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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	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	sigradi2023_219
id	sigradi2023_219
authors	Fiuza, Rebeca, Cardoso, Daniel, Moreira, Eugenio, Colares, Teresa, Freitas, Vitória and Paiva, Ricardo
year	2023
title	Correlations between urban and demographic data and COVID-19 data: a case study in Fortaleza, Brazil
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1667–1678
summary	COVID-19 was a sanitary crisis of international impact. However, its effects weren’t experienced equally. In Fortaleza, epidemiological reports (2021;2022) point to different infection patterns between high Human Development Index (HDI) and low HDI neighborhoods, which surfaced the hypothesis that certain territories’ characteristics could correlate to COVID-19 data. This article describes a phase of a three-phase research, whose objective is to identify correlations between urban and demographic (UD) data to COVID-19 data. To this, a literature review was done to select seven UD variables and four COVID-19 ones, then, Spearman’s correlation was applied in four pandemic time frames (TF). Results show that literacy rates, monthly income and energy have either low or moderate positive correlations with contamination rates in most TF. However, they’ve shown low or moderate correlations with lethality rates in three TF. Population density showed low positive correlations to either lethality rates or total number of deaths in three TF.
keywords	COVID-19, Urban Data, Demographic Data, Spearman's Coefficient Correlation, Public Health
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	caadria2021_311
id	caadria2021_311
authors	Gu, Xiangshu, Tian, Shulin, Zhang, Baihui, Tong, Ziyu and Gan, Jingwen
year	2021
title	SECTIONMATRIX - Mapping Urban Form through Urban Sections
doi	https://doi.org/10.52842/conf.caadria.2021.2.599
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 599-608
summary	Most of the traditional studies on urban morphology are based on aerial views. However, the 2D plane model fails to describe the height information of buildings and the relation of buildings and the urban external space. An urban section is another map of an urban area. Through a series of continuous vertical urban slices, the city texture can be transformed into planar linear information containing height and width information. This paper proposes several indicators to describe a series of urban section slices and uses a three-dimensional coordinate mapping method Sectionmatrix to quantify and analyze the relation between the physical geometrical indicators and urban form from the section perspective. Through the case analysis of multiple residential blocks in Nanjing, China, the results showed that Sectionmatrix is convenient and efficient. Sectionmatrix relates the geometrical properties to the spatial characteristics of urban areas and provides a new way to classify, map and define building typologies. This new classification method reveals the tortuosity and complexity of residential blocks. By bridging the gap between quantity and form, the research also suggests other possible applications of Sectionmatrix as a control instrument and test framework for entire cities planning and design.
keywords	Urban Morphology; Urban Section; Sectionmatrix; Quantitative Analysis
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	sigradi2021_211
id	sigradi2021_211
authors	Gutiérrez, Arturo F., Roig, Jeshua H. and Martínez, Carlos D.
year	2021
title	Markets Post Covid-19: Agent-Based Computational Validation Methodology For Urban Interventions On Spontaneous "Informal Street Markets" In Public Spaces
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 265–275
summary	The Covid-19 health crisis has turned spontaneous “informal street markets” into dangerous hotspots for the spread of Covid-19 due to the formation of crowds of people. These informal markets are due to a lack of state planning and regulation, a reality that exists throughout Latin America. This research aims to analyse these spaces through a methodology for computational validation that uses an agent-based model (ABM) for the abstraction and simulation of the displacement of people (moving agents) and their behaviour in the spatial configuration of the area (static agents), identifying an aggregated score in each simulation with the purpose of designing urban interventions that reduce the probability of forming crowds. The paper presents the proposed methodology and the ABM with a preliminary validation by simulating two spatial configurations with two hypothetical scenarios (analyses with 10 and 50 agents) and comparing their aggregated scores, showing a correlation between spatial configuration with the formation of crowds.
keywords	ABM, simulación espacial, modelo estocástico, diseno computacional, mercados
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	caadria2021_354
id	caadria2021_354
authors	Huang, Chenyu, Gong, Pixin, Ding, Rui, Qu, Shuyu and Yang, Xin
year	2021
title	Comprehensive analysis of the vitality of urban central activities zone based on multi-source data - Case studies of Lujiazui and other sub-districts in Shanghai CAZ
doi	https://doi.org/10.52842/conf.caadria.2021.2.549
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 549-558
summary	With the use of the concept Central Activities Zone in the Shanghai City Master Plan (2017-2035) to replace the traditional concept of Central Business District, core areas such as Shanghai Lujiazui will be given more connotations in the future construction and development. In the context of todays continuous urbanization and high-speed capital flow, how to identify the development status and vitality characteristics is a prerequisite for creating a high-quality Central Activities Zone. Taking Shanghai Lujiazui sub-district etc. as an example, the vitality value of weekday and weekend as well as 19 indexes including density of functional facilities and building morphology is quantified by obtaining multi-source big data. Meanwhile, the correlation between various indexes and the vitality characteristics of the Central Activities Zone are tried to summarize in this paper. Finally, a neural network regression model is built to bridge the design scheme and vitality values to realize the prediction of the vitality of the Central Activities Zone. The data analysis method proposed in this paper is versatile and efficient, and can be well integrated into the urban big data platform and the City Information Modeling, and provides reliable reference suggestions for the real-time evaluation of future urban construction.
keywords	multi-source big data; Central Activities Zone; Vitality; Lujiazui
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2021_046
id	ecaade2021_046
authors	Lorenz, Wolfgang E., Faller, Arnold and Wurzer, Gabriel
year	2021
title	DAttE - Detection of Attic Extensions - Workflow to analyze the potentials of roofs in an urban environment
doi	https://doi.org/10.52842/conf.ecaade.2021.1.375
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 375-384
summary	European cities like Vienna are characterized by strong growth and, as a result, by high demand for living space. Extending the attic is one way of meeting this demand. However, there is a lack of data to know which roofs are already expanded and to what extent. The city is interested in the data in two ways: firstly, in relation to the distribution of potentials (a possible change in population density, for example, has an impact on infrastructure and parking space) and, secondly, in relation to the material composition (city as a material resource). This paper provides a workflow to fill this gap of knowledge. The new methods of detecting attic extensions are described and a case study is given at the end to show workability.
keywords	point clouds; thermal detection; drone detection; participation
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2021_191
id	caadria2021_191
authors	Shou, Xinyue, Chen, Pinyang and Zheng, Hao
year	2021
title	Predicting the Heat Map of Street Vendors from Pedestrian Flow through Machine Learning
doi	https://doi.org/10.52842/conf.caadria.2021.2.569
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 569-578
summary	Street vending is a recent policy advocated by city governments to support small and intermediate businesses in the post-pandemic period in China. Street vendors select their locations primarily based on their intuitions about the surrounding environment; they temporarily occupy popular locations that benefit their business. Taking the city of Chengdu as an example, this study aims to formulate the rules governing vendors location selection using machine learning and big data analysis techniques, thus identifying streets likely to become vital street markets. We propose a semantic segmentation method to construct heat maps that visualize and quantify the distribution of street vendors and pedestrians on public urban streets. The image-based generative adversarial network (GAN) is then trained to predict the vendors heat maps from the pedestrians heat map, finding the relationship between the locations of the vendors and the pedestrians. Our successful prediction of the vendors locations highlights machine learning techniques ability to quantify experience-based decision strategies. Moreover, suggesting potential marketing locations to vendors could help increase cities vitality.
keywords	Machine Learning; Big Data Analysis; Semantic Segmentation; Generative Adversarial Networks
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	sigradi2021_139
id	sigradi2021_139
authors	Soares, Mateus, Guimaraes, Carolina and Cardoso, Daniel
year	2021
title	Pandemic, City and Planning: The Importance of Systematizing Covid-19 Data in Fortaleza
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 291–302
summary	The COVID-19 pandemic generated great changes in world societies, and Brazilian cities felt strongly the effects of the disease in physical and social aspects. Thus, this article seeks to describe a work experience involving COVID-19 data for use in urban planning analyses. Its main methodology is the treatment of data about the pandemic in the city of Fortaleza and georeferencing these to generate urban readings. The work resulted in a shapefile file that could be shared among those who wanted to research how the dissemination of the new coronavirus was influenced by specific urban issues in the city of Fortaleza, in addition to generating learning for the students involved in the process. From this it was possible to observe the importance of discussions both on urban policies and the importance of data in urban planning models adopted in the country in view of the new pandemic situation.
keywords	Modelagem da Informaçao, Base de Dados, Covid-19
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	sigradi2021_358
id	sigradi2021_358
authors	Tosello, Maria Elena, Mines, Patricia, Jereb, Marcelo, Rainaudo, Verónica, Longoni, Agustín, Carboni, Lucía, Saucedo, Santiago and Picco, Camila
year	2021
title	Designing (at) the Edges: Urban Interfaces and Hybrid Habitats
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1359–1370
summary	This interdisciplinary work, which integrates teaching, research and extension, incorporated students from 5 Latin American universities of Architecture and different Design Degrees. The experience that was developed in the first semester of 2021, during the Covid-19 pandemic, deals with the contribution that design and digital media can make to the social problems of local communities. Through the collaborative design of artifacts, interfaces, spaces and representations that articulate the natural, the artificial and the digital, the objective was to value and make visible the natural and cultural heritage of "La Boca", a coastal neighborhood of the city of Santa Fe, located in the flood valley of the Paraná River. Innovative ideas were provided to drive sustainable development processes through proposals that rescue the knowledge and resources of the place using digital mediations. The article analyzes the conceptual bases, methodology and results of this difficult but original experience.
keywords	collaborative design, digital media, community tourism, technopolitics
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_064
id	caadria2021_064
authors	Yang, Chunxia, Liu, Mengxuan, Zhan, Ming, Lyu, Chengzhe and Fan, Zhaoxiang
year	2021
title	Research on the Influence of Microclimate on Recreation Behavior in Urban Waterfront Public Space - Based on Multi-agent Behavior Simulation
doi	https://doi.org/10.52842/conf.caadria.2021.2.417
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 417-426
summary	Microclimate is one of the important components of the city environment. Previous researches on public space focused on the influence of spatial forms on user behavior, while ignoring the microclimate elements. This makes it difficult to be authentic of further recreational behavior simulation. The study puts forward a new path to study the influence of microclimate on recreational behavior. Taking the waterfront public space as an example, through the combination of field investigation and microclimate simulation, the influence of wind, temperature, and sunshine environment on residents recreational is explored, and the influence will be merged into the recreational behavior simulation. In the process of behavior simulation, the microclimate environment classification evaluation map is used. The study committed to achieve a higher degree of adaption between behavior simulation results and actual conditions. The study introduced microclimate influence factors on the basis of the influence of urban spatial form and service facility elements on behavior activities in the past. Based on that, we optimize the simulation method of urban public space recreational behavior, and improve the accuracy of space diagnosis through showing the impact of microclimate on the behavior of people in the space more objectively and intuitively.
keywords	Behavior simulation; Microclimate; Waterfront public space
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2021_075
id	caadria2021_075
authors	Yang, Chunxia, Lyu, Chengzhe, Yao, Ziying and Liu, Mengxuan
year	2021
title	Study on the Differences of Day and Night Behavior in Urban Waterfront Public Space Based on Multi-agent Behavior Simulation
doi	https://doi.org/10.52842/conf.caadria.2021.2.559
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 559-568
summary	In the twenty-four hour city era, how to optimize public spaces based on night behavior demands to promote full-time use has become a significant issue of urban design. Taking Shanghai North Bund as an example, the study collects data through site survey and questionnaire including environment elements, users attribute and behaviors. Next, the study sets up the simulation environment and translate the interaction of space and behavior into model language. Then, by setting up agent particles, running and fitting, the study obtains an ideal model. Finally, through sub-simulation and analysis, the study quantitatively explores the interaction mechanism between the physical environment and behavior from three levels of different spaces, different groups of people and different light conditions. The study finds that the differences of day and night behavior are produced under the combined effect of changes in attractiveness of environmental elements and changes in users demands and preferences. Compared with adults, the behaviors of elderly people and children show more obvious differences between day and night, and are more susceptible to space lighting, ground conditions and operating hours of facilities. Furthermore, the same kind of environment element will further affect users behavior in the night under different light conditions.
keywords	Self-Organization Behavior; Behavior Differences; Day and Night; Multi-Agent Behavior Simulation; Waterfront Public Space
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2021_216
id	caadria2021_216
authors	Aman, Jayedi, Tabassum, Nusrat, Hopfenblatt, James, Kim, Jong Bum and Haque, MD Obidul
year	2021
title	Optimizing container housing units for informal settlements - A parametric simulation & visualization workflow for architectural resilience
doi	https://doi.org/10.52842/conf.caadria.2021.1.051
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 51-60
summary	In rapidly growing cities like Dhaka, Bangladesh, sustainable housing in urban wetlands and slums present a challenge to more affordable and livable cities. The Container Housing System (CHS) is among the latest methods of affordable, modular housing quickly gaining acceptance among local stakeholders in Bangladesh. Even though container houses made of heat-conducting materials significantly impact overall energy consumption, there is little research on the overall environmental impact of CHS. Therefore, this study aims to investigate the performance of CHS in the climatic context of the Korail slum in Dhaka. The paper proposes a building envelope optimization and visualization workflow utilizing parametric cluster simulation modeling, multi-objective optimization (MOO) algorithms, and virtual reality (VR) as an immersive visualization technique. First, local housing and courtyard patterns were used to develop hypothetical housing clusters. Next, the CHS design variables were chosen to conduct the MOO analysis to measure Useful Daylight Illuminance and Energy Use Intensity. Finally, the prototype was integrated into a parametric VR environment to enable local stakeholders to walk through the clusters with the goal of generating feedback. This study shows that the proposed method can be implemented by architects and planners in the early design process to help improve the stakeholders understanding of CHS and its impact on the environment. It further elaborates on the implementation results, challenges, limitations of the parametric framework, and future work needed.
keywords	Multi-objective Optimization; Building Energy Use; CHS; Informal Settlements; Parametric VR
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia21_160
id	acadia21_160
authors	Cao, Shicong; Zheng, Hao
year	2021
title	A POI-Based Machine Learning Method in Predicting Health
doi	https://doi.org/10.52842/conf.acadia.2021.160
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 160-169.
summary	This research aims to explore the quantitative relationship between urban planning decisions and the health status of residents. By modeling the Point of Interest (POI) data and the geographic distribution of health-related outcomes, the research explores the critical factors in urban planning that could influence the health status of residents. It also informs decision-making regarding a healthier built environment and opens up possibilities for other data-driven methods. The data source constitutes two data sets, the POI data from OpenStreetMap, and the PLACES: Local Data for Better Health dataset from CDC. After the data is collected and joined spatially, a machine learning method is used to select the most critical urban features in predicting the health outcomes of residents. Several machine learning models are trained and compared. With the chosen model, the prediction is evaluated on the test dataset and mapped geographically. The relations between factors are explored and interpreted. Finally, to understand the implications for urban design, the impact of modified POI data on the prediction of residents' health status is calculated and compared. This research proves the possibility of predicting resident's health from urban conditions with machine learning methods. The result verifies existing healthy urban design theories from a different perspective. This approach shows vast potential that data could in future assist decision-making to achieve a healthier built environment.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2021_326
id	ecaade2021_326
authors	Chan, Holly, Brown, Andre, Moleta, Tane and Schnabel, Marc Aurel
year	2021
title	Augmented Spaces - If walls could talk
doi	https://doi.org/10.52842/conf.ecaade.2021.2.575
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 575-584
summary	This paper explores the development of Augmented Spaces that involve embedding within the built environment, digitally responsive recognition of human presence. Contemporary digital media provides the opportunity to enhance physical space with the property of immediate interaction, which results in a high level of user engagement and responsivenenss. Through the addition of digital media, emotional and reflective value can be added to the built form. If space is designed to be reactive, rather than passive, a dialogue can be established between the user/inhabitant and the environment. We report on the establishment and analysis of a set of prototype digital interventions in urban space that react to human presence. One is in a building threshold space; one an urban street. We describe the development of a digital particle system with two inputs; the first being the geometry that generates the particles and the second being the geometry that displaces the particles. The research goals that we report on are driven by three over-riding response criteria, Visceral, Behavioural and Reflective.
keywords	augmented space; reactive; synesthetic
series	eCAADe
email
last changed	2022/06/07 07:56

_id	sigradi2021_263
id	sigradi2021_263
authors	de Oliveira, Lucas, Poeta Mangrich, Camila, Pavan, Luís Henrique, Almeida, Renato and Kós, José
year	2021
title	University Campus Walkability Index Supported by Digital Databases
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 303–314
summary	Studies on the university campus commonly consider its spatial particularities in comparison to the city. However, the university debate about mobility also addresses urban-related challenges, like those posed by the dependence on vehicles and incentives for active mobility. Considering internal mobility, this work explores Wi-Fi connections from a Brazilian public university to trace community trajectories and population density on campus. We adopted objective data from the built environment for the application of a walkability index. The procedures were performed using GIS and the results shared for visualization in the Kepler.gl application. The results include walkability indices for different campus sectors. The discussion focuses on the potential use of the index in promoting a more integrated and less automobile-dependent campus.
keywords	visualizaçao de dados, ciencia de dados, wi-fi, campus universitário, desenho urbano
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	ascaad2021_025
id	ascaad2021_025
authors	Fekry, Ahmed; Reham El Dessuki, Mai Abdalaty
year	2021
title	Using ENVI-met to Simulate the Climatic Behavior of Green Elements in Urban Spaces
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 341-354
summary	The urban environment is nothing but the product of the permanent interaction between the physical elements that make up the urban space and the corresponding climatic factors. This relationship is similar to a chemical reaction, hence the difficulty of anticipating and dealing with such complex relationships. As a result, designers resort to the use of simulation software. Designers in the area of urban design must be fully aware of the ways to use these programs optimally and check the impact of the use of green elements within urban spaces in advance during the design process before practical implementation. This paper aims to integrate the design of urban spaces with the simulation of climatic behavior using ENVI-met climatic simulation software. It also aims to determine the impact of using the optimal ratio of green elements in urban spaces on the thermal comfort of their users (using two example urban spaces at the American University in New Cairo and Princess Noura University in Riyadh).
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ascaad2021_065
id	ascaad2021_065
authors	Fraschini, Matteo; Julian Raxworthy
year	2021
title	Territories Made by Measure: The Parametric as a Way of Teaching Urban Design Theory
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 494-506
summary	Design tools like Grasshopper are often used to either generate novel forms, to automate certain design processes or to incorporate scientific factors. However, any Grasshopper definition has certain assumptions about design and space built into it from its earliest genesis, when the initial algorithm is set out. Correspondingly, implicit theoretical positions are built into definitions, and therefore its results. Approaching parametric design as a question of architectural, landscape architectural or urban design theory allows the breaking down of traditional boundaries between the technical and the historical or theoretical, and the way parametric design, and urban design history & theory, can be conveyed in the teaching environment. Once the boundaries between software and history & theory are transgressed, Grasshopper can be a way of testing the principles embedded in historical designs and thus these two disciplines can be joined. In urban design, there is an inherent clash between an ideal model and existing urban geography or morphology, and also between formal (qualitative) and numerical (quantitative) aspects. If a model provides a necessary vision for future development, an existing topography then results from the continuous human and natural modifications of a territory. To explore this hypothesis, the “Urban Design Representation” subject in the Master of Urban Design program at the University of Cape Town taught in 2017 & 2018 was approached “parametrically” from these two opposite, albeit convergent, starting points: the conceptual/rational versus the physical/empiric representations of a territory. In this framework, Grasshopper was used to represent typical standards and parameters of modern urban planning (for example, Floor/Area Ratio, height and distance between buildings, site coverage, etc), and a typological approach was adopted to study and “decode” the relationship between public and private space, between the street, the block and topography, between solids and voids. This methodology permits a cross-comparison of different urban design models and the immediate evaluation of their formal outputs derived from parametric data.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ascaad2021_113
id	ascaad2021_113
authors	Gün, Ahmet; Burak Pak, Yüksel Demir
year	2021
title	Technology-Driven Participatory Spatial Design in a Developing World Context: The Case of Istanbul
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 551-567
summary	Nowadays, ICT-based participatory design methods, techniques and tools are increasingly used across the globe. A majority of these are employed in high-income “developed” countries with advanced democratic systems which aim at including citizens; desires, needs, proposals as valuable input in city-making processes. In contrast, in the Global South, only a limited number of ICT-based practices aim to empower the citizens in urban design and planning at higher instances. There is a need for deeper research into how citizens can be involved in urban design in developing countries like Turkey situated in between the Global North and the South. In this context, this research will focus on Istanbul, Turkey as a key case. Different than the developed world context, enabling ICT-based participation in Turkey has a wide range of challenges. Among those are the lack of open and governmental data and transparency, the unwillingness of the policymakers to promote and employ participatory design, top-down approaches are the other weak points of these countries. Responding to these challenges, the aims of this study are: 1) to critically address the weaknesses and requirements of existing urban development practices in developing countries with a focus on Turkey, Istanbul and 2) to discuss the possible potentials of ICT-based participation tools and techniques to involve citizens in city-making processes.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ecaade2021_114
id	ecaade2021_114
authors	Hadighi, Mahyar
year	2021
title	Towards a Configurable Hybridity in Historic Preservation and Design
doi	https://doi.org/10.52842/conf.ecaade.2021.2.293
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 293-302
summary	This paper fulfills the dual purpose of developing a systematic methodology for designing new constructions and adding to or revivifying existing buildings in historic neighborhoods and demonstrating an effective pedagogy in regard to historic preservation at the undergraduate level. A previously developed methodology for verifying and analyzing hybridity in architectural design is expanded as a foundation for designing an addition to a historic building in a famous urban context, i.e., a registered historic structure in the museum district of New York City. Shape grammar as a computational design methodology is used to analyze the historic fabric of the urban area and to create a configurable hybrid design that is both compatible with that context and reflective of the needs and design of the contemporary urban setting. The validity of shape grammar as a methodology for designing configurable hybrid constructions in historic neighborhoods and its effectiveness in relation to a teaching focus on historic preservation are considered through an analysis of projects from an upper-undergraduate-level architectural design studio. The students used the shape grammar methodology to analyze and understand historic contexts and features in order to generate new designs for the given context.
keywords	Configurable hybridity; Historic preservation ; Shape grammar; Neue Galerie; Vienna Secession
series	eCAADe
email
last changed	2022/06/07 07:49

_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

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