD user has a clear correlation to the pattern of commands used, the time taken, and the quality of drawing produced. By using the experimental data to train a neural network, the paper demonstrates a connectionist approach for experience assessment. This information, it is proposed, can provide input to an adaptive interface which generates unobtrusive interception to improve the performance of a CAD user. Future experiments to explore the issues of generality and interception are presented.
keywords	CAD user Modeling, Adaptive Interface, Neural Networks
series	CAAD Futures
email
last changed	2003/11/21 15:16

_id	caadria2018_054
id	caadria2018_054
authors	Shen, Xiaofei
year	2018
title	Environmental Parametric Multi-Objective Optimization for High Performance Facade Design
doi	https://doi.org/10.52842/conf.caadria.2018.2.103
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. 103-112
summary	This paper demonstrates the applicability of a data-integrated and user-friendly Multi-Objective Optimization (MOO) method within the Grasshopper (GH) parametric design interface which supports early stage design decision making for High Performance Building (HPB) façade. With multiple environmental objectives optimized and multiple geometric parameters adjusted in the same intuitive design space, designers with limited knowledge on scripting could easily set up the nodes simultaneously when the design is carried out to achieve the efficiency in HPB design optimization. An experiment utilizing the method, with DIVA as the environmental simulator and Octopus as the MOO solver, is demonstrated for rational daylight distribution, balanced solar heat gain and reduced energy use intensity. The findings show both potentials and limitations of the proposed method.
keywords	Multi-Objective Optimization; Environmental Parametrics; Generative Design; High Performance Facade
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2021_029
id	ecaade2021_029
authors	Shen, Yuhui, Wang, Likai, Zhang, Ran, Tong, Ziyu and Ji, Guohua
year	2021
title	EvoMass + GH_Wind - An agile wind-driven building massing design optimization framework
doi	https://doi.org/10.52842/conf.ecaade.2021.1.477
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 477-486
summary	The complex interactive relationship between wind flow and building design poses a great challenge in architectural design. Recent research has been conducted to combine Computational Fluid Dynamics (CFD) and computational design optimization to solve the problem. However, due to the time-consuming simulation process and the assertion-oriented computational optimization application, such CFD-based design optimization frameworks are not easy to integrate with architects' early-stage design exploration. To address these issues, this paper proposes an agile wind-driven building massing design optimization framework incorporating EvoMass and GH_Wind in the Rhino-Grasshopper environment. EvoMass is an integrated evolutionary building massing design tool, and GH_Wind is a simulation tool embedded with a Fast Fluid Dynamics (FFD) solver. Combining these two tools allows for fast wind-driven design optimization, thereby enabling architects to apply it to early-stage design exploration. To demonstrate its efficacy, a case study is presented to illustrate how the proposed design optimization framework can provide architects with useful design information and, thereby, facilitate more performance-informed design for early-stage architectural design.
keywords	building massing design; performance-based design; design exploration; wind-driven design; Fast Fluid Dynamics; design optimization
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ddss2004_ra-85
id	ddss2004_ra-85
authors	Shen, Z.J. and M. Kawakami
year	2004
title	Visualization of Usable Building Space According to Planning Permission Ordinances for Public Participation in District Plan in Japan
source	Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) Recent Advances in Design & DecisionSupport Systems in Architecture and Urban Planning, Dordrecht: Kluwer Academic Publishers, ISBN: 1-4020-2408-8, p. 85-98
summary	The district plan in Japan is designed and implemented through public participation, which is based on the zone restrictions of land use system. The usable space of a building can be generated according to the zone restrictions implemented in a district plan, which include the planning controls of high altitude, oblique line and so on. Residents can choose control items as their preference in order to control the urban physical environment of the district. In this paper, we discuss how to generate the virtual world according to the data set of GIS including planning control items and how it can work for net participation. In the future, we would like to conduct an Internet social experiment with the cooperation of a city government and residents in order to support the district plan in a local city.
keywords	WEBGIS, JAVA3d, Planning restrictions, Public participation
series	DDSS
last changed	2004/07/03 22:13

_id	cdrf2021_55
id	cdrf2021_55
authors	Shengyu Meng
year	2021
title	Exploring in the Latent Space of Design: A Method of Plausible Building Facades Images Generation, Properties Control and Model Explanation Base on StyleGAN2
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_6
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	GAN has been widely applied in the research of architectural image generation. However, the quality and controllability of generated images, and the interpretability of model are still potential to be improved. In this paper, by implementing StyleGAN2 model, plausible building façade images could be generated without conditional input. In addition, by applying GANSpace to analysis the latent space, high-level properties could be controlled for both generated images and novel images outside of training set. At last, the generating and controlling process could be visualized with image embedding and PCA projection method, which could achieve unsupervised classification of generated images, and help to understand the correlation between the images and their latent vectors.
series	cdrf
email
last changed	2022/09/29 07:53

_id	ijac20109204
id	ijac20109204
authors	Shepherd, Paul; Roly Hudson, David Hines
year	2011
title	Aviva Stadium: A parametric success
source	International Journal of Architectural Computing vol. 9 - no. 2, 167-186
summary	The Aviva Stadium, Dublin, is the first stadium to be designed from start to finish using commercially available parametric modelling software. A single model in Bentley’s Generative Components was shared between architects and engineers, which allowed the optimised design of form, structure and fac_ade. The parametric software was extended where necessary to integrate with structural analysis and to automate fabrication. By reducing the overhead associated with design iterations, this approach allowed detailed exploration of options and early identification and resolution of potential problems. In this paper, the authors add to the body of scientific knowledge by describing in detail the methods which led to the construction of the Aviva Stadium.This paper is written in light of the completed building and provides information on the generation and control of the envelope geometry, development and analysis of structure and documentation for construction.Whilst these components have been discussed independently previously [1–4], here these aspects are drawn together for the first time and are presented alongside thoughts on the manufacturing and construction processes from the project architect.
series	journal
last changed	2019/05/24 09:55

_id	ecaade2012_057
id	ecaade2012_057
authors	Bielik, Martin ; Schneider, Sven ; König, Reinhard
year	2012
title	Parametric Urban Patterns: Exploring and integrating graph-based spatial properties in parametric urban modelling
doi	https://doi.org/10.52842/conf.ecaade.2012.1.701
source	Achten, Henri; Pavlicek, Jiri; Hulin, Jaroslav; Matejovska, Dana (eds.), Digital Physicality - Proceedings of the 30th eCAADe Conference - Volume 1 / ISBN 978-9-4912070-2-0, Czech Technical University in Prague, Faculty of Architecture (Czech Republic) 12-14 September 2012, pp. 701-708.
summary	The article presents a graph-based spatial analysis toolset (“decoding spaces”components) which we have recently developed as an extension of the visual scripting language Grasshopper3D for Rhino. These tools directly integrate spatial analysis methods into CAD design software which can have a signifi cant effect on current design workfl ows. However,grasshopper doesn’t only enable the results of analyses to be used in the standard Rhino modelling environment. It also makes it possible to integrate spatial analysis into a parametric design approach as discussed in this paper. The functionality of this toolset is demonstrated using a simple urban design scenario where we introduce the idea of parametric patterns based on graph-measures.
wos	WOS:000330322400074
keywords	Spatial analysis; parametric modelling; urban layout; design process; decoding spaces
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2020_072
id	caadria2020_072
authors	Sheth, Urvi and Fida, Aysha
year	2020
title	Funicular Structures using Topological Assemblies
doi	https://doi.org/10.52842/conf.caadria.2020.1.075
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 75-84
summary	Presented work is inspired by the research on funicular structures by Block Research Group and customising bricks by the first author. The research is focused on developing a mortarless construction system for funicular structures using topological assemblies on site. To make the proposed system financially viable in the India, it is suggested to limit the customisation of the topological modules. Topological assemblies interlock with its contact surfaces (Tessman, 2012). Further these force locked elements are kinematically constrained using an extrados post tensioning. As a result, the system is stable not only in complete compression, but it can also withstand lateral loads and vertical upliftment. Additionally, it is quick to assemble and dismantle the structure without foundation and by using minimum scaffolding. Therefore, the construction system can be used to build a range of temporary as well as permanent structures like temporary exhibition halls, emergency shelters, earthquake resistant structures, etc.
keywords	Funicular structures; Mortarless masonry ; Topological assembly; Interlocking modules; Limited customisation
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2024_198
id	caadria2024_198
authors	Shi, Zewei, Wang, Xiaoxin, Wang, Jinyu, Wang, Yu, Jian, Yixin, Huang, Chenyu and Yao, Jiawei
year	2024
title	A Method for Real-Time Prediction of Indoor Natural Ventilation in Residential Buildings
doi	https://doi.org/10.52842/conf.caadria.2024.1.009
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 9–18
summary	Against the backdrop of energy crises and climate change, performance-oriented architectural design is increasingly gaining attention. Early-stage assessment of natural ventilation performance is crucial for optimizing designs to enhance indoor environmental comfort and reduce building energy consumption. However, traditional numerical simulations are time-consuming, and existing data-driven surrogate models primarily focus on predicting partial indicators in indoor airflow or single-space airflow. Predicting the spatial distribution of airflow is more advantageous for addressing global issues in building layout design. This paper introduces a surrogate model based on Generative Adversarial Networks. We constructed a dataset of floor plans, with 80% of the data generated using parameterized methods and 20% sourced from real-world examples. We developed a 3D encoding method for the floor plans to facilitate machine understanding of spatial depth and structure. Finally, we conducted airflow simulations on the dataset, with the simulated results used to train the Pix2pix model. The results demonstrate that the Pix2pix model can predict indoor airflow distribution with high accuracy, requiring only 0.8 seconds. In the test set, the average values for MAPE, SSIM, and R2 are 2.6113%, 0.9798, and 0.9114, respectively. Our research can improve architectural design, enhance energy efficiency, and enhance residents' comfort, thereby contributing to the creation of healthier indoor environments.
keywords	generative residential buildings, natural indoor ventilation, early design stage, real-time prediction, generative adversarial networks (GAN)
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	cdrf2021_139
id	cdrf2021_139
authors	Shicong Cao1 and Hao Zheng
year	2021
title	A POI-Based Machine Learning Method for Predicting Residents’ Health Status
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_13
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	Health environment is a key factor in public health. Since people’s health depends largely on their lifestyle, the built environment which supports a healthy living style is becoming more important. With the right urban planning decisions, it’s possible to encourage healthier living and save healthcare expenditures for the society. However, there is not yet a quantitative relationship established between urban planning decisions and the health status of the residents. With the abundance of data and computing resources, this research aims to explore this relationship with a machine learning method. The data source is from both the OpenStreetMap and American Center for Decease Control and Prevention (CDC). By modeling the Point of Interest data and the geographic distribution of health-related outcome, the research explores the key factors in urban planning that could influence the health status of the residents quantitatively. It informs how to create a built environment that supports health and opens up possibilities for other data-driven methods in this field.
series	cdrf
email
last changed	2022/09/29 07:53

_id	cf2005_2_52_159
id	cf2005_2_52_159
authors	SHIH Naai-Jung and WU Ming-Chang
year	2005
title	A 3D Point-cloud-based Verification of As-built Construction Progress
source	Learning from the Past a Foundation for the Future [Special publication of papers presented at the CAAD futures 2005 conference held at the Vienna University of Technology / ISBN 3-85437-276-0], Vienna (Austria) 20-22 June 2005, pp. 193-202
summary	Point clouds were overlapped to reveal differences between two working days. The same type of comparison was made between 2003.2.11 and 2003.12.11. Comparisons between the original schedule and real schedule (the catch-up schedule) were also made. The overlapping test provides one of the most comprehensive checking methods of the as-built progress in a digital format. Examples show that the overlapping comparisons help identify the addition and removal of objects scanned from 50 meters away. The geometric information is feasible for construction inspection and records. Limitations and benefits of overlapping are discussed.
keywords	3D scan, construction technology, schedule
series	CAAD Futures
email
last changed	2005/05/05 07:06

_id	a537
authors	Bijl, Aart
year	1987
title	Strategies for CAD
source	Eurographics '87. 1987. (16) p. : ill. includes bibliography
summary	Assumptions for CAD are discussed, pointing to a distinction between human knowledge and machine representations of knowledge. Implications for future useful CAD systems are considered. A strategy for 'mechanistic' symbol processors is presented, employing 'mechanisms' of formal logic to manipulate written and drawn expressions of designers' knowledge
keywords	CAD, representation, knowledge, engineering, data structures, intelligence, logic, semantic networks, symbols, drawings, design
series	CADline
last changed	1999/02/12 15:07

_id	ab60
authors	Shih, Naai-Jung
year	1993
title	Planning Automation with a Relational Matrix
doi	https://doi.org/10.52842/conf.ecaade.1993.x.h8p
source	[eCAADe Conference Proceedings] Eindhoven (The Netherlands) 11-13 November 1993
summary	The purpose of this paper is to present a relational matrix of process, demands, and tools in automation as a framework in CAD education. Automating process is a closely related sequence of steps from clarifying demands, evaluating tools, operating study, purchasing equipment, training, maintaining, to renewing outdated equipment. Demands reflect a firm's expectation. Clarifying CAD demands is the first step in automating process, and clarified demands explicitly define the goal for automation. The demands include amount of work, content of changes, drawing specification, drawing generating process, data exchange, error-proving procedure, equipment management, training plans, etc. Proper selected tools facilitate automation process and ensure the efficiency and effectiveness in fulfilling a firm's demands. The selection is made according to the considerations associated with software, operating system, and hardware. In order to promote the CAD education in a new era, this matrix is introduced as a framework of automation.
series	eCAADe
last changed	2022/06/07 07:50

_id	2005_441
id	2005_441
authors	Biloria, Nimish
year	2005
title	Emergent Technologies and Design
doi	https://doi.org/10.52842/conf.ecaade.2005.441
source	Digital Design: The Quest for New Paradigms [23nd eCAADe Conference Proceedings / ISBN 0-9541183-3-2] Lisbon (Portugal) 21-24 September 2005, pp. 441-447
summary	The recurrent issue of materializing a responsive architectural spatiality, emergent, in its conception and the need for collaborative substantiation of the design process, utilizing a multidisciplinary approach towards developing intelligent architectonics are exemplified upon in this research paper through a design research experiments conducted by the author: Developing concept prototypes for electronic media augmented spatial skins. The augmented skin project exemplifies a synergetic merger of scientific investigations into the fields of bio-mimetics, control system, material technology and embedded computation techniques.
keywords	Control Systems; Real-Time Interactivity; Bio-Mimetics; Embedded Computation
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2023_93
id	caadria2023_93
authors	Shiksha, Shiksha, Shekhawat, Krishnendra, Rastogi, Sujay, Kondaveeti, Aishwarya and Duarte, Jose´ P.
year	2023
title	Rectangular Floorplans with Block Symmetry
doi	https://doi.org/10.52842/conf.caadria.2023.2.391
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 391–400
summary	The principle of symmetry has beneficial applications in architecture. Symmetry mainly creates order and equilibrium in complex designs. This study presents a graph theoretic approach for the automatic generation of rectangular floorplans with block symmetry. Existing graph theoretical approaches focus on the floorplan’s outer boundary design, different room shapes, and spatial arrangements. This paper introduces block symmetry as a new concept in floorplan generation. Based on this concept, an algorithm is proposed for generating a rectangular floorplan with rectangular blocks for a given adjacency graph if one exists. Further, suppose two blocks are required to be symmetric, i.e., of equal size. In that case, an optimisation framework is used to equate the widths and heights of the blocks, resulting in the generation of a rectangular floorplan with block symmetry. A GUI is provided for users to perform the automatic generation of floorplans.
keywords	symmetry, floorplans, graph theory, algorithm, linear optimisation
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2024_151
id	caadria2024_151
authors	Shimizu, Sayuri, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2024
title	Nighttime Outdoor Lighting Environment Design System Using Web-Based Mixed Reality to Reduce Light Pollution
doi	https://doi.org/10.52842/conf.caadria.2024.3.469
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 3, pp. 469–478
summary	In nighttime outdoor spaces, light pollution due to excessive artificial lighting, particularly from lighting emitting diode (LED) displays direct light, is a recognized issue. Mitigating light pollution necessitates a careful consideration of the impact of large-scale LED displays during the design phase. Therefore, it is crucial to accurately assess the luminance of direct light and its effects on the environment during the design phase through simulation. This study aims to realize a lighting simulation system targeting LED displays, which are prone to contribute to light pollution, as a lighting environment design system for nighttime outdoor spaces. The proposed system utilizes web-based mixed reality (MR) to simulate direct light accurately. We also conduct a comparative verification between the real LED and the model. With this system, design simulations using mobile devices become feasible at the spatial design stage of LED displays in the intended location. Additionally, adjustments to the luminance and size of the LED display model and the visualization of color and luminance in the real world are possible. Consequently, it is anticipated that this system will contribute to the reduction of light pollution from both landscape design and lighting engineering perspectives.
keywords	lighting simulation, nighttime outdoor space, LED vision, luminance, web real-time communication
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2010_066
id	ecaade2010_066
authors	Shin, Dongyoun; Seibert, Thomas; Walz, Steffen P.; Choe, Yoon; Kim, Sung Ah
year	2010
title	Energy Monitoring and Visualization System for U-ECO City: Designing a spatial information model for energy monitoring in the context of large amount data management on a web based platform
doi	https://doi.org/10.52842/conf.ecaade.2010.583
source	FUTURE CITIES [28th eCAADe Conference Proceedings / ISBN 978-0-9541183-9-6] ETH Zurich (Switzerland) 15-18 September 2010, pp.583-591
summary	U-Eco City is a research and development project initiated by the Korean government. The project’s objective is the monitoring and visualization of aggregated and real time states of various energy usages represented by location-based sensor data accrued from city to building scale. The platform’s middleware will retrieve geospatial data from a GIS database and sensor data from the individual sensory installed over the city and provide the browserbased client with the accommodated information suitable to display geolocation characteristics specific to the respective energy usage. The client will be capable of processing and displaying real time and aggregated data in different dimensions such as time, location, level of detail, mode of visualization, etc. Ultimately, this system will induce a citizen’s participation with the notion of energy saving, and be utilized as an interactive energy management system from a citizen to authorities responsible for designing or developing city infrastructure. The platform’s middleware has been developed into an operative, advanced prototype, alongside a Web-based client integrates and interfaces with the Google Earth and Google Maps plug-ins for geospatially referenced energy usage visualization and monitoring.
wos	WOS:000340629400063
keywords	Energy Monitoring; Data visualization; Ueco-City; Spacial information model; UIES
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ascaad2016_022
id	ascaad2016_022
authors	Birge, David; Sneha Mandhan and Alan Berger
year	2016
title	Dynamic Simulation of Neighborhood Water Use - A case study of Emirati neighborhoods in Abu Dhabi, UAE
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 197-206
summary	Being located in a hot, humid and arid bioregion, as well as having a unique religious and social context, the Gulf Cooperation Council cities pose significant challenges to the achievement of sustainable urban development. Using native neighborhoods in Abu Dhabi as a case study, this ongoing research aims to develop a design methodology which utilizes both qualitative and quantitative analysis towards the holistic, feedback driven design of new neighborhood typologies for the native population. This paper focuses on the methodology and application of a water use module which measures neighborhood scale indoor and outdoor water use, an area of simulation critical to developing sustainable neighborhoods for Arab cities, yet underrepresented within the literature. The water module comprises one part of a larger toolkit that aims to measure both environmental sustainability as well as social and cultural factors unique to the context of Abu Dhabi and the gulf region.
series	ASCAAD
email
last changed	2017/05/25 13:31

_id	cf2015_382
id	cf2015_382
authors	Shin, Jihye; Choi, Jungsik and Kim, Inhan
year	2015
title	Development of BIM performance measurement system for architectural design firms
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 382.
summary	Despite the effort of Korean government to vitalize BIM adoption in AEC industry, the domestic adoption of BIM is still in its initial step. Particular in design field where medium and small firms being the majority, shows lower level of BIM adoption. The primary reason for this can be considered as lacking of necessities caused by uncertain benefits of BIM. Therefore, it is time to develop the objectives, quantifiable and qualitative measurement system of BIM performances. The purpose of this study is to suggest the BIM Performance Measurement System for architectural design firms. In achieving this, the authors have developed Balanced Scorecard (BSC) and validated its appropriateness by questionnaire survey with experts and performing statistical analysis. This development can be contributed to the voluntary BIM adoption by visualizing the detailed benefit of BIM and to the improvement of enterprise competitiveness by facilitating management of design process and estimating future outcome.
keywords	Building Information Modeling (BIM), BIM adoption, BIM benefit, Performance Measurement System (PMS), Balanced Scorecard (BSC), Critical Success Factors (CSF), Key Performance Indicators (KPI).
series	CAAD Futures
email
last changed	2015/06/29 07:55

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