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	sigradi2022_298
id	sigradi2022_298
authors	Perry, Isha N.; Xue, Zhouyi; Huang, Hui-Ling; Crispe, Nikita; Vegas, Gonzalo; Swarts, Matthew; Gomez Z., Paula
year	2022
title	Human Behavior Simulations to Determine Best Strategies for Reducing COVID-19 Risk in Schools
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 39–50
summary	The dynamics of COVID-19 spread have been studied from an epidemiological perspective, at city, country, and global scales (Rabajante, 2020, Ma, 2020, and Giuliani et al., 2020), although after two years of the pandemic we know that viruses spread mostly through built environments. This study is part of the Spatiotemporal Modeling of COVID-19 spread in buildings research (Gomez, Hadi, and Kemenova et al., 2020 and 2021), which proposes a multidimensional model that integrates spatial configurations, temporal use of spaces, and virus characteristics into one multidimensional model. This paper presents a specific branch of this model that analyzes the behavioral parameters, such as vaccination, masking, and mRNA booster rates, and compares them to reducing room occupancy. We focused on human behavior, specifically human interactions within six feet. We utilized the multipurpose simulation software, AnyLogic, to quantify individual exposure to the virus, in the high school building by Perkins and Will. The results show how the most effective solution, reducing the occupancy rates or redesigning layouts, being the most impractical one, is as effective as 80% of the population getting a third boost.
keywords	Spatiotemporal Modeling, Behavior Analytics, COVID-19 Spread, Agent-Based Simulation, COVID-19 Prevention
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	sigradi2022_145
id	sigradi2022_145
authors	Gulec Ozer, Derya; Erdil, Fatih; Kidis, Koray
year	2022
title	A Pre-Evaluation Tool for Interior Designs of High-Rise Office Buildings by User Movement Simulation after Covid’19
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 27–38
summary	User movement optimization has become a more crucial design parameter in high-rise office interior design after the Covid’19 pandemic. This study aims to develop a pre-evaluation tool using vertical and horizontal user movement simulation in a high-rise building; to guide the pre-design phase of an office interior. Agent-based simulation software (AnyLogic v8.7.10) analyzes the relationship between circulation, design elements, and space. First, initial design which is created by the interior design team is evaluated by this simuation; later different interior design alternatives are simulated and tested to compare the results. Therefore, early design decisions taken by the design team are subject to change, reducing user intensity in specific locations throughout the day. This study concluded that the simulations' results can be integrated into the design decisions by the design team to develop effective interior designs led by new office design parameters after Covid’19.
keywords	Agent-Based Systems, Multi-Level Wayfinding, Occupancy Schedule, Path Planning, Building Traffic Simulation
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	ijac202220109
id	ijac202220109
authors	Ortner, F. Peter; Jing Zhi Tay
year	2022
title	Resilient by design: Informing pandemic-safe building redesign with computational models of resident congestion
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 129–144
summary	This paper describes a computational design-support tool created in response to safe-distancing measures enforced during the COVID-19 pandemic. The tool was developed for a specific use case: understanding congestion in crowded migrant worker dormitories that experienced high rates of COVID-19 transmission in 2020. Building from agent-based and network-based computational simulations, the tool presents a hybrid method for simulating building resident movements based on known or pre-determined schedules and likely itineraries. This hybrid method affords the design tool a novel approach to simultaneous exploration of spatial and temporal design scenarios. The paper demonstrates the use of the tool on an anonymised case study of a high-density migrant worker dormitory, comparing results from a baseline configuration against design variations that modify dormitory physical configuration and schedule. Comparisons between the design scenarios provide evidence for reflections on pandemic-resilient design and operation strategies for dor- mitories. A conclusions section considers the extent to which the model and case study results are applicable to other dense institutional buildings and describes the paper’s contributions to general understanding of configurational and operational aspects of resilience in the built environment.
keywords	Design for resilience, evidence-based design, design support, agent-based model, schedule-based model, network analysis
series	journal
last changed	2024/04/17 14:29

_id	caadria2022_47
id	caadria2022_47
authors	An, Yudi
year	2022
title	Impact of Covid-19 on Associations between Land Use and Bike-Sharing Usage
doi	https://doi.org/10.52842/conf.caadria.2022.1.605
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 605-614
summary	Bike-sharing as a human-centred, zero-emission, sustainable, alternative, and easily accessible transport mode has been implemented globally and consistently contributing to communities and the environment by alleviating consumption of natural sources, traffic congestion, and air pollution, which is considered a solution for future cities. The appearance of Covid-19 significantly impacts public transportation modes, including the bike-sharing system. The intention of this study was to investigate the spatiotemporal impact of the Covid-19 pandemic on associations between urban factors and bike-sharing usage in Los Angeles, United States, by analysing a sizeable actual trip dataset and employing geographically weighted regression (GWR) models. GWR was conducted for examining the varying spatial association between bike infrastructure, public transport, and urban land use factors, and bike-sharing trip volume. The results indicated that bike-sharing usage significantly decreased during the pandemic and essential service as restaurant was found consistently and positively associated with bike-sharing use. GWR provided clear spatial patterns of bike usage based on urban land use and big user databases. The outcomes of this study could inspire policymakers and shared mobility operators to support these safe, sustainable transport alters (such as rebalancing bike stations), help city resilience, and shape a sustainable future of mobility in the post-Covid-19 era.
keywords	Bike-Sharing, Covid-19, Land Use, Geographically Weighted Regression, Big Data, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaaderis2023_30
id	ecaaderis2023_30
authors	Fiuza, Rebeca, Barcelos, Letícia and Cardoso, Daniel
year	2023
title	COVID-19 and the City: An Analysis of the Correlation between Urban and Social Factors and COVID-19 in Fortaleza, Brazil
source	De Luca, F, Lykouras, I and Wurzer, G (eds.), Proceedings of the 9th eCAADe Regional International Symposium, TalTech, 15 - 16 June 2023, pp. 45–52
summary	The COVID-19 pandemic has been the biggest sanitary crisis humanity has ever faced, the virus has contaminated 662.717.929 people worldwide and killed 6.701.270 people. However, these numbers were not distributed equally at international, national or urban scale. In Fortaleza, Brazil, city studied in this paper, data from 2021 and 2022 epidemiologic reports suggest a contamination pattern that starts in neighborhoods with higher Human Development Index (HDI) and then goes to lower HDI neighborhoods, however, throughout all of this cycle, low HDI neighborhoods tend to have a higher lethality rate. These facts raised the hypothesis that those neighborhoods have specific urban and social factors that affect the capacity to respond and prevent COVID-19. The main objective of this paper is to identify the correlation of some urban and social factors with COVID-19 data. To achieve that, the authors selected seven variables (access to water rate, literacy rate, waste collection rate, population density, access to electric energy rate, sanitation rate and average monthly income) to correlate with four COVID- 19 indicators (total number of cases, total number of deaths, contamination rate and lethality rate). For this, it was chosen to apply Spearman’s correlation coefficient and for the calculation the statistical software Jamovi was used. The results show that the literacy rate, the access to electric energy rate and average monthly income have a positive correlation with the contamination rate, however these same variables have a negative correlation with the lethality rate.
keywords	COVID-19, Urban Factors, Spearman's Coefficient Correlation, Public Health
series	eCAADe
email
last changed	2024/02/05 14:28

_id	cdrf2022_453
id	cdrf2022_453
authors	Si-Yuan Rylan Wang
year	2022
title	Soft Pneumatic Robotic Architectural System: Prefabricated Inflatable Module-Based Cybernetic Adaptive Space Model Manipulated Through Human-System Interaction
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_39
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	In this paper, a cybernetic adaptive space model based on prefabricated inflatable modules and physical interaction manipulation is introduced. The research aimed to redefine an intelligent and organic trend of residing and working by providing an adjustable and performative space system. The conjunction of human-space interaction, as well as the soft and hard architectural elements adaptive to dynamic living modalities and environmental conditions, are included in the methodology. The datasets based on the human body posture are collected through IMU sensors to provide coding inputs for defining modular inflatable structures, which anticipate generating heterogeneous morphological variations apt for flexible scenarios. The elaborated pre-fabricated samples successfully conform to the expected inflating behavior through silicone patterns. The results demonstrated the possibility of future architecture as an unrestrained configuration. Integrating the shape-shifting space within modular manufacturing and interactive technology can deprive the performance of many constraints. It can render a responsive ecosystem through a behavioral transformation of the in-habitants.
series	cdrf
email
last changed	2024/05/29 14:03

_id	ecaade2022_146
id	ecaade2022_146
authors	Yin, Zihan, Wang, Likai and Ji, Guohua
year	2022
title	Wind-driven Design Optimization of Building Layouts - A case study of the residential building neighborhoods
doi	https://doi.org/10.52842/conf.ecaade.2022.1.629
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 629–638
summary	As one of the most important factors for urban microclimate, the wind environment is crucial for conserving energy, reducing carbon emissions, diluting pollutants, and improving human comfort. This paper attempts to explore wind-driven design optimization of building layouts, and a residential neighborhood in Nanjing China is chosen as a case study. The workflow combines parametric modeling, FFD simulation, and optimization tool on the Rhino-Grasshopper platform. To increase the diversity of layout design variants, three design strategies are integrated into the parametric modeling. In particular, the disposition of the open space is taken into account because it plays an important role in the outdoor wind environment. GH_Wind and Octopus plug-ins are used for FFD solving and optimization respectively. The optimization process is carried out under two different wind conditions. The results provide optimal configurations of the building layout parameters for improving the outdoor wind environment.
keywords	Design Optimization, Building Layout, Wind Environment, Fast Fluid Dynamics, Open Space
series	eCAADe
email
last changed	2024/04/22 07:10

_id	cdrf2022_187
id	cdrf2022_187
authors	Yunqin Li, Nobuyoshi Yabuki, and Tomohiro Fukuda
year	2022
title	A Virtual Reality-Based Tool with Human Behavior Measurement and Analysis for Feedback Design of the Indoor Light Environment
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_16
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	Human behavior data provides essential feedback information for architects to improve a human-centered indoor light environment design. However, architects have difficulty capturing the complex, multidimensional, and unpredictable behavior of humans, often struggle to get users’ feedback on time in the schematic phase. This paper proposes a new virtual reality-based behavioral measurement and assessment tool that quantitatively collects and analyzes individual behavioral data, including travel trajectory, travel time, and gaze points, to reveal user experience and interaction of light, aiming to better help architects get timely feedback from users and create human-centered indoor light environment designs in the scheme optimization phase. To showcase this tool, we utilize an exhibition hall of a museum design as an illustrative example. The experiment demonstrates the feasibility of the proposed tool, and its results suggest that different lighting schemes influence human behavior patterns and that the introduction of natural light usually stimulates more movement. The developed virtual reality tool prototype provides valuable visual information and statistics for analyzing human behavior and evaluating indoor light environment design schemes.
series	cdrf
email
last changed	2024/05/29 14:02

_id	cdrf2022_514
id	cdrf2022_514
authors	Jiaxiang Luo, Tianyi Gao, and Philip F. Yuan
year	2022
title	Fabrication of Reinforced 3D Concrete Printing Formwork
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_44
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	In recent years, the emerging 3D printing concrete technology has been proved to be an effective and intelligent strategy compared with conventional casting concrete construction. Due to the principle of additive manufacturing strategy, this concrete extrusion technique creates great opportunities for designing freeform geometries for surface decoration since this material has a promising performance of high compressive strength, low deformation, and excellent durability. However, the structure behavior is usually questioned, defined by the thickness and printing path. At the same time, the experiments for using 3D printing elements for structural and functional parts are still insufficient. Little investigation has been made into developing reinforcement strategies compatible with 3D printing concrete. In fact, conventional formwork and easy-to-install reinforcement support structures have various advantages in terms of labor costs but can hardly be reused. Thus, using 3D concrete printing as formwork for projects in different scales is an effective solution in the mass customized prefabrication era. Considering large-scale projects, the demand to provide concrete formwork with a proper reinforcement strategy for better toughness, flexibility, and strength is necessary. In this paper, we proposed different off-site reinforced 3D printing concrete strategies and evaluated them from time and material cost, deviation, and accessibility of fabrication.
series	cdrf
email
last changed	2024/05/29 14:03

_id	acadia22_138
id	acadia22_138
authors	Varinlioglu, Guzden; Balaban, Ozgun; Tsai, Daniel; Wu, Charles Ngai-Hang; Nagakura, Takehiko
year	2022
title	Learning from Players
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 138-149.
summary	This paper explores the unconventional decision-making environment of gamification to uncover past urban networks. To test the validity of decision making behavior of humans in the simulated topography, we designed, implemented, and tested a serious board game simulating the urban networks of the past. Using the topography, we abstracted, simplified, and represented several layers of GIS data into hexagon tiles to design a board game. The game also employs playing cards, divided into chance and trade cards, which are used to determine players’ movement on the board and their scores. In the game environment, we simulate the movement of trade, while the players, as agents, explore and reveal possible intercity networks. We monitor and document the gamers’ pathfinding/pathmaking decisions and use these to make comparisons with computational simulations. By tracking users’ movements and behaviors, we were able to create data for spatial analysis, game statistics, and user behaviors. Based on experiments and employing gamers’ stig- mergy, the research provides predictions for lost urban networks of Anatolia.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	cdrf2022_150
id	cdrf2022_150
authors	Ana Zimbarg
year	2022
title	Mapping Plant Microclimates on Building Envelope Using Environmental Analysis Tools
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_13
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	Can we build our cities not only for humans but also for all living systems? How can we consider other species occupants of the built environment? Planning cities as an element of the natural domain can reshape our relationship with nature and help redefine sustainability in architecture. Although current design strategies of reducing energy use does not rectify past/continuing im-balances in the natural environment. Landscape architect John Tillman Lyle expanded the regenerative design concept based on a range of ecological concepts. The environment's complexity, and the urge to use resources smartly, encouraged him to think about architecture and the environment as a whole system. John Lyle's regenerative design strategies scaffold a conceptual framework of treating the building as part of the landscape. Environmental tools such as Ladybug can map out the different conditions surrounding the building's envelope. This information can assist in selecting and populating a building façade with suitable plant species. The framework presents the building as a feature in the landscape, creating microclimatic conditions for various plant habitats. This conceptual workflow has the potential to become a tool to include regenerative principles in the urban context.
series	cdrf
email
last changed	2024/05/29 14:02

_id	sigradi2022_246
id	sigradi2022_246
authors	Bustos Lopez, Gabriela; Aguirre, Erwin
year	2022
title	Walking the Line: UX-XR Design Experiment for Ephemeral Installations in Pandemic Times
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 699–710
summary	Throughout COVID 19 Pandemic since 2020, it was necessary to generate instructional strategies including digital platforms for creative processes in architecture. This article exposes an experience that integrates pedagogical, operational, and technical dimensions in architecture virtual teaching. A pedagogical methodology was designed and implemented, fusing User Experience (UX) and Extended Reality (XR) during the architectural design process in a virtual experimental studio. The use of UX-XR as a designing-reviewing strategy in architecture, positively impacted the creative experience of both students and reviewers by enriching the perception of the space and interactively simulating the user experience. A friendly, fun, and socially inclusive environment was generated for learning architecture using synthetic media and Multiuser Virtual Environments (MUVEs). The successful results of the students’ projects by phase are shown, revealing the significance of combining UX and XR, incorporating the metaverse as a canvas to review, recreate, interact, and assess architectural designs.
keywords	User Experience (UX), Extended Reality (XR), Multiuser Virtual Environments (MUVE), Virtual Campus, Usability
series	SIGraDi
email
last changed	2023/05/16 16:56

_id	sigradi2022_52
id	sigradi2022_52
authors	Frutuôso, Joyce; Pereira, Liryan; Verniz, Debora; Pontes, Thiago; Santos, Deborah
year	2022
title	JOI - Personal equipment to manipulate knobs without direct hands contact
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 983–992
summary	The contagious COVID-19 pandemic made it necessary to adopt strategies to avoid contamination. COVID-19 spreads when someone is in direct contact with small droplets and particles that contain the virus. These droplets and particles can be active on surfaces that are shared by many people, so hand sanitation became an important aspect to prevent virus contamination. However, products for hand sanitation may not be available easily everywhere. Moreover, the excessive use of products like hand sanitizers and hand soaps can cause dryness and dermatitis on certain users. This paper describes the rapid prototyping of JOI, a device for users to avoid touching doorknobs, door bolts, switchers, and call buttons. The device was 3D printed (more than 400 units) and distributed to an academic community, which then answered a usability survey. Results show that the device is efficient to avoid the direct contact of users and surfaces that may be contaminated.
keywords	COVID-19, Digital Fabrication, 3D Print, Personal Protective Equipment, Good Health and Well-Being
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	sigradi2022_113
id	sigradi2022_113
authors	Lobato Valdespino, Juan Carlos; Flores Romero, Jorge Humberto
year	2022
title	Digital-cultural inclusion ERT / VDS; workshop indigenous housing for Purépechas Autonomous Communities.
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 1053–1062
summary	Since March 2020, architecture schools in the world took significant decisions to abandon face-to-face learning; overnight, for security reasons, institutions around the world had to close their doors, confining professors, and students at home to teach online. Education before the Covid-19 pandemic was moving towards digitalization and online teaching, so the emergency exponentially detonated this phenomenon, bringing the Virtual Design Studio (Virtual Design Studio, VDS) as a practical-pedagogical option for distance education. Therefore, defining the concept of Emergency Remote Teaching (ERT). Firstly, the identification and intercession of the previous notions, this work approaches an applicative case with the realization of a workshop, which under the modality Multilevel Workshop -also called Vertical Workshop-, the Faculty of Architecture of the UMSNH proposed to integrate knowledge, skills, and competences under the scheme of Problem Based Learning (PBL).
keywords	ERT, VDS, Design, Habitat, Architecture
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	cdrf2022_209
id	cdrf2022_209
authors	Yecheng Zhang, Qimin Zhang, Yuxuan Zhao, Yunjie Deng, Feiyang Liu, Hao Zheng
year	2022
title	Artificial Intelligence Prediction of Urban Spatial Risk Factors from an Epidemic Perspective
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_18
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	From the epidemiological perspective, previous research methods of COVID-19 are generally based on classical statistical analysis. As a result, spatial information is often not used effectively. This paper uses image-based neural networks to explore the relationship between urban spatial risk and the distribution of infected populations, and the design of urban facilities. We take the Spatio-temporal data of people infected with new coronary pneumonia before February 28 in Wuhan in 2020 as the research object. We use kriging spatial interpolation technology and core density estimation technology to establish the epidemic heat distribution on fine grid units. We further examine the distribution of nine main spatial risk factors, including agencies, hospitals, park squares, sports fields, banks, hotels, Etc., which are tested for the significant positive correlation with the heat distribution of the epidemic. The weights of the spatial risk factors are used for training Generative Adversarial Network models, which predict the heat distribution of the outbreak in a given area. According to the trained model, optimizing the relevant environment design in urban areas to control risk factors effectively prevents and manages the epidemic from dispersing. The input image of the machine learning model is a city plan converted by public infrastructures, and the output image is a map of urban spatial risk factors in the given area.
series	cdrf
email
last changed	2024/05/29 14:02

_id	cdrf2022_223
id	cdrf2022_223
authors	Zhiyi Dou, Waishan Qiu, Wenjing Li, Dan Luo
year	2022
title	Evaluation Process of Urban Spatial Quality and Utility Trade-Off for Post-COVID Working Preferences
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_19
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	The formation of cities, and the relocation of workers to densely populated areas reflect a spatial equilibrium, in which the higher real consumption levels of urban areas are offset by lower non-monetary amenities [1]. However, as the society progress toward a post-COVID stage, the prevailing decentralized delivery systems and location-based services, the growing trend of working from home, with citizens’ shifting preference of de-appreciating densities and gathering, have not only changed the possible spatial distribution of opportunities, resources, consumption and amenities, but also transformed people’s preference regarding desirable urban spatial qualities, value of amenities, and working opportunities [2, 3]. This research presents a systematic method to evaluate the perceived trade-off between urban spatial qualities and urban utilities such as amenities, transportation, and monetary opportunities by urban residence in the post-COVID society. The outcome of the research will become a valid tool to drive and evaluate urban design strategies based on the potential self-organization of work-life patterns and social profiles in the designated neighbourhood. To evaluate the subjective perception of the urban residence, the study started with a comparative survey by asking residence to compare two randomly selected urban contexts in a data base of 398 contexts sampled across Hong Kong and state their living preference under the presumption of following scenarios: 1. working from home; 2. working in city centre offices. Core information influencing the spatial equilibrium are provided in the comparable urban context such as street views, housing price, housing space, travel time to city centre, adjacency to public transport and amenities, etc. Each context is given a preference score calculated with Microsoft TrueSkill Bayesian ranking algorithm [4] based on the comparison survey of two scenarios. The 398 contexts are further analysed via GIS and image processing, to be deconstructed into numerical values describing main features for each of the context that influence urban design strategies such as composition of spatial features, amenity allocation, adjacency to city centre and public transportations. Machine learning models are trained with the numerical values of urban features as input and two preference scores for the two working scenarios as the output. The correlation heat maps are used to identify main urban features and its p-value that influence residence’s preference under two working scenarios in post–COVID era. The same model could also be applied to inform the direction of urban design strategies to construct a sustainable community for each type of working population and validate the design strategies via predicting its competitiveness in attracting residence and developing target industries.
series	cdrf
email
last changed	2024/05/29 14:02

_id	caadria2022_167
id	caadria2022_167
authors	Aman, Jayedi, Matisziw, Timothy C, Kim, Jong Bum and Luo, Dan
year	2022
title	Sensing the City: Leveraging Geotagged Social Media Posts and Street View Imagery to Model Urban Streetscapes Using Deep Neural Networks
doi	https://doi.org/10.52842/conf.caadria.2022.1.595
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 595-604
summary	Understanding the relationships between individuals and the urban streetscape is an essential component of sustainable city planning. However, analysis of these relationships involves accounting for a complex mix of human behaviour, perception, as well as geospatial context. In this context, a comprehensive framework for predicting preferred streetscape characteristics utilizing deep learning and geospatial techniques is proposed. Geotagged social media posts and street view imagery are employed to account for individual sentiment and geospatial context. Natural Language Processing (NLP) and computer vision (CV) are then used to infer sentiment and model the visual environment within which individuals make posts to social media. An application of the developed framework is provided using Instagram posts and Google Street View imagery of the urban environment. A spatial analysis is conducted to assess the extent to which urban attributes correlate with the sentiment of social media postings. The results shed light on sustainable streetscape planning by focusing on the relationship between users and the built environment in a complex urban setting. Finally, limitations of the developed methodology as well as future directions are discussed.
keywords	Urban sustainability, data mining, pedestrian sentiments, transportation behavior, street level imagery, transformers, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	cdrf2022_478
id	cdrf2022_478
authors	Andrea Macruz, Mirko Daneluzzo, and Hind Tawaku
year	2022
title	Performative Ornament: Enhancing Humidity and Light Levels for Plants in Multispecies Design
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_41
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	The paper shifts the design conversation from a human-centered design methodology to a posthuman design, considering human and nonhuman actors. It asks how designers can incorporate a multispecies approach to creating greater intelligence and performance projects. To illustrate this, we describe a project of “ornaments” for plants, culminating from a course in an academic setting. The project methodology starts with “Thing Ethnography” analyzing the movement of a water bottle inside a house and its interaction with different objects. The relationship between water and plant was chosen to be further developed, considering water as a material to increase environmental humidity for the plant and brightness through light reflectance and refraction. 3D printed biomimetic structures as supports for water droplets were designed according to their performance and placed in different arrangements around the plant itself. Humidity levels and illuminance of the structures were measured. Ultimately, this created a new approach for working with plants and mass customization. The paper discusses the resultant evidence-based design and environmental values.
series	cdrf
email
last changed	2024/05/29 14:03

_id	ascaad2022_096
id	ascaad2022_096
authors	Assem, Ayman; Safwat, Merna
year	2022
title	Computational Design Approach for Applying Neuro-Architecture Principles in Healthcare Facilities
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 331-347
summary	Neuroscience tools’ advancements have paved the way for neuroscience and architecture collaboration, spawning "Neuro-architecture." Neuro-architecture studies in various settings have been tentatively translated into design principles to improve the mood, perception, and satisfaction of healthcare facility users, as well as patient wellbeing and recovery rates. Integrating such principles into computational design methodologies should benefit users’ mental health and reduce the gap between computational design and human mental needs. The research was conducted in two phases: in the first phase, typologies used in evidence-based design research (EBD) were applied in order to determine neuro-architecture design principles for the interior environment of healthcare facilities. In the second phase, the research employed space syntax analysis to evaluate the incorporation of neuro-architecture principles into healthcare facility interiors. The method visualises and evaluates spatial qualities that reflect the application of planning and navigation neuro-interior principles for the inpatient ward of a healthcare facility.
series	ASCAAD
email
last changed	2024/02/16 13:38

_id	acadia23_v3_27
id	acadia23_v3_27
authors	Bakomichali, Vasiliki; Marengo, Mathilde; Thomas, Julia; Ganatra, Hiranya; Neri, Iacopo
year	2023
title	Fostering Symbiosis for Ecosystem Revival
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	The impact of human activity on natural landscapes has been so profound that scientists defined a new era to characterize the trajectory shift of the planet’s ecosystem. Interference with the operation of planetary mechanisms that support the life cycles of 8.7 million species (Ritchie 2022), for the sole benefit of one, has inevitably created a crisis. The data-informed approach presented in these field notes helps to integrate ecological needs within the design process, and develop more precise design strategies to mitigate this impact.
series	ACADIA
type	field note
email
last changed	2024/04/17 13:59

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