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	ecaade2023_71
id	ecaade2023_71
authors	Austern, Guy, Yosifof, Roei and Fisher-Gewirtzman, Dafna
year	2023
title	A Dataset for Training Machine Learning Models to Analyze Urban Visual Spatial Experience
doi	https://doi.org/10.52842/conf.ecaade.2023.2.781
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. 781–790
summary	Previous studies have described the effects of urban attributes such as the Spatial Openness Index (SOI) on pedestrians’ experience. SOI uses 3-dimensional ray casting to quantify the volume of visible space from a single viewpoint. The higher the SOI value, the higher the perceived openness and the lower the perceived density. However, the ray casting simulation on an urban-sized sampling grid is computationally intensive, making this method difficult to use in real-time design tools. Convolutional Neural Networks (CNN), have excellent performance in computer vision in image processing applications. They can be trained to predict the SOI analysis for large urban fabrics in real-time. However, these supervised learning models need a substantial amount of labeled data to train on. For this purpose, we developed a method to generate a large series of height maps and SOI maps of urban fabrics in New York City and encoded them as images using colour information. These height map - SOI analysis image pairs can be used as training data for a CNN to provide rapid, precise visibility simulations on an urban scale.
keywords	Visibility Analysis, Machine Learning, CNN, Perceived Density
series	eCAADe
email
last changed	2023/12/10 10:49

_id	sigradi2023_46
id	sigradi2023_46
authors	Barashkov, Julia
year	2023
title	Customising Urban Joy: Urban Planning Mechanisms for the Mass - Customisation of Cities, through the Quantifiable Nature of Joy Using Geo-tagged Social Media Data
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 31–42
summary	The paper examines citizen participation in a digitally-driven society and the disparity between desired and existing cities. It emphasises the need to transform cities into adaptable environments that respond to the needs of residents. Traditional top-down urban planning often fails to match the flexible nature of digitised urban residents. To address this, an agent-based model is employed, evaluating urban environments based on individual sentiment derived from social media API. The study case of Wittenberge, Germany, showcases the methodology, including the creation of a 3D digital twin using open data sources and generating agents with unique personalities from social media keywords. These agents' "life satisfaction score" reflects their ability to fulfil daily needs and preferences within a 20-minute walking radius.
keywords	Data-based urban design, Citizen participation, Agent-based modelling, Social media sentiment analysis, Co-creation in cities
series	SIGraDi
email
last changed	2024/03/08 14:06

_id	ecaade2023_211
id	ecaade2023_211
authors	Kalak, Dogan, Güleç Özer, Derya and Aydin, Serdar
year	2023
title	Experiencing Cultural Heritage Through Gamification – Mardin orphanage
doi	https://doi.org/10.52842/conf.ecaade.2023.2.671
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. 671–680
summary	This paper presents early-stage research about the role of gamification in experiencing cultural heritage strongly within the sociological context, specifically focusing on the transformation of the old orphanage located in the historical city center of Mardin. The study acknowledges the significance of the old orphanage as an architectural heritage exemplar, built of natural Mardin stone, situated within a unique historical and archaeological urban environment. However, it recognizes the challenges of preserving the building's heritage value, which necessitate surpassing the superficial restoration methods applied to adapt it into a hotel. The primary motivation of this research is to develop a method for creating a navigable and interactive virtual replica of the orphanage, centering on the processes and outcomes of transferring its heritage value. To achieve this, the paper initially outlines the documentation and analysis procedures employed, utilizing photogrammetry to capture the past and current states of the orphanage. Subsequently, participants engage with a gamified and realistic digital replica of the orphanage, involving task-based interactions and scenario-based experiences. The paper concludes by presenting preliminary results concerning participant reactions to the initial virtual model, delivered through a VR device. By raising awareness about the significance of restoring and preserving historical heritage, this study aims to positively impact the domains of tourism, education, and conservation. Furthermore, it intends to shed light on future research opportunities in the field of digital cultural heritage.
keywords	Gamification, Digital Cultural Heritage, Virtual Reality, VR Device, Photogrammetry, Mardin
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_205
id	ecaade2023_205
authors	Meeran, Ahmed and Joyce, Sam
year	2023
title	Rethinking Airport Spatial Analysis and Design: A GAN based data driven approach using latent space exploration on aerial imagery for adaptive airport planning
doi	https://doi.org/10.52842/conf.ecaade.2023.2.501
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. 501–510
summary	Airports require long term planning, balancing estimations of future demand against available airfield land and site constraints. This is becoming more critical with climate change and the transition to sustainable aviation fuelling infrastructure. This paper demonstrates a novel procedure using Satellite Imagery and Generative Learning to aid in the comparative analysis and early-stage airfield design. Our workflow uses a GAN trained on 2000 images of airports transforming them into a high-dimensional latent space capturing the typologies’ large-scale features. Using a process of projection and dimensional-reduction methods we can locate real-world airport images in the generative latent space and vice-versa. With this capability we can perform comparative “neighbour” analysis at scale based on spatial similarity of features like airfield configuration, and surrounding context. Using this low-dimensional 3D ‘airport designs space’ with meaningful markers provided by existing airports allows for ‘what if’ modelling, such as visualizing an airport on a site without one, modifying an existing airport towards another target airport, or exploring changes in terrain, such as due to climate change or urban development. We present this method a new way to undertake case study, site identification and analysis, as well as undertake speculative design powered by typology informed ML generation, which can be applied to any typologies which could use aerial images to categorize them.
keywords	Airport Development, Machine Learning, GAN, High Dimensional Analysis, Parametric Space Exploration, tSNE, Latent Space Exploration, Data Driven Planning
series	eCAADe
email
last changed	2023/12/10 10:49

_id	cdrf2023_235
id	cdrf2023_235
authors	Mohsen Kafaei, Jane Burry, Mehrnoush Latifi, Joseph Ciorciari
year	2023
title	Designing a Systematic Experiment to Investigate the Effect of Ambient Smell on Human Emotions in the Indoor Space; Introducing a Mixed-Method Approach
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_20
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	Studies have indicated that built environments affect all aspects of human life such as emotion, perception, behavior, health, and well-being (Cooper et al. 2011). Built environments are formed from the combination and juxtaposition of visible and invisible environmental variables. In recent years, common techniques such as virtual reality, augmented reality, digital twins, and artificial intelligence have enabled researchers in the field of architecture and urban design to simulate environmental conditions to investigate the impacts of environmental variables on humans. However, the studies conducted in this field of human comfort are mostly focused on the impact of environmental variables such as form, temperature, humidity, and sound, and in fewer studies, up-to-date methods and technologies have been used to simulate and investigate the impact of smell on humans. Most of the studies that have investigated the effect of ambient smell on humans, carried out in the discipline of architecture and urban design, have used traditional tools and methods (questionnaire, interview, observation) rather than advanced technology and tools drawing on neuroscientific knowledge and technique to measure the effectiveness of the ambient smell on human. They have used unmasked scents or real-world environments rather than being able to simulate environmental conditions. This article highlights the significance and necessity of employing simulation methods to investigate the impact of environmental smells on humans. Additionally, it presents the methodology of an experiment for studying the effect of indoor environment smells (with a case study of an office environment in the initial phases) on human emotions, utilizing a mixed-method approach. Analysis of some parts of the data from this experiment showed that exposure to the fragrance of the jasmine flower pleasant (flower) and the odor of the rotten orange peel (unpleasant) can cause changes in the electroencephalography (EEG) power across different bands among participants.
series	cdrf
email
last changed	2024/05/29 14:04

_id	ascaad2023_014
id	ascaad2023_014
authors	Natsheh, Bahijah
year	2023
title	Using Geographic Information Systems (GIS) to Locate Neighborhood Parks Based on their Catchment Area
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 424-440.
summary	The city of Amman suffers from a shortage of open spaces and parks, which are vital for increasing physical exercise, boosting the quality of life in a community, and stimulating social interaction. This problem draws attention to the absence of planning criteria in addition to the poor regulatory framework for the distribution and location selection of open spaces and parks and their proportions that are commensurate with the population of Amman, a critical issue that requires immediate planning solutions. This study focuses on using geographic information systems (GIS) to determine the optimal neighborhood park locations in Bader, one of Amman's districts, and collects data from specific documents about neighborhood parks, examples of guidelines, and criteria for distributing parks in different countries to determine the criteria and catchment area of neighborhood parks. Using ArcGIS 10.1's Network Analyst Tool and its applications on the catchment area and the network analysis, the study analyzes data on land use, population density, accessibility, and surrounding variables to determine catchment areas to analyze neighborhood park accessibility. The study results show that the selected case study, the Bader District, which is one of Amman's most densely populated areas, experienced an erroneous distribution of neighborhood parks due to a lack of established planning regulations, resulting in a shortage of the percentage of the district's open spaces and parks dedicated to the population comparable to international standards. The research emphasizes GIS's potential as a significant tool for urban planning and community development, as well as insights into how parks might be strategically positioned to improve a neighborhood's livability by identifying areas in the neighborhood underserved by current parks and prospective locations for additional parks. Consequently, criteria are proposed and applied to the case study, and new locations for any suggested future parks are selected based on catchment areas. It should be noted that the results of this research may apply to different categories of parks in various Greater Amman Municipality (GAM) locations.
series	ASCAAD
email
last changed	2024/02/13 14:34

_id	cdrf2023_273
id	cdrf2023_273
authors	Pixin Gong, Xiaoran Huang, Chenyu Huang, Shiliang Wang
year	2023
title	Modeling on Outdoor Thermal Comfort in Traditional Residential Neighborhoods in Beijing Based on GAN
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_23
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	With the support of new urban science and technology, the bottom-up and human-centered space quality research has become the key to delicacy urban governance, of which the Universal Thermal Climate Index (UTCI) have a severe influence. However, in the studies of actual UTCI, datasets are mostly obtained from on-site measurement data or simulation data, which is costly and ineffective. So, how to efficiently and rapidly conduct a large-scale and fine-grained outdoor environmental comfort evaluation based on the outdoor environment is the problem to be solved in this study. Compared to the conventional qualitative analysis methods, the rapidly developing algorithm-supported data acquisition and machine learning modelling are more efficient and accurate. Goodfellow proposed Generative Adversarial Nets (GANs) in 2014, which can successfully be applied to image generation with insufficient training data. In this paper, we propose an approach based on a generative adversarial network (GAN) to predict UTCI in traditional blocks. 36000 data samples were obtained from the simulations, to train a pix2pix model based on the TensorFlow framework. After more than 300 thousand iterations, the model gradually converges, where the loss of the function gradually decreases with the increase of the number of iterations. Overall, the model has been able to understand the overall semantic information behind the UTCI graphs to a high degree. Study in this paper deeply integrates the method of data augmentation based on GAN and machine learning modeling, which can be integrated into the workflow of detailed urban design and sustainable construction in the future.
series	cdrf
email
last changed	2024/05/29 14:04

_id	ecaade2023_39
id	ecaade2023_39
authors	Reaver, Kai
year	2023
title	Policy considerations for Extended Reality (XR) implementation in Urban Planning and the Built Environment
doi	https://doi.org/10.52842/conf.ecaade.2023.2.713
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. 713–722
summary	In this paper, we discuss innovation policy for the implementation of extended reality (XR) to the urban planning sector and within the built environment. XR allows human users to evaluate urban planning proposals from first-person, embodied vantage points at realistic scale, offering utility for solving problems in the urban planning and design sector, particularly in user participation, user feedback and communication. However, we find that a clear model for the integration of XR technology to urban planning is lacking, with best practices and funding mechanisms still yet to be identified, creating barriers hindering adoption. We present an analysis of the innovation system and economic incentives for XR development, pointing to challenges for wide scale adoption in XR, including the creation of compelling content and the necessity for regulatory oversight. We discuss innovation structures in urban planning, pointing to an unclear strategy for innovation and the lack of research incentives within these institutions. We propose that public-private partnerships including cross-disciplinary development opportunities across sectors will need to be developed to better apply XR to urban planning, while discussing some of the advantages to be found for XR developers in creating content within urban environments. We further suggest that integration between XR and the regulatory and procedural rules of zoning may be necessary to ensure that XR technology is beneficial to society while also allowing XR developers exposure to a broad consumer base. In conclusion, we present policy proposals for collaboration between private technology companies and public planning organizations, with a focus on ensuring that XR technology is developed and applied in a way that is aligned with the priorities and objectives of the public while still creating value for investors and innovators.
keywords	Extended Reality (XR), Virtual Reality (VR), Augmented Reality (AR), Urban Planning, Built Environment, Policy
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_91
id	ecaade2023_91
authors	Rezakhani, Mojgan and Kim, Sung-Ah
year	2023
title	Utilizing Web Applications for Developing Digital Twin: Case study urban tunnel with kinetic roof
doi	https://doi.org/10.52842/conf.ecaade.2023.2.791
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. 791–800
summary	The integration of web technology within digital twin technology enables the ability to design collaboratively and transmit changes in real time between participating online users. Platforms such as Autodesk Platform Services (APS) - formerly Forge - have made it possible to create and share digital twins, which can be used to monitor, analyze data, and automate design. A gap exists in understanding how movement models combine with coding, particularly within kinetic architecture. In order to fill this gap, we have presented an APS application providing web-based visualization capabilities. This extension allows for the collection of real-time data from sensors located at a tunnel site, which is then sent to the cloud for analysis. This data can be used to manage risk circumstances and track the overall well-being of the kinetic roof tunnel. The methodology used in this study includes prototyping and experimentation using a case study that centers on a 3D model. Our model differs from the APS model’s default system in that it emphasizes the presence of kinetic objects, and was prototyped in a use case, which will be later applied to real case studies. To overcome technical limitations in web-based modeling, editable geometry vertices are essential for flexible parametric changes, and automated data transfer is crucial. This research will contribute to the development of web-based systems for digital twins that include kinetic elements, and that is expected to be useful for professionals in the field of architecture, engineering, and construction, as well as researchers and students in the field of kinetic architecture.
keywords	Digital twin, Autodesk Platform Services (APS), Web, Kinetic
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_28
id	ecaade2023_28
authors	Shabtay, Ran, Navarro, Diego and Muntanola Thornberg, Josep
year	2023
title	Walkability as a Factor in the 15-minute City: A Comparative Analysis of Barcelona's Neighborhoods
doi	https://doi.org/10.52842/conf.ecaade.2023.2.771
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. 771–780
summary	Recent developments in urban design models have led to the current model of the 15-minute city. The 15-minute model describes a human-centric strategy that allows every citizen in every neighborhood to reach their daily needs within a 15-minute walk. This method addresses key value principles such as- proximity, accessibility, walkability, and time-based design. Some aspects of this model impact its clarification and effectiveness worldwide. The main problem is the model’s generalist use of terms and lack of clarity and specification. This paper aims to (1) Implement the walkscore analysis based on the 15-minute city and (2) Apply it to a specific case study of Sant Marti neighborhood in east Barcelona to deliver an in-depth method using simulation, automation, and data implementation processes of the amenity's location and function. Using computational design tools and open-source GIS data, this investigation will contribute to the future theoretical and practical toolbox development of key ideas of the 15-minute city economically, socially, physically, and environmentally. It will also allow for early-stage analysis of different stakeholders such as urbanists, policymakers, planners, and designers.
keywords	Urban Design, Computational Design, Walkability, Accessibility, Proximity, 15-minute City, Chrono Urbanism
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_215
id	ecaade2023_215
authors	Sheikh, Abdullah and Crolla, Kristof
year	2023
title	Architectural Education with Virtual Reality
doi	https://doi.org/10.52842/conf.ecaade.2023.1.159
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 1, Graz, 20-22 September 2023, pp. 159–168
summary	This paper discusses educational and technical knowledge extracted from the development and implementation of teaching material for an elective course offered to both undergraduate and graduate students at The University of Hong Kong, which aimed to increase technical proficiency with Virtual Reality (VR) tools in Architecture design and education. VR is relatively underused and under-implemented in architectural education and practice due to the broad and diverse number of technical solutions available. Lack of open software workflows in this field limits ways in which designers can visualise models in a VR experience and evaluate their work at a 1:1 scale. The elective course aimed to address this, creating designer-specific workflows along with a larger overview of technical solutions available. Knowledge disseminated through guided exercises led to the introduction of options for independent student-driven research into VR-driven digital design projects. Technical knowledge was therefore transferred through integrated digital interaction embodied into the design process. Unreal Engine (5.03) was used as the main development environment for VR, with the addition of new features such as Lumen lighting and Nanite geometry. The Nvidia Omniverse allowed for seamless integration between Unreal Engine and Rhinoceros 3D, as well as many other apps using connectors. Connector usage allows importing and exporting models and data between the two platforms, allowing them a more intuitive ability to switch between tools and subsequently live link between software's and even include external sensor data. This paper documents and evaluates the knowledge gained of software workflows. Evaluation of produced student work is considered through factors of ease of interface, open nature of tools, and potential for altering the typical design workflow. Analysis provides an insight into the effectiveness of proposed workflows. Subsequent reflection and documentation aim to serve as a possible case study to encourage further incorporation of VR tools into architectural education.
keywords	Virtual Reality, Simulation, Architectural education, Design interaction, Live data transfer
series	eCAADe
email
last changed	2023/12/10 10:49

_id	cdrf2023_163
id	cdrf2023_163
authors	Wentao Zeng, Hanyi Zhang
year	2023
title	A Virtual Reality Window View Evaluation Tool for Shading Devices and Exterior Landscape Design
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_14
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	The window view is an important part of the daylighting design. The current window view analysis based on daylighting metrics does not respond well to user preferences. This study uses an office with a courtyard in Berkeley, CA, USA, as a case study to create a virtual reality-based window view evaluation tool and workflow to analyze the impact of different types of shading devices and different levels of exterior landscapes on user perception. This tool combines quantitative data based on daylighting metrics and users’ subjective and physical responses with qualitative analysis based on user feedback and preferences. A two-way ANOVA was conducted in the study to demonstrate that the independent and interactive impacts of shading devices and exterior landscapes on user perception and satisfaction. The results show that users prefer shading types that block less of window views even though they may cause a higher probability of glare. Besides, advanced landscapes tend to enhance user satisfaction with shading devices. This new window evaluation method will help architects make more comprehensive decisions in shading device type selection and exterior landscape design.
series	cdrf
email
last changed	2024/05/29 14:04

_id	caadria2023_70
id	caadria2023_70
authors	Al-Douri, Firas, Yan, Wei and Jahic, Edin
year	2023
title	Campusim: An Integrated Parametric BIM for Campus Design Simulation and Optimization
doi	https://doi.org/10.52842/conf.caadria.2023.2.471
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. 471–480
summary	Although simulation models have been recently employed to model and examine pedestrian behavior in urban areas, comparable research has not been pursued in campus environments despite their importance as a critical area of inquiry. Those models' paucity and methodological limitations suggest investigating new research and design strategies to objectively assess and describe how the qualities of campus spaces and zones influence human behavior and, hence, predict the patterns of users' interaction and space usage. Those patterns and their impact on health have been pointed out as critical to the relationship among public space and quality of life due to Covid-19. There is an urgent need to develop decision support tools that would support interactive design processes and enhance the quality of open space design in terms of sense of space, place-making, and user interaction. To that goal, this study has proposed the integrated parametric BIM-based campus life simulation "CampuSIM" as a method for parametrization of the qualities of pedestrian campus zones and spaces. The study proposed the use of multi-objective optimization methods to fulfill various campus quantifiable and non-quantifiable design objectives. The significance of the proposed tool will result from its potential application in a wide range of complex, dynamic pedestrian behavior scenarios such as flows, social simulations, and design.
keywords	Campus Modelling, Campus Master Planning, Campus Design, Parametric Modelling, BIM, Design Optimization
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	sigradi2023_39
id	sigradi2023_39
authors	Borges, Marina, Karantino, Lucas and Gorges, Diego
year	2023
title	Walkability: Digital Parametric Process for Analyzing and Evaluating Walkability Criteria in Peripheral Central Regions of Belo Horizonte
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 397–408
summary	According to one of the Sustainable Development Goals (UN, 2018), it is important for cities to be inclusive, safe, resilient, and sustainable. Therefore, it is necessary to value pedestrians and consequently active mobility, giving priority to the concepts of the Transportation Oriented Development (TOD) methodology. Although the Master Plan (BELO HORIZONTE, 2019) proposes that areas located in regional centralities are enhancing active mobility, can residents actually benefit from these resources at a walkable distance to access basic services? Thus, the aim of this research is to utilize digital technologies to visualize, analyze, and assess pedestrians' access conditions to commerce and basic services, identifying areas lacking infrastructure. The goal is for the model to serve as a reference for the development of public policies. To achieve this, metadata was used for parametric modeling to study walkability in the peripheral region of the city of Belo Horizonte.
keywords	Walkability, Urban Data Analysis, Urban Design, Parametric Urbanism, Algorithmic Logic
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	sigradi2023_38
id	sigradi2023_38
authors	Borges, Marina, Portugal, Ana Paula, Gorges, Diego and Oliveira, Bernardo Virgílio
year	2023
title	Urban Performance: Parametric Digital Process for Simulation and Analysis of Occupancy in Regional Centralities Areas of Belo Horizonte
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1633–1644
summary	The present study aims to explore the urgent issue of urban expansion and its impact on cities, with a specific focus on the regional centrality areas of Belo Horizonte. The main contribution of this work is the development of a parametric model to assess the environmental impact of intensive occupation in these areas and verify their compliance with sustainable development criteria. The study directly addresses the challenges arising from rapid urbanization, offering a digital approach to analyze and simulate the impact of intensive urban occupation in the regional centrality areas. As a methodology, we used georeferenced data, the Grasshopper parametric modeling software, and the Ladybug plugin for environmental simulations, effectively combining empirical information and computational tools to obtain significant results related to the impacts resulting from the proposed densification.
keywords	Urban Data Analysis, Urban Design, Parametric Urbanism, Sustainability, Parametric Modeling.
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	ascaad2023_084
id	ascaad2023_084
authors	Borges, Marina; Portugal, Ana Paula; Gorges, Diego
year	2023
title	Urban Performance: Parametric Digital Process for Simulation and Analysis of Occupancy in Regional Centralities Area of Belo Horizonte
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 242-252.
summary	The present study aims to explore the urgent issue of urban expansion and its impact on cities, with a specific focus on the regional centrality areas of Belo Horizonte. The main contribution of this work is the development of a parametric model to assess the environmental impact of intensive occupation in these areas and verify their compliance with sustainable development criteria. The study directly addresses the challenges arising from rapid urbanization, offering a digital approach to analyze and simulate the impact of intensive urban occupation in the regional centrality areas. As a methodology, we used georeferenced data, the Grasshopper parametric modeling software, and the Ladybug plugin for environmental simulations, effectively combining empirical information and computational tools to obtain significant results related to the impacts resulting from the proposed densification.
series	ASCAAD
email
last changed	2024/02/13 14:40

_id	acadia23_v2_398
id	acadia23_v2_398
authors	Callahan, Bryant
year	2023
title	Specularia: Spectral Dayighting Simulation in CEA- A Rhino Grasshopper Plugin for Spectral Daylight Simulation and Analysis in Controlled Environment Agriculture
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 398-407.
summary	This project, Specularia, develops a modeling tool allowing daylight to be simulated and assessed for plant-centric metrics (fig. 1) in discrete projects, including the spec- tral composition of light with regard to region, climate, weather, building envelope, and surrounding context. By accurately simulating the quality of daylight for both people and plants, new ways of designing spaces emerge that offer a hybrid way of thinking about agricultural elements in urban environments.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	ecaade2023_31
id	ecaade2023_31
authors	Canli, Ilkim, Gursel Dino, Ipek and Kalkan, Sinan
year	2023
title	Useful Daylight Illuminance Prediction Under Data Imbalance in an Urban Context
doi	https://doi.org/10.52842/conf.ecaade.2023.2.599
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. 599–608
summary	Optimal daylight illumination can aid sustainable design by improving occupants’ psychological and physical health, visual and thermal comfort and decreasing electrical lighting energy usage in buildings. However, dense urban areas can result in restricted daylight access in buildings. Therefore, daylight analysis considering surrounding buildings is important for implementing daylighting strategies. Useful Daylight Illuminance (UDI) is a performance metric that can quantify the annual illuminance levels within certain illumination classes (UDIfell-short, UDIsupplementary, UDIautonomous, and UDIexceeded). UDI can be predicted using machine-learning (ML) methods. However, the calculated data is typically unevenly distributed, generally following a power-law distribution, which causes ML models to underperform for UDI classes with less data. Simulations can be utilized to increase the less dispersed data in the dataset; however, at the urban scale, the computational cost of collecting simulation data for daylighting analysis makes it difficult to augment data with simulations. To undertake this challenge, in this study, SMOTE (Synthetic Minority Oversampling Technique) was applied to augment data to increase the prediction performance of the ML model. The results showed that augmenting the data in the classes which are unevenly distributed leads to an increase in ML model prediction performance. This method shows that SMOTE can be used to increase the performance of ML models during UDI estimation at the urban scale.
keywords	Daylight Illumination, Machine Learning Prediction, Useful Daylight Illuminance, Data Imbalance
series	eCAADe
email
last changed	2023/12/10 10:49

_id	sigradi2023_404
id	sigradi2023_404
authors	Carvalho, Tainah, Becker, Newton, Guedes, Joana, Medeiros, Joao Victor, Deodato, Joao Pedro and Appleyard, Maria
year	2023
title	Landscape Information Modeling for vulnerable landscape recovery: the case of Bom Jardim in Fortaleza, Ceará, Brazil
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 113–124
summary	Even with the difficulty of implementing NBS for EbA as a solution due to the inconsistent documentation of past experiences and heavy dependence on local, ecological and social conditions, would it be possible to implement NBS that incorporate the needs of each place? This paper shows the experience of the implementation of a NBS in an urban area, in the context of “Present City Project”, using parametric modeling to simulate outcomes during the planning process. The algorithm used inputs to develop a multi-criteria analysis capable of translating urban complexity. The result of this process is a comprehensive map identifying the most efficient locations for implementing GI based on the provided data and the streets suitable for interventions with NBS as well as their water absorption capacity. Throughout the process of submitting the "Present City Project," the algorithm played a pivotal role as an essential tool for raising public awareness.
keywords	Parametric Analysis, Nature Based Solutions, Landscape Information Modeling, Sustainable Design, Water Resources
series	SIGraDi
email
last changed	2024/03/08 14:06

_id	ecaade2023_472
id	ecaade2023_472
authors	Charitonidou, Marianna
year	2023
title	Urban Scale Digital Twins Vis-a-Vis Complex Phenomena: Datafication and social and environmental equity
doi	https://doi.org/10.52842/conf.ecaade.2023.2.821
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. 821–830
summary	The paper analyses the role of the urban scale digital twins in conceiving and designing urban spaces. Urban scale digital twins are virtual replicas of cities. Within the current context of data-driven societies, they are often used to test scenarios related to sustainable environmental design. An important reorientation concerning the role of the urban scale digital twins in urban planning is that from technical to the socio-technical perspectives. The debates on Smart Cities often focus on technical issues, neglecting the social issues concerning urban planning. At the core of the paper is the idea that in order to combine environmental equity and social equity, it is pivotal to bring together the social and the technical viewpoints of urban planning. This can become possible through the adoption of socio-technical perspectives. The paper explores the role of complexity perspectives based on new types of urban data in reshaping urban planning decision making methods. It pays special attention to datafication, Smart Cities, digital exclusion, Big Data, IoT, AI, Machine Learning, automated data collection, and data analytics. It also investigates how urban scale digital twins can measure, describe and analyze complex phenomena. Particular emphasis is placed on how urban scale digital twins help develop new data driven scenarios, promote sustainable development goals, and shape new participatory design methods. At the center of the paper are the following main characteristics of urban scale digital twins: firstly, their ‘scalability’; secondly, their ‘predictability’, which becomes possible thanks to the use of simulation algorithms; thirdly, their capacity to integrate new elements thanks to the use of IoT sensors, and data undated concerning in situ real-time data, and, finally, their capacity to enhance cooperation due to the fact that they can be broadly accessible.
keywords	urban scale digital twins, datafication, Smart Cities, social equity, environmental equity, Big Data, IoT, AI, Machine Learning, automated data collection, data analytics
series	eCAADe
email
last changed	2023/12/10 10:49

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