CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
References

Hits 1 to 20 of 647

_id ecaade2020_009
id ecaade2020_009
authors Reaver, Kai
year 2020
title After Imagery - Evaluating the use of mixed reality (MR) in urban planning
doi https://doi.org/10.52842/conf.ecaade.2020.1.187
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. 187-196
summary While many researchers have developed interesting use cases for Mixed Reality (MR) in urban environments, the paper argues that determining the long-term viability of such applications as planning tools will likely require evaluating whether such applications are compatible with the democratically mandated procedures in Urban Planning. The paper compares this claim to current debates regarding the legality of the use of digital imagery in Urban Planning today. The paper elaborates these arguments through case studies done in Oslo, Norway in the context of developing the "Nordic Digital City". The case studies involve the use of MR in 1) a public competition, 2) a regulation plan, and 3) a building permit. The study thus presents some of the benefits and challenges of using these technologies in such a manner, particularly regarding accuracy, user feedback, and robustness as a common interface. The paper concludes that MR offers several benefits to Urban Planning, but will likely require a highly digitized competent public sector in order to function, in addition to requiring negotiation between the required user data and user privacy rights, suggesting that MR development may migrate from a primarily technical domain to a matter of public policy.
keywords Mixed Reality; Urban Planning; Urbanism; Augmented Reality
series eCAADe
email
last changed 2022/06/07 08:00

_id ijac202018102
id ijac202018102
authors Seifert, Nils; Michael Mühlhaus and Frank Petzold
year 2020
title Urban strategy playground: Rethinking the urban planner’s toolbox
source International Journal of Architectural Computing vol. 18 - no. 1, 20-40
summary This article presents the results of the Urban Strategy Playground research group. Over the last 5 years, the focus of an interdisciplinary team of researchers was the conception, implementation and evaluation of a decision-support system for inner-city urban and architectural planning. The overall aim of past and ongoing research is to enable planners to validate and compare possible planning measures based on objective criteria. The Urban Strategy Playground software framework is an expandable toolbox that supports planners in developing strategies, evaluating them and visually preparing them for political decision-making processes and public participation. Examples of implemented tools are the simulation and monitoring of building codes, analysis of key density indicators and green space provision, simulation of shading, building energy and noise dispersion. For visualising the planning results, the framework provides interfaces for rapid prototyping of haptic models, as well as web viewers and a connection to Augmented Reality applications. Core aspects of the system were evaluated through case studies in cooperation with urban planning offices, housing companies and municipalities, proving feasibility, high acceptance of the decision-support software, and need for more tailored tools.
keywords Urban planning, decision support, participation, augmented reality, 3D printing, visual programming, 3D city model
series journal
email
last changed 2020/11/02 13:34

_id ecaade2024_60
id ecaade2024_60
authors Wan, Zijun; Sun, Shuaibing; Meng, Fanjing; Yan, Yu
year 2024
title How Augment Reality Support Public Participation in the Urban Design Decision-Making: A ten - year literature review
doi https://doi.org/10.52842/conf.ecaade.2024.2.455
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 2, pp. 455–464
summary Emerging applications of AR have demonstrated its powerful visualization capabilities, which is a potential solution to enhance public participation in the urban design process. However, there is still a lack of complete understanding of how AR gets involved in this decision-making process. Therefore, this paper reviews 33 empirical studies relating to the topic through the four steps of “PRISMA”. The results indicate that the quantity and quality of research is increasing yearly. As AR technology progresses, the techniques and research methods used in those studies show a trend toward diversification and customization; this has also led to a shift in the scale of urban design from large and abstract to small and concrete. In terms of content, the topics have gradually changed from “people group” to “technology”, and then to “environment”. Notably, a small number of cases in tangible interaction and multi-user collaboration have emerged from 2020 — areas showing great promise. In terms of user assessments, most studies give positive feedback, but there are currently concerns about problems in poor AR visualizations, privacy risks, and the social inequality caused by technical affordance.
keywords Augment reality, Urban design and planning, Public participation, Collaborative and participative design, Design decision-making
series eCAADe
email
last changed 2024/11/17 22:05

_id caadria2020_354
id caadria2020_354
authors Tomarchio, Ludovica, He, Peijun, Herthogs, Pieter and Tuncer, Bige
year 2020
title Cultural-Smart City: Establishing New Data-informed Practices to Plan Culture in Cities
doi https://doi.org/10.52842/conf.caadria.2020.2.081
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. 81-90
summary The idea of the Creative City has encouraged planners to develop cultural policies to support creative economies, city branding, urban identity and urban quality. On the other side, the concept of Smart City introduced the possibility to create, collect and analyse data to inform decisions on cities. The two city agendas overlap in different ways, creating a Smart cultural city nexus, that propose similar goals and mixed methodologies, like the possibility to inform planning processes with big data-based technologies. In line with this direction, we introduced conceptual and methodological tools: the first tool is the definition of Hybrid Art Spaces, the second tool is the Singapore Art Maps (SAM), which uses social media data to locate art venues in cities (Tomarchio et al. 2016); the third tool is the Social Media Art Model, which establishes a relationship between social media production and art venues features. While these tools have already shown interesting analytics outcomes (Tomarchio et al. 2016), it is important to validate their utility among practitioners and to set protocols of practices. This paper presents results from semi-structured interviews and a focus group, as a first step towards assessing the usefulness of our three tools for cultural planning practice.
keywords social media; art; cultural planning; urban planning
series CAADRIA
email
last changed 2022/06/07 07:58

_id ecaade2020_076
id ecaade2020_076
authors Bai, Nan, Azadi, Shervin, Nourian, Pirouz and Pereira Roders, Ana
year 2020
title Decision-Making as a Social Choice Game - Gamifying an urban redevelopment process in search for consensus
doi https://doi.org/10.52842/conf.ecaade.2020.2.555
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. 555-564
summary The paper reports the formulation, the design, and the results of a serious game developed for structuring negotiations concerning the redevelopment of a university campus with various stakeholders. The main aim of this research was to formulate the redevelopment planning problem as an abstract and discrete decision-making problem involving multiple actions, multiple actors with preconceived gains and losses with respect to the comprising actions, and decisions as combinations of actions. Using fictitious and yet realistic scenarios and stakeholders as simulation, the results evidence how different levels of democratic participation and different modes of moderation can affect reaching a consensus and present in a mathematical characterisation of a consensus as a state of equilibrium. The small set of actions and actors enabled a chance to compute a theoretically optimal state of consensus, where the efficiency and the effectiveness of different modes of moderation and participatory rights could be observed and analysed.
keywords Serious Game; Consensus Building; Democratization; Game Theory; Social Decision
series eCAADe
email
last changed 2022/06/07 07:54

_id ecaade2020_209
id ecaade2020_209
authors Han, Yoojin and Lee, Hyunsoo
year 2020
title Investigating the Effectiveness of AR-enhanced Signage in Multi-purpose Commercial Complexes - Focusing on response time to directional signage
doi https://doi.org/10.52842/conf.ecaade.2020.1.145
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. 145-152
summary The aim of this study was to investigate next level digital signage utilizing augmented reality for multi-purpose commercial complexes. Recently, despite the rapid growth of the urban solution, mixed-use commercial complexes have experienced significant problems in terms of wayfinding. As a potential solution to the problem, this study sought to determine the effectiveness of state-of-the-art augmented reality (AR) on wayfinding. Focusing on the response time to directional signage, this study compared wayfinding through traditional signage with AR-enhanced signage. The response time in milliseconds was measured using a program developed with Python. In all, 30 sign images were presented to 48 participants in random order. A third of them included existing signs as the control condition, and the others were AR signs with half graphic and half text. The results of this study demonstrated that AR-enhanced signage had tremendous potential to improve wayfinding performance in multi-purpose commercial complexes. Results revealed that response time to directional signage was reduced in AR environments. In particular, the AR signage system combining text and graphics was useful in terms of both response time and cognitive appraisal.
keywords Augmented Reality (AR); Signage; Wayfinding; Multi-purpose Commercial Complexes
series eCAADe
email
last changed 2022/06/07 07:50

_id caadria2020_161
id caadria2020_161
authors Kido, Daiki, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year 2020
title Mobile Mixed Reality for Environmental Design Using Real-Time Semantic Segmentation and Video Communication - Dynamic Occlusion Handling and Green View Index Estimation
doi https://doi.org/10.52842/conf.caadria.2020.1.681
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. 681-690
summary Mixed reality (MR), that blends the real and virtual worlds, attracted attention for consensus-building among stakeholders in environmental design with the visualization of planned landscape onsite. One of the technical challenges in MR is the occlusion problem which occurs when virtual objects hide physical objects that should be rendered in front of virtual objects. This problem may cause inappropriate simulation. And the visual environmental assessment of present and proposed landscape with MR can be effective for the evidence-based design, such as urban greenery. Thus, this study aims to develop a MR-based environmental assessment system with dynamic occlusion handling and green view index estimation using semantic segmentation based on deep learning. This system was designed for the use on a mobile device with video communication over the Internet to implement a real-time semantic segmentation whose computational cost is high. The applicability of the developed system is shown through case studies.
keywords Mixed Reality (MR); Environmental Design; Dynamic Occlusion Handling; Semantic Segmentation; Green View Index
series CAADRIA
email
last changed 2022/06/07 07:52

_id ecaade2020_215
id ecaade2020_215
authors Zhu, Yuehan, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year 2020
title Integrated Co-designing Using Building Information Modeling and Mixed Reality with Erased Backgrounds for Stock Renovation
doi https://doi.org/10.52842/conf.ecaade.2020.1.153
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. 153-160
summary The stock renovation has become an important area of study. As customized design becomes increasingly popular, the design methods with occupants' participation are increasingly valued. The designers need an intuitive, understandable design method that allows non-professional occupants can also participate in the design process. Therefore, the proposed system explores the applicability of integrating the Building Information Modeling (BIM) model into the Mixed Reality (MR) environment to display realistic and interactive design plans. Occupants who involved in the renovation design wearing head mounted display (HMD) would experience the same MR environment. All of them can use gestures to interact with each other and control all the virtual structures and objects. This MR experience can help users to better understand other's intentions, and they can evaluate the design plans more easily. This paper will introduce a prototype of the integrated co-designing system using multiple HMDs connected in a local area network (LAN).
keywords Mixed Reality; Diminished Reality; Building Information Modeling; Co-Designing; Stock Renovation
series eCAADe
email
last changed 2022/06/07 07:57

_id caadria2020_387
id caadria2020_387
authors Chien, Sheng-Fen, Lin, Chieh-I and Lin, Kuan-Ling
year 2020
title A Light-weight CAAD-VR Bridge
doi https://doi.org/10.52842/conf.caadria.2020.1.761
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. 761-770
summary Virtual Reality (VR) has been proven an effective media for design communications. VR-enabled design environments allow laypersons to join in various stages of design process and achieve a wide range of participatory designs. However, most of these environments are developed for research purposes and not easily accessible to architects. This research aims to bridge the gap of VR hardware and design software to make VR easily accessible to architects. We develop a set of 4 use cases for implementing VR-enabled design environment: (1) Export Design Elements to VR; (2) Authorizing VR co-design environment; (3) Design Manipulation in VR; and (4) Output VR Objects to CAAD. A prototype has been implemented using HTC Vive and Unity to test these use cases. The data exchange between VR environment and CAAD environment is achieved through the JSON format. The prototype is tested by students in a graduate-level design studio with promising results.
keywords Virtual Reality; VR; VR-enabled CAAD; Use Case; JSON
series CAADRIA
email
last changed 2022/06/07 07:55

_id ecaade2020_044
id ecaade2020_044
authors Dumlu, Burcu Nimet
year 2020
title Virtual Reality as a Tool for Measuring Spatial Tendencies in Urban Experience
doi https://doi.org/10.52842/conf.ecaade.2020.1.365
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. 365-374
summary Virtual reality (VR) enables the controlled acquisition of physical reality into the virtual environment. The virtual built environment stimulates people as physical urban experiences. Room-scale experience allows wandering around the urban space. The purpose of this study is to understand VR as a tool for measuring spatial tendencies of the individual through distance structuring (proxemics) in the virtual environment. According to the concept of proxemics, individuals interact with the built environment and people through personal, social, and public distances. The study provided a virtual space that was designed as a streetscape with a road and buildings along the way both sides. Users were immersed in the VR model for 10 minutes through navigating on the chosen route and recorded in the video. The objective was understanding how the architectural elements are related to proxemics tendencies. This study describes VR as a tool for understanding user tendencies through user spatial behavior.
keywords Virtual Reality; Virtual Space; Proxemics; HTC Vive
series eCAADe
email
last changed 2022/06/07 07:52

_id ecaade2020_222
id ecaade2020_222
authors Ikeno, Kazunosuke, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year 2020
title Automatic Generation of Horizontal Building Mask Images by Using a 3D Model with Aerial Photographs for Deep Learning
doi https://doi.org/10.52842/conf.ecaade.2020.2.271
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. 271-278
summary Information extracted from aerial photographs is widely used in urban planning and design. An effective method for detecting buildings in aerial photographs is to use deep learning for understanding the current state of a target region. However, the building mask images used to train the deep learning model are manually generated in many cases. To solve this challenge, a method has been proposed for automatically generating mask images by using virtual reality 3D models for deep learning. Because normal virtual models do not have the realism of a photograph, it is difficult to obtain highly accurate detection results in the real world even if the images are used for deep learning training. Therefore, the objective of this research is to propose a method for automatically generating building mask images by using 3D models with textured aerial photographs for deep learning. The model trained on datasets generated by the proposed method could detect buildings in aerial photographs with an accuracy of IoU = 0.622. Work left for the future includes changing the size and type of mask images, training the model, and evaluating the accuracy of the trained model.
keywords Urban planning and design; Deep learning; Semantic segmentation; Mask image; Training data; Automatic design
series eCAADe
email
last changed 2022/06/07 07:50

_id ecaade2020_245
id ecaade2020_245
authors Kampani, Anna and Varoudis, Tasos
year 2020
title Perceptive Machine - Visuospatial Configurations Through Machine Intuition
doi https://doi.org/10.52842/conf.ecaade.2020.1.419
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. 419-428
summary Computational tools in architecture have yet to adequately address the issue of evaluating and informing design through the prism of visual perception in 3-dimensional environments. Previous research has demonstrated that although the issue of understanding and designing public spaces is of significant importance, existing methods of data representation in VR are not extensively investigated. The present paper reports on research into the development of a computational model that evaluates and visualises information regarding permeability of the urban fabric in a virtual environment. Primary aim is to create an additional layer for early design stages that will assist in projecting all information in VR space so that the user can explore and grasp through data the impact of each design step in an immersive, human scale.
keywords Computational Design; Virtual reality development; Machine Learning; Urban Analytics; Visual perception
series eCAADe
email
last changed 2022/06/07 07:52

_id caadria2020_056
id caadria2020_056
authors Schnabel, Marc Aurel and Chowdhury, Shuva
year 2020
title VR Unmatched - Leveraging Non-experts as Co-Urban Designers
doi https://doi.org/10.52842/conf.caadria.2020.1.651
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. 651-660
summary The recent development in Virtual Reality (VR) allows for novel engagement in participatory urban design. Despite that any design approach cannot include and address all items that are relevant or needed during a design process, social VR design instruments offer additionality via their real-time generation and visualisation possibilities that are unmatched in conventional realms. The research employs an anthropogenic approach to design research to engage end-users in the design process. An Immersive Virtual Environment (IVE) instrument 'SketchPad' allows laypersons to design successfully urban forms. SketchPad engaged laypersons in a meaningful design discussion and generations of urban spaces. The research discusses the findings of the experiments. The paper concludes with a reflection of how non-experts as co-designers can use IVE instruments to drive change of their neighbourhood proactively and to positively impact on the liveability of their neighbourhood.
keywords SketchPad; Co-design; Layperson; Design Participation; Urban Design
series CAADRIA
email
last changed 2022/06/07 07:57

_id ecaade2020_121
id ecaade2020_121
authors Trossman Haifler, Yaala and Fisher-Gewirtzman, Dafna
year 2020
title Urban Well-Being in Dense Cities - The influence of densification strategies, experiment in virtual reality
doi https://doi.org/10.52842/conf.ecaade.2020.1.323
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. 323-332
summary Urban morphology significantly impacts resident's well-being. This study examines the impact of urban environments on the sense of well-being, using virtual reality as a research environment. Most of the world's population already live in urban localities; and it is expected that in two decades, more than 70% of the total population of the planet will be city dwellers(UN 2018). This study examines the impact of various urban configurations on dwellers well-being. Participants were presented with simulated pedestrian movement through 24 virtual urban environments. The environments differed by density level, spatial configurations, vegetation, and commerce. Participants assessed each alternative through structured questionnaires. It has been found that the density and presence of vegetation and commerce in the urban area have a significant impact on the subject's well-being in urban environments. extreme levels of densification have a negative effect on subjects' feelings, but vegetation and commerce, especially at the high levels of density, can improve them. In this research we established the framework for planning principles that can improve urban densification processes. An understanding of the wellbeing of urban dwellers, and the parameters that can influence this, will help urban designers and planners in creating better urbanized future environments.
series eCAADe
email
last changed 2022/06/07 07:57

_id ecaade2020_214
id ecaade2020_214
authors Chen, Hsien and Hsu, Pei-Hsien
year 2020
title Data Mining as a User-oriented Tool in Participatory Urban Design
doi https://doi.org/10.52842/conf.ecaade.2020.1.011
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. 11-18
summary In this research, we did the datamining to the POI(point-of-interest) of the city, and shows how Popular times data and NPL(Natural language processing) analysis transformed user data into new tools of participatory design of urban planning. After analyzing and visualizing the popular time data of the city POI, we showed the city users' preferred place to go at different point in time. And this will figured out that at some time, same type of POI has different using condition. Based on above mentioned, we used NPL to analyze user reviews to find out the causes and provide planning suggestions. This method can offer planner a chance to understand the experience of city user at the planning stage. Comparing to the traditional method, fetching data from the social platform could be able to get the daily preference, perspective and emotion of the users, and these data can make the result of participatory urban planning accord with the demand of the users.
keywords Popular times; NLP; Social Media; Urban Design Tool; Smart Cities
series eCAADe
email
last changed 2022/06/07 07:55

_id caadria2020_276
id caadria2020_276
authors Chuang, I-Ting
year 2020
title Sensing the Diversity of Social Hubs through Social Media
doi https://doi.org/10.52842/conf.caadria.2020.2.061
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. 61-70
summary As we continue to discover the potential of social media data as an insightful source for academic research, the majority of previous work tends to focus on the density of socio-spatial relations as the foundation for understanding urban phenomena. This paper extended those approaches by introducing the concepts of diversity and inclusiveness through an investigation of the 'differences' within the networks of relations that are inherent to social media data. The author constructs a diversity measure based on the variety of home locations of social media user visitors to each geographical location in the city. This home location, in its turn, is derived from each user's digital spatio-temporal footprint. This proposed method demonstrates that through the visualization of this diversity measure, 'social hubs' (which are frequently visited by different groups of people) were able to be located that would otherwise be overlooked in conventional data analyses that focus only on density. As such, this research expands the usefulness of social media as a practical tool to help understand urban processes by making the concept of diversity - a key consideration in many planning and design contexts - measurable and mappable.
keywords Social Media Data; Home Location Detection; Diversity Analysis
series CAADRIA
email
last changed 2022/06/07 07:56

_id ecaade2020_497
id ecaade2020_497
authors Kim, Eunsu, Rosenwasser, David and Garcia del Castillo Lopez, Jose Luis
year 2020
title Urban Emotion - The interrogation of social media and its implications within urban context
doi https://doi.org/10.52842/conf.ecaade.2020.2.475
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. 475-482
summary This paper presents social media as an analytical tool, helping to transform public policy-making, alongside urban needs by dissecting and evaluating human perception. Using emotion analysis on data gathered from a social media platform, experiments are developed to bring new value to architectural and civic narratives. Emotions from texts collected within social media platforms are extracted and mapped alongside tagged locations to gain a greater understanding of how public spaces are utilized. This project develops a new analytical layer within our built environment, working alongside the urban fabric, mechanical systems, and digital infrastructure. It is offered as an interactive tool for policymakers and designers to glean feedback, creating an informed conversation between citizens and decision-makers. Whereas social media platforms such as Twitter and Yelp have been referenced in past academic contexts, this project moves further by producing quantified emotions, painting a differentiated result from what purely semantic data could deliver.
keywords Social Media; Mapping; Natural Language Processing
series eCAADe
email
last changed 2022/06/07 07:52

_id caadria2020_118
id caadria2020_118
authors Chow, Ka Lok and van Ameijde, Jeroen
year 2020
title Generative Housing Communities - Design of Participatory Spaces in Public Housing Using Network Configurational Theories
doi https://doi.org/10.52842/conf.caadria.2020.2.283
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. 283-292
summary This research-by-design project explores how public housing estates can accommodate social diversity and the appropriation of shared spaces, using qualitative and quantitative analysis of circulation networks. A case study housing estate in Hong Kong was analysed through field observations of movements and activities and as a site for the speculative re-design of shared spaces. Generative design processes were developed based on several parameters, including shortest paths, visibility integration and connectivity integration (Hillier & Hanson, 1984). Additional tools were developed to combine these techniques with optimisation of sunlight access, maximisation of views for residential towers and the provision of permeability of ground level building volumes. The project demonstrates how flexibility of use and social engagement can constitute a platform for self-organisation, similar to Jane Jacobs' notion of vibrant streets leading to active and progressive communities. It shows how computational design and configurational theories can promote a bottom-up approach for generating new types of residential environments that support participatory and diverse communities, rather than a conventional top-down approach that is perceived to embody mechanisms of social regimentation.
keywords Urban Planning and Design; Network Configuration; Community Space and Social Interaction; Hong Kong Public Housing
series CAADRIA
email
last changed 2022/06/07 07:56

_id ecaade2020_054
id ecaade2020_054
authors Liu, Yuezhong, Stouffs, Rudi and Theng, Yin Leng
year 2020
title Development of Synthetic Patient Data to Support Urban Planning for Public Health
doi https://doi.org/10.52842/conf.ecaade.2020.1.315
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. 315-322
summary Healthy urban planning is about planning for people, considering the needs of people and communities during the planning process and the implications of decisions for human health and well-being. However, access to real electronic health record (EHR) data is hindered by legal, privacy, security, and intellectual property restrictions. The lack of freely distributable health records has become an important issue for healthy urban planning. This research develops a source of synthetic electronic health records based on reviewed and meta-analysed evidence on the association between built environmental characteristics related to lifestyle chronic diseases. This research uses Type 2 Diabetes Mellitus (T2DM) as health for proof of concept. The results roughly approximate age and gender groups at diagnosis curves (R2 = 0.876), and correctly generated more than 90% of patients for the all age group in Singapore. As a summary, these pilot validated synthetic records could be used as a risk-free (no privacy & security issues) data for supporting healthy urban planning.
keywords synthetic patient; urban planning; computer simulation; Type 2 Diabetes Mellitus; GIS
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 FLÄVIZ in the rezoning process - A Web Application to visualize alternatives of land-use planning
doi https://doi.org/10.52842/conf.caadria.2020.1.813
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
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 FLÄVIZ, 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

For more results click below:

this is page 0show page 1show page 2show page 3show page 4show page 5... show page 32HOMELOGIN (you are user _anon_876584 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002