Cumincad : CUMINCAD Papers : Search Results

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

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_id	caadria2020_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	sigradi2020_627
id	sigradi2020_627
authors	Lima, Fernando T.; Muthumanickam, Naveen K.; Miller, Marc L.; Duarte, José P.
year	2020
title	World Studio: a pedagogical experience using shape grammars and parametric approaches to design in the context of informal settlements
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 627-634
summary	The World is experiencing a rapid surge in urban population, in addition to fast urbanization processes. Contemporary cities witness the rise of numerous urban and social problems, leading to the emergence of informal settlements. Still, computational and parametric resources have increasingly been adopted in novel approaches to urban planning and design. These resources can be used in informal settlements to improve urban quality without losing their essential features. This paper describes a teaching experience in the context of a design studio that uses shape grammars and parametric tools to design for an informal settlement context in Ahmedabad, India.
keywords	Shape grammars, Parametrization, Informal settlements, Urban design, Teaching experience
series	SIGraDi
email
last changed	2021/07/16 11:52

_id	ecaade2024_222
id	ecaade2024_222
authors	Bindreiter, Stefan; Sisman, Yosun; Forster, Julia
year	2024
title	Visualise Energy Saving Potentials in Settlement Development: By linking transport and energy simulation models for municipal planning
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
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. 79–88
summary	To achieve Sustainable Development Goals, in addition to the switch to sustainable energy sources and energy-efficient buildings, transport offers a major lever for reducing energy consumption and greenhouse gases. The increasing demand for emission-free mobility (e.g. through electromobility) but also heat pumps has a direct impact on the electricity consumption of buildings and settlements. It is still difficult to simulate the effects and interactions of different measures as sector coupling concepts require comprehensible tools for ex ante evaluation of planning measures at the community level and the linking of domain-specific models (energy, transport). Using the municipality of Bruck an der Leitha (Austria) as an example, a digital twin based on an open data model (Bednar et al., 2020) is created for the development of methods, which can be used to simulate measures to improve the settlement structure within the municipality. Forecast models for mobility (Schmaus, 2019; Ritz, 2019) and the building stock are developed or applied and linked via the open data model to be able to run through development scenarios and variants. The forecasting and visualisation options created in the project form the basis for the ex-ante evaluation of measures and policies on the way to a Positive-Energy-District. By identifying and collecting missing data, data gaps are filled for the simulation of precise models in the specific study area. A digital, interactive 3D model is created to examine the forecast results and the different scenarios.
keywords	visualisation, decision support, sector coupling, holistic spatial energy models for municipal planning, (energy) saving potentials in settlement development
series	eCAADe
email
last changed	2024/11/17 22:05

_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	sigradi2020_676
id	sigradi2020_676
authors	Farias, Hélio Takashi Maciel de; Brasil, Amíria Bezerra; Barbosa, Fabrício Lira
year	2020
title	Visualizing under pressure: parametric modeling of urban morphology as an agile and transparent tool for participatory planning in Brazil
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 676-682
summary	Urban morphology in Brazilian cities is deeply related to building code parameters, such as maximum floor-to-area-ratio and building height. Planning regulations for city of Natal/RN are currently being revised, under intense industry pressure towards increasing building density in the coastal areas, despite social and environmental concerns. Prospective visualizations of multiple parametrically modeled scenarios were developed as aids in explaining the impacts of such regulation changes in a participatory planning context. Despite lacking extensive resources or data to support their development, the visualizations and the associated density information were sufficiently communicative as to be incorporated into the planning discussion.
keywords	Participatory planning, Parametric urban modeling, Urban morphology visualization
series	SIGraDi
email
last changed	2021/07/16 11:52

_id	cdrf2019_93
id	cdrf2019_93
authors	Jiaxin Zhang , Tomohiro Fukuda , and Nobuyoshi Yabuki
year	2020
title	A Large-Scale Measurement and Quantitative Analysis Method of Façade Color in the Urban Street Using Deep Learning
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_9
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	Color planning has become a significant issue in urban development, and an overall cognition of the urban color identities will help to design a better urban environment. However, the previous measurement and analysis methods for the facade color in the urban street are limited to manual collection, which is challenging to carry out on a city scale. Recent emerging dataset street view image and deep learning have revealed the possibility to overcome the previous limits, thus bringing forward a research paradigm shift. In the experimental part, we disassemble the goal into three steps: firstly, capturing the street view images with coordinate information through the API provided by the street view service; then extracting facade images and cleaning up invalid data by using the deep-learning segmentation method; finally, calculating the dominant color based on the data on the Munsell Color System. Results can show whether the color status satisfies the requirements of its urban plan for façade color in the street. This method can help to realize the refined measurement of façade color using open source data, and has good universality in practice.
series	cdrf
email
last changed	2022/09/29 07:51

_id	ecaade2020_167
id	ecaade2020_167
authors	Newton, David, Piatkowski, Dan, Marshall, Wesley and Tendle, Atharva
year	2020
title	Deep Learning Methods for Urban Analysis and Health Estimation of Obesity
doi	https://doi.org/10.52842/conf.ecaade.2020.1.297
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. 297-304
summary	In the 20th and 21st centuries, urban populations have increased dramatically with a whole host of impacts to human health that remain unknown. Research has shown significant correlations between design features in the built environment and human health, but this research has remained limited. A better understanding of this relationship could allow urban planners and architects to design healthier cities and buildings for an increasingly urbanized population. This research addresses this problem by using discriminative deep learning in combination with satellite imagery of census tracts to estimate rates of obesity. Data from the California Health Interview Survey is used to train a Convolutional Neural Network that uses satellite imagery of selected census tracts to estimate rates of obesity. This research contributes knowledge on methods for applying deep learning to urban health estimation, as well as, methods for identifying correlations between urban morphology and human health.
keywords	Deep Learning; Artificial Intelligence; Urban Planning; Health; Remote Sensing
series	eCAADe
email
last changed	2022/06/07 07:58

_id	acadia20_130
id	acadia20_130
authors	Newton, David
year	2020
title	Anxious Landscapes
doi	https://doi.org/10.52842/conf.acadia.2020.2.130
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 130-137.
summary	Advances in the field of machine learning over the last decade have revolutionized artificial intelligence by providing a flexible means to build analytic, predictive, and generative models from large datasets, but the allied design disciplines have yet to apply these tools at the urban level to draw analytic insights on how the built environment might impact human health. Previous research has found numerous correlations between the built environment and both physical and mental health outcomes—suggesting that the design of our cities may have significant impacts on human health. Developing methods of analysis that can provide insight on the correlations between the built environment and human health could help the allied design disciplines shape our cities in ways that promote human health. This research addresses these issues and contributes knowledge on the use of deep learning (DL) methods for urban analysis and mental health, specifically anxiety. Mental health disorders, such as anxiety, have been estimated to account for the largest proportion of global disease burden. The methods presented allow architects, planners, and urban designers to make use of large remote-sensing datasets (e.g., satellite and aerial images) for design workflows involving analysis and generative design tasks. The research also contributes insight on correlations between anxiety prevalence and specific urban design features—providing actionable intelligence for the planning and design of the urban fabric.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_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	caadria2020_337
id	caadria2020_337
authors	Rubinowicz, Pawel
year	2020
title	Sustainable development of a cityscape using the Visual Protection Surface method - optimization of parameters for urban planning
doi	https://doi.org/10.52842/conf.caadria.2020.1.863
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 863-872
summary	The article discusses computer techniques used to analyse a cityscape based on 3D models. The study focuses on the application of the Visual Protection Surface (VPS) method which enables to analyse the absorption capacity of a city as regards new investment while bearing in mind the goal of preserving a set of strategic views. The outcome of the process is a surface or a map which determines the maximum height of buildings. The goal of the study is to adjust VPS input to apply the method in urban planning. Analyses focused on the following VPS parameters: a) accuracy of 3D model, b) density of strategic views, and c) VPS resolution. They have been carried out based on the case study of Gdansk, Poland. The study shows which of the parameters are crucial for the quality of the outcome and time of the computation process. All simulations presented in the article have been developed based on the C++ program prepared by author.
keywords	3D city models; cityscape protection; computational urban analyses; urban heritage; VPS method
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	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	ecaade2020_150
id	ecaade2020_150
authors	Stojanovski, Todor
year	2020
title	Role-playing planning games as educational tool - Experiences of teaching with educational games in Sweden
doi	https://doi.org/10.52842/conf.ecaade.2020.1.525
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. 525-534
summary	Teaching about cities and planning involves complexities of understanding urban development in space and time, evolution and transformation of cities, urban politics, actors and stakeholders. Delivering efficient ways of teaching, is very important for educators, particularly among lecturers at universities who work with urban planning and design. Games can be used as educational tools and role-playing games can capture the political struggle of different actors and stakeholders involved in planning processes. Games can enable students to experience urban development and take roles of different actors and stakeholders in the planning and development processes and practice the art of negotiations in urban politics. Two educational games were written for the planning courses at KTH Royal Institute of Technology, Sweden. Since 2011, 17 games were played in different courses. Data from the evaluation forms was collected on 14 games and 277 students answered questions. This paper analyses the evaluation forms and the comments of the students who took part in the games and discusses gaming as an educational tool. The experiences with role-playing planning games are very positive. These ratings occurs consistently in each game that was played with very small variations.
keywords	urban planning; urban design; role-playing games; education tool; teaching; gaming
series	eCAADe
email
last changed	2022/06/07 07:56

_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_534
id	ecaade2020_534
authors	Verniz, Debora and Duarte, José P
year	2020
title	From Analysis to Design - A framework for developing synthetic shape grammars
doi	https://doi.org/10.52842/conf.ecaade.2020.2.535
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. 535-544
summary	This paper focuses on the problem of lack of housing, due to fast urbanization processes and urban population growth, particularly in developing regions of the globe. The goal is to propose an alternative for planning housing settlements, using a computational-based approach, and having as a case study an existing Brazilian favela, Santa Marta. The paper proposes a strategy to bridge between the use of shape grammars from analysis to design, by performing changes on the rule level. The research includes the development of an analytical grammar that captures the physical features of the settlement and its subsequent transformation into a synthetic grammar that can generate urban configurations that keep key features of the original settlement while avoiding its flaws. The paper is focused on the grammatical transformations performed to the analytic grammar to obtain the synthetic grammar and its subsequent validation. Results show that the solutions generated by the synthetic grammar do have higher quality when compared to the case study. This strategy is proposed as a framework for the application of shape grammars in design.
keywords	shape grammars; grammatical transformations; Santa Marta favela; Santa Marta Urban Grammar
series	eCAADe
email
last changed	2022/06/07 07:58

_id	cdrf2019_134
id	cdrf2019_134
authors	Zhen Han, Wei Yan, and Gang Liu
year	2020
title	A Performance-Based Urban Block Generative Design Using Deep Reinforcement Learning and Computer Vision
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_13
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	In recent years, generative design methods are widely used to guide urban or architectural design. Some performance-based generative design methods also combine simulation and optimization algorithms to obtain optimal solutions. In this paper, a performance-based automatic generative design method was proposed to incorporate deep reinforcement learning (DRL) and computer vision for urban planning through a case study to generate an urban block based on its direct sunlight hours, solar heat gains as well as the aesthetics of the layout. The method was tested on the redesign of an old industrial district located in Shenyang, Liaoning Province, China. A DRL agent - deep deterministic policy gradient (DDPG) agent - was trained to guide the generation of the schemes. The agent arranges one building in the site at one time in a training episode according to the observation. Rhino/Grasshopper and a computer vision algorithm, Hough Transform, were used to evaluate the performance and aesthetics, respectively. After about 150 h of training, the proposed method generated 2179 satisfactory design solutions. Episode 1936 which had the highest reward has been chosen as the final solution after manual adjustment. The test results have proven that the method is a potentially effective way for assisting urban design.
series	cdrf
email
last changed	2022/09/29 07:51

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

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

_id	cdrf2021_13
id	cdrf2021_13
authors	Hao Wen, Pengcheng Gu, Yuchao Zhang, Shuai Zou, and Patrik Schumacher
year	2021
title	A Generative Approach to Social Ecologies in Project [Symbios]City
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_2
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	The following paper talks about the studio project [Symbios]City, which is developed as a design research project in 2020–2021 Schumacher’ studio on social ecology of the graduate program in Architectural Association’s design research lab. The project aims to create an assemblage of social ecologies through a rich but cohesive multi-authored urban district. The primary ambition is to generate an urban area with a characterful, varied identity, that achieves a balanced order between unity and difference avoiding both the sterile and disorienting monotony of centrally planned modernist cities and the (equally disorienting) visual chaos of an agglomeration of utterly unrelated interventions as we find now frequently. Through a thorough research process, our project evolves mainly out of three principles that are taken into consideration for the development of our project: topological optimization, phenomenology, and ecology. By “ecology”, we understand it as a living network of information exchange. Therefore, every strategy we employ is not merely about reacting to the weather conditions, but instead it is an inquiry into the various ways we can exploit the latter, a translation of the weather conditions into spatial and programmatic properties. [Symbios]City therefore aims at developing a multi-authored urban area with a rich identity that achieves a balance between the various elements. [Symbios]City began formally from topological optimization, developed based on studies on ecology, and concluded the design following our phenomenological explorations, aiming at a complex design project that unifies the perception of all scales of design: from the platform to the skyscrapers.
series	cdrf
email
last changed	2022/09/29 07:53

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

_id	acadia20_84
id	acadia20_84
authors	Kirova, Nikol; Markopoulou, Areti
year	2020
title	Pedestrian Flow: Monitoring and Prediction
doi	https://doi.org/10.52842/conf.acadia.2020.1.084
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 84-93.
summary	The worldwide lockdowns during the first wave of the COVID-19 pandemic had an immense effect on the public space. The events brought up an opportunity to redesign mobility plans, streets, and sidewalks, making cities more resilient and adaptable. This paper builds on previous research of the authors that focused on the development of a graphene-based sensing material system applied to a smart pavement and utilized to obtain pedestrian spatiotemporal data. The necessary steps for gradual integration of the material system within the urban fabric are introduced as milestones toward predictive modeling and dynamic mobility reconfiguration. Based on the capacity of the smart pavement, the current research presents how data acquired through an agent-based pedestrian simulation is used to gain insight into mobility patterns. A range of maps representing pedestrian density, flow, and distancing are generated to visualize the simulated behavioral patterns. The methodology is used to identify areas with high density and, thus, high risk of transmitting airborne diseases. The insights gained are used to identify streets where additional space for pedestrians is needed to allow safe use of the public space. It is proposed that this is done by creating a dynamic mobility plan where temporal pedestrianization takes place at certain times of the day with minimal disruption of road traffic. Although this paper focuses mainly on the agent-based pedestrian simulation, the method can be used with real-time data acquired by the sensing material system for informed decision-making following otherwise-unpredictable pedestrian behavior. Finally, the simulated data is used within a predictive modeling framework to identify further steps for each agent; this is used as a proof-of-concept through which more insights can be gained with additional exploration.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

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