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_223
id	caadria2020_223
authors	Guo, Qi and Mei, Hongyuan
year	2020
title	Research on Spatial Distribution and Performance Evaluation of Mass Sports Facilities Based on Big Data of Social Media - A Case Study of Harbin
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. 537-546
doi	https://doi.org/10.52842/conf.caadria.2020.1.537
summary	The extensive application of Python script provides a new opportunity for the research on spatial distribution of mass sports facilities. The traditional way to obtain geography information of POI is by the crawler of API open platform, which needs accurate search content. Therefore, it is difficult to obtain the geography information of the mass sports facilities, which do not have specific category name. The paper took Harbin City in China as an example, combined the social network address text crawler and map websites crawler, accurately obtained the geographic information of mass sports facilities, and used ArcGIS to realize the visualization of the spatial distribution information. Combined with the information of Harbin population distribution, the paper evaluated the quantity spatial distribution and type spatial distribution of mass sports facilities by Lorentz curve and Global Moran's I, aiming to evaluate the health service performance of existing mass sports facilities and provide reference for the design and planning of sports facilities. The paper draws the conclusion that the distribution of mass sports buildings in Harbin is relatively average with the population distribution and the clustering of sports function types of mass sports buildings is obvious.
keywords	mass sports facilities; spatial distribution; crawler; Lorentz curve; Global Moranâ€™s I
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	caadria2020_222
id	caadria2020_222
authors	Sun, Chengyu and Hu, Wei
year	2020
title	A Rapid Building Density Survey Method Based on Improved Unet
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. 649-658
doi	https://doi.org/10.52842/conf.caadria.2020.2.649
summary	How to rapidly obtain building density information in a large range is a key problem for architecture and planning. This is because architectural design or urban planning is not isolated, and the environment of the building is influenced by the distribution of other buildings in a larger area. For areas where building density data are not readily available, the current methods to estimate building density are more or less inadequate. For example, the manual survey method is relatively slow and expensive, the traditional satellite image processing method is not very accurate or needs to purchase high-precision multispectral remote sensing image from satellite companies. Based on the deep neural network, this paper proposes a method to quickly extract large-scale building density information by using open satellite images platforms such as Baidu map, Google Earth, etc., and optimizes the application in the field of building and planning. Compared with the traditional method, it has the advantages of less time and money, higher precision, and can provide data support for architectural design and regional planning rapidly and conveniently.
keywords	building density; rapidly and conveniently; neural network
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2020_183
id	ecaade2020_183
authors	Zhao, Jiangyang, Lombardi, Davide and Agkathidis, Asterios
year	2020
title	Application of Robotic Technologies for the Fabrication Of Traditional Chinese Timber Joints
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 351-360
doi	https://doi.org/10.52842/conf.ecaade.2020.2.351
summary	The traditional Chinese building design was influenced by the climate and the sociogeographical conditions of the different regions in China. They were usually constructed out of wood relying on timber-joint based construction systems. Amongst the wide variety of the structural elements, the Dougong (bucket arch) is one of the most common components of traditional wooden framework buildings, presenting a high level of complexity. Parametric design and robotic technology enable new possibilities regarding its fabrication and application in contemporary architecture. Our paper will explore how the Dougong components could be reinvented through the use of parametric tools and robotic fabrication methods and thus applied to contemporary architectural structures. We will analyse and compare the properties of the original Dougong with the reinvented unit by using finite element analysis and digital optimization tools. Our findings will provide an insight into the traditional construction principles of the joint and how these can inform a design and fabrication framework for its application in contemporary buildings.
keywords	Dougong joint; timber structures; parametric design; robotic fabrication; optimization algorithm
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2020_089
id	ecaade2020_089
authors	Ardic, Sabiha Irem, Kirdar, Gulce and Lima, Angela Barros
year	2020
title	An Exploratory Urban Analysis via Big Data Approach: Eindhoven Case - Measuring popularity based on POIs, accessibility and perceptual quality parameters
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 309-318
doi	https://doi.org/10.52842/conf.ecaade.2020.2.309
summary	The cities are equipped with the data as a result of the individuals' sharings and application usage. This significant amount of data has the potential to reveal relations and support user-centric decision making. The focus of the research is to examine the relational factors of the neighborhoods' popularity by implementing a big data approach to contribute to the problem of urban areas' degradation. This paper presents an exploratory urban analysis for Eindhoven at the neighborhood level by considering variables of popularity: density and diversity of points of interest (POI), accessibility, and perceptual qualities. The multi-sourced data are composed of geotagged photos, the location and types of POIs, travel time data, and survey data. These different datasets are evaluated using BBN (Bayesian Belief Network) to understand the relationships between the parameters. The results showed a positive and relatively high connection between popularity - population change, accessibility by walk - density of POIs, and the feeling of safety - social cohesion. For further studies, this approach can contribute to the decision-making process in urban development, specifically in real estate and tourism development decisions to evaluate the land prices or the hot-spot touristic places.
keywords	big data approach; neighborhood analysis; popularity; point of interest (POI); accessibility; perceptual quality
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2020_464
id	sigradi2020_464
authors	Builes Vélez, Ana Elena; Celani, Pierfrancesco
year	2020
title	Application of the Sustainable Urban Environments model based on the Smart Outdoor approach in the city of Medellín
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 464-469
summary	The quality of an urban space significantly influences the habitability of a city. In an era where buildings are becoming more and more "intelligent", outdoor space needs to evolve to make it more welcoming and to allow it to be shared and appropriate, capable of expanding opportunities and functionality for the inhabitant who lives in it. In this context the COGITO project, is exploring ways to extend the cognitive logic typical of intelligent buildings to the urban space. We propose to appropriate the model developed in COGITO and apply it in a case study of the city of Medellin.
keywords	Smart Cities, Urban Space, Sustainability, Smart Outdoor
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	cdrf2019_36
id	cdrf2019_36
authors	Dan Luo, Joseph M. Gattas, and Poah Shiun Shawn Tan
year	2020
title	Real-Time Defect Recognition and Optimized Decision Making for Structural Timber Jointing
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_4
summary	Non-structural or out-of-grade timber framing material contains a large proportion of visual and natural defects. A common strategy to recover usable material from these timbers is the marking and removing of defects, with the generated intermediate lengths of clear wood then joined into a single piece of fulllength structural timber. This paper presents a novel workflow that uses machine learning based image recognition and a computational decision-making algorithm to enhance the automation and efficiency of current defect identification and rejoining processes. The proposed workflow allows the knowledge of worker to be translated into a classifier that automatically recognizes and removes areas of defects based on image capture. In addition, a real-time optimization algorithm in decision making is developed to assign a joining sequence of fragmented timber from a dynamic inventory, creating a single piece of targeted length with a significant reduction in material waste. In addition to an industrial application, this workflow also allows for future inventory-constrained customizable fabrication, for example in production of non-standard architectural components or adaptive reuse or defect-avoidance in out-of-grade timber construction.
series	cdrf
email
last changed	2022/09/29 07:51

_id	acadia20_658
id	acadia20_658
authors	Ho, Brian
year	2020
title	Making a New City Image
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 658-667.
doi	https://doi.org/10.52842/conf.acadia.2020.1.658
summary	This paper explores the application of computer vision and machine learning to streetlevel imagery of cities, reevaluating past theory linking urban form to human perception. This paper further proposes a new method for design based on the resulting model, where a designer can identify areas of a city tied to certain perceptual qualities and generate speculative street scenes optimized for their predicted saliency on labels of human experience. This work extends Kevin Lynch’s Image of the City with deep learning: training an image classification model to recognize Lynch’s five elements of the city image, using Lynch’s original photographs and diagrams of Boston to construct labeled training data alongside new imagery of the same locations. This new city image revitalizes past attempts to quantify the human perception of urban form and improve urban design. A designer can search and map the data set to understand spatial opportunities and predict the quality of imagined designs through a dynamic process of collage, model inference, and adaptation. Within a larger practice of design, this work suggests that the curation of archival records, computer science techniques, and theoretical principles of urbanism might be integrated into a single craft. With a new city image, designers might “see” at the scale of the city, as well as focus on the texture, color, and details of urban life.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393.
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2024_4
id	ecaade2024_4
authors	Irodotou, Louiza; Gkatzogiannis, Stefanos; Phocas, Marios C.; Tryfonos, George; Christoforou, Eftychios G.
year	2024
title	Application of a Vertical Effective Crank–Slider Approach in Reconfigurable Buildings through Computer-Aided Algorithmic Modelling
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 421–430
doi	https://doi.org/10.52842/conf.ecaade.2024.1.421
summary	Elementary robotics mechanisms based on the effective crank–slider and four–bar kinematics methods have been applied in the past to develop architectural concepts of reconfigurable structures of planar rigid-bar linkages (Phocas et al., 2020; Phocas et al., 2019). The applications referred to planar structural systems interconnected in parallel to provide reconfigurable buildings with rectangular plan section. In enabling structural reconfigurability attributes within the spatial circular section buildings domain, a vertical setup of the basic crank–slider mechanism is proposed in the current paper. The kinematics mechanism is integrated on a column placed at the middle of an axisymmetric circular shaped spatial linkage structure. The definition of target case shapes of the structure is based on a series of numerical geometric analyses that consider certain architectural and construction criteria (i.e., number of structural members, length, system height, span, erectability etc.), as well as structural objectives (i.e., structural behavior improvement against predominant environmental actions) aiming to meet diverse operational requirements and lightweight construction. Computer-aided algorithmic modelling is used to analyze the system's kinematics, in order to provide a solid foundation and enable rapid adaptation for mechanisms that exhibit controlled reconfigurations. The analysis demonstrates the implementation of digital parametric design tools for the investigation of the kinematics of the system at a preliminary design stage, in avoiding thus time-demanding numerical analysis processes. The design process may further provide enhanced interdisciplinary performance-based design outcomes.
keywords	Reconfigurable Structures, Spatial Linkage Structures, Kinematics, Parametric Associative Design
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ecaade2020_026
id	ecaade2020_026
authors	Lorenz, Wolfgang and Wurzer, Gabriel
year	2020
title	FRACAM: A 2.5D Fractal Analysis Method for Facades - Test Environment for a Cell Phone Application to Measure Box Counting Dimension
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 495-504
doi	https://doi.org/10.52842/conf.ecaade.2020.1.495
summary	Fractal analysis helps explaining and understanding architectural quality, e.g., regarding visual complexity described by fractal (box counting) dimension. FRACAM, a cell phone application, uses fractal image analysis methods and takes into account the specific requirements of architectural purposes at the same time. It was developed by the authors to measure the fractal dimension of buildings; more precisely, to measure (color or grayscale) images of (street) views. This paper examines the results of various implemented algorithms for dependencies on camera settings and environmental factors. The main contribution of the authors deals with both an improved differential box counting mechanism applied to color images and a discussion about measurement results concerning influences on the algorithms presented.
keywords	cell phone application; box counting; fractal dimension; visual complexity; elevation analysis
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2020_165
id	caadria2020_165
authors	Lorenz, Wolfgang E. and Wurzer, Gabriel
year	2020
title	FLÃ„VIZ in the rezoning process - A Web Application to visualize alternatives of land-use planning
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. 813-822
doi	https://doi.org/10.52842/conf.caadria.2020.1.813
summary	The rezoning process primarily deals with proposed changes on land-use and zoning plans. More and more often, the public is asked for its opinion and feedback. However, there are two main obstacles in today's practice: On the one hand land-use and zoning plans, in general, only define the potential of areas and so do proposed draft plans; they usually say nothing about the implementation of land-use in the built space. On the other hand, the untrained majority can hardly grasp the current form of representation as two dimensional plans with accompanying written information. In order to enable a wider public participation (and understanding), the authors present FLÃ„VIZ, a 3D visualization of potentials on land-use and zoning plans.
keywords	Alternative land-use and Zoning plans; Three JS; Visual Representation
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	sigradi2020_799
id	sigradi2020_799
authors	Martini, Sebastián; Chiarella, Mauro
year	2020
title	Reactive devices. Maker experience as a form of pedagogical innovation in formation of industrial designers
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 799-807
summary	In this presentation, the reflections about the application of an innovative cathedra experience for the formation of industrial designers will be exposed. It revolved around the development of what the cathedra team defines as "reactive devices", highlighting the role of the design into an educational proposal that is based on the principles of Maker culture. In this experience converge knowledge from different areas of knowledge, through a synergy of conventional and disruptive technologies that allow novel approaches of capture, analyze and understanding of the reality in the searching of a design for the transformation.
keywords	Maker culture, PBL, Curriculum, Interdisciplinary, Digital fabrication
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	caadria2020_334
id	caadria2020_334
authors	MarzÄ™cki, Waldemar
year	2020
title	Spatial Continuity Diagram
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. 577-586
doi	https://doi.org/10.52842/conf.caadria.2020.2.577
summary	The article presents the author's original Spatial Continuity Diagram SCD method. The method uses digital techniques to study the urban and architectural features of existing urban structures. The results of these studies are intended to facilitate design decisions regarding the harmonious development of existing urban buildings. The article also discusses a special software for conducting SCD study. The practical application of the research was discussed on the example of a design and implementation of one of the single-family housing estates.
keywords	Mathematical simulations; urban composition; spatial continuity; heritage
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ijac202018206
id	ijac202018206
authors	Mitterberger, Daniela and Tiziano Derme
year	2020
title	Digital soil: Robotically 3D-printed granular bio-composites
source	International Journal of Architectural Computing vol. 18 - no. 2, 194-211
summary	Organic granular materials offer a valid alternative for non-biodegradable composites widely adopted in building construction and digital fabrication. Despite the need to find alternatives to fuel-based solutions, current material research in architecture mostly supports strategies that favour predictable, durable and homogeneous solutions. Materials such as soil, due to their physical properties and volatile nature, present new challenges and potentials to change the way we manufacture, built and integrate material systems and environmental factors into the design process. This article proposes a novel fabrication framework that combines high-resolution three-dimensional- printed biodegradable materials with a novel robotic-additive manufacturing process for soil structures. Furthermore, the research reflects on concepts such as affordance and tolerance within the field of digital fabrication, especially in regards to bio-materials and robotic fabrication. Soil as a building material has a long tradition. New developments in earth construction show how earthen buildings can create novel, adaptive and sustainable structures. Nevertheless, existing large-scale earthen construction methods can only produce highly simplified shapes with rough geometrical articulations. This research proposes to use a robotic binder-jetting process that creates novel organic bio-composites to overcome such limitations of common earth constructions. In addition, this article shows how biological polymers, such as polysaccharides-based hydrogels, can be used as sustainable, biodegradable binding agents for soil aggregates. This article is divided into four main sections: architecture and affordance; tolerance versus precision; water-based binders; and robotic fabrication parameters. Digital Soil envisions a shift in the design practice and digital fabrication that builds on methods for tolerance handling. In this context, material and geometrical properties such as material porosity, hydraulic conductivity and natural evaporation rate affect the architectural resolution, introducing a design process driven by matter. Digital Soil shows the potential of a fully reversible biodegradable manufacturing process for load-bearing architectural elements, opening up new fields of application for sustainable material systems that can enhance the ecological potential of architectural construction.
keywords	Robotic fabrication, adaptive materials, water-based fabrication, affordance, organic matter, additive manufacturing
series	journal
email
last changed	2020/11/02 13:34

_id	sigradi2020_734
id	sigradi2020_734
authors	Nope Bernal, Alberto; Ramírez, Anna Gabriela; García Alvarado, Rodrigo; Forcael Durán, Eric
year	2020
title	DESIGN OF A NEARLY ZERO-ENERGY HOME WITH EXTREME COLLABORATION IN BIM
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 734-741
summary	The global request of energy politics and actions against climate change, reiterate the importance of promoting the nearly zero-energy buildings (nZEB), taking into account environmental habitability and comfort; therefore, this type of buildings has to include a process, design, and construction, intelligent. Accordingly, the present research shows a methodology for the design of almost zero-energy housing, by using BIM under an environment of extreme collaboration; evaluating energy consumption and active solar generation. Thus, the proposed methodology allows optimizing the processes related to design time, level of geometric development, and the application and evaluation of sustainability strategies, to achieve nearly zero-energy housing within the city Concepcion Chile.
keywords	Nearly Zero-energy Buildings, Building Information Modeling, Extreme Collaboration, Sustainability
series	SIGraDi
email
last changed	2021/07/16 11:52

_id	caadria2020_091
id	caadria2020_091
authors	Ren, Yue and Zheng, Hao
year	2020
title	The Spire of AI - Voxel-based 3D Neural Style Transfer
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. 619-628
doi	https://doi.org/10.52842/conf.caadria.2020.2.619
summary	In the architecture field, humans have mastered various skills for creating unique spatial experiences with unknown interplays between known contents and styles. Meanwhile, machine learning, as a popular tool for mapping different input factors and generating unpredictable outputs, links the similarity of the machine intelligence with the typical form-finding process. Style Transfer, therefore, is widely used in 2D visuals for mixing styles while inspiring the architecture field with new form-finding possibilities. Researchers have applied the algorithm in generating 2D renderings of buildings, limiting the results in 2D pixels rather than real full volume forms. Therefore, this paper aims to develop a voxel-based form generation methodology to extend the 3D architectural application of Style Transfer. Briefly, through cutting the original 3D model into multiple plans and apply them to the 2D style image, the stylized 2D results generated by Style Transfer are then abstracted and filtered as groups of pixel points in space. By adjusting the feature parameters with user customization and replacing pixel points with basic voxelization units, designers can easily recreate the original 3D geometries into different design styles, which proposes an intelligent way of finding new and inspiring 3D forms.
keywords	Form Finding; Machine Learning; Artificial Intelligence; Style Transfer
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2020_337
id	caadria2020_337
authors	Rubinowicz, Pawel
year	2020
title	Sustainable development of a cityscape using the Visual Protection Surface method - optimization of parameters for urban planning
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. 863-872
doi	https://doi.org/10.52842/conf.caadria.2020.1.863
summary	The article discusses computer techniques used to analyse a cityscape based on 3D models. The study focuses on the application of the Visual Protection Surface (VPS) method which enables to analyse the absorption capacity of a city as regards new investment while bearing in mind the goal of preserving a set of strategic views. The outcome of the process is a surface or a map which determines the maximum height of buildings. The goal of the study is to adjust VPS input to apply the method in urban planning. Analyses focused on the following VPS parameters: a) accuracy of 3D model, b) density of strategic views, and c) VPS resolution. They have been carried out based on the case study of Gdansk, Poland. The study shows which of the parameters are crucial for the quality of the outcome and time of the computation process. All simulations presented in the article have been developed based on the C++ program prepared by author.
keywords	3D city models; cityscape protection; computational urban analyses; urban heritage; VPS method
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2020_404
id	ecaade2020_404
authors	Singh, Manav Mahan, Schneider-Marin, Patricia, Harter, Hannes, Lang, Werner and Geyer, Philipp
year	2020
title	Applying Deep Learning and Databases for Energy-efficient Architectural Design - Abstract
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 79-87
doi	https://doi.org/10.52842/conf.ecaade.2020.2.079
summary	The reduction of energy consumption of buildings requires consideration in early design phases. However, modelling and computation time required for dynamic energy simulations makes them inappropriate in the early phases. This paper presents a performance prediction approach for these phases that is embedded in a multi-level-of-development modelling approach. First, parametric pre-trained modular deep learning components are embedded in the building elements. The energy performance is predicted by composing these components. Second, embodied energy assessment is performed by extracting the information from a database. A calculation module queries the database and calculates the embodied energy. Both, embodied and operational, energy are assembled to predict lifecycle energy demand. The method has been implemented prototypically in a digital modelling environment Revit. A case study serves to demonstrate the application process, the user interaction and the information flows. It shows energy prediction in early design phases to enhance the environmental performance of the building.
keywords	BIM; Operational Energy; Embodied Energy; Life-cycle Energy Demand; Early Design Phases
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2020_240
id	caadria2020_240
authors	Stojanovic, Djordje and Vujovic, Milica
year	2020
title	How to Share a Home - Towards Predictive Analysis for Innovative Housing Solutions
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. 547-556
doi	https://doi.org/10.52842/conf.caadria.2020.1.547
summary	Renewed interest in cohousing solutions is driven by the rapid population growth and a lack of affordable housing in many cities across the world. The home share has become more prevalent in recent years due to the cost benefits and social gains it provides. While it involves challenges primarily concerned with the usage of communal areas, the viability of this housing model increases with the advancement of technology enabling new tools for analysis and optimisation of spatial usage. This paper introduces a method of sensor application in the occupancy analysis to provide grounding for future studies and the implementation of advanced computational methods. The study focuses on the underexplored potential of the communal spaces and provides a method for the measuring of specific aspects of their usage. The study applies principles of mathematical set theory, to give a more conclusive understanding of how communal areas are used, and therefore contributes to the improvement of housing design. Presented outcomes include an algorithmic chart and a blueprint of a behavioural model.
keywords	Cohousing; Housing share; Post Occupancy Evaluation; Machine Learning ; Predictive Analysis
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2020_043
id	caadria2020_043
authors	Bai, Nan, Nourian, Pirouz, Xie, Anping and Pereira Roders, Ana
year	2020
title	Towards a Finer Heritage Management - Evaluating the Tourism Carrying Capacity using an Agent-Based Model
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. 305-314
doi	https://doi.org/10.52842/conf.caadria.2020.1.305
summary	As one of the most important areas in the Palace Museum, Beijing, China, the Hall of Mental Cultivation had suffered from overcrowding of visitors before it was closed in 2016 for conservation. Preparing for the reopening in 2020, the Palace Museum decided to take the chance and initiate finer-grained tourism management in the Hall. This research intends to provide an audio-guided touring program by dynamically evaluating the Tourism Carrying Capacity (TCC) with the highlight spots in the Hall, to operate the touring program spatiotemporally. Framing an optimization problem for the touring program, an agent-based simulator, Thunderhead Pathfinder, originally developed for evacuation in the emergency, is utilized to verify the performance of the touring system. The simulation shows that the proposed touring program could precisely fit all the key requirements to improve the visitors' experience, to guarantee heritage safety, and to ensure more efficient management.
keywords	Tourism Carrying Capacity; Agent-Based Simulation; Operations Research; Heritage Management
series	CAADRIA
email
last changed	2022/06/07 07:54

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