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	cdrf2021_242
id	cdrf2021_242
authors	Waishan Qiu , Wenjing Li, Xun Liu, and Xiaokai Huang
year	2021
title	Subjectively Measured Streetscape Qualities for Shanghai with Large-Scale Application of Computer Vision and Machine Learning
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_23
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	Recently, many new studies emerged to apply computer vision (CV) to street view imagery (SVI) dataset to objectively extract the view indices of various streetscape features such as trees to proxy urban scene qualities. However, human perceptions (e.g., imageability) have a subtle relationship to visual elements which cannot be fully captured using view indices. Conversely, subjective measures using survey and interview data explain more human behaviors. However, the effectiveness of integrating subjective measures with SVI dataset has been less discussed. To address this, we integrated crowdsourcing, CV, and machine learning (ML) to subjectively measure four important perceptions suggested by classical urban design theory. We first collected experts’ rating on sample SVIs regarding the four qualities which became the training labels. CV segmentation was applied to SVI samples extracting streetscape view indices as the explanatory variables. We then trained ML models and achieved high accuracy in predicting the scores. We found a strong correlation between predicted complexity score and the density of urban amenities and services Point of Interests (POI), which validates the effectiveness of subjective measures. In addition, to test the generalizability of the proposed framework as well as to inform urban renewal strategies, we compared the measured qualities in Pudong to other five renowned urban cores worldwide. Rather than predicting perceptual scores directly from generic image features using convolution neural network, our approach follows what urban design theory suggested and confirms various streetscape features affecting multi-dimensional human perceptions. Therefore, its result provides more interpretable and actionable implications for policymakers and city planners.
series	cdrf
last changed	2022/09/29 07:53

_id	ecaade2021_145
id	ecaade2021_145
authors	Wu, Shaoji
year	2021
title	The Cognition of Residential Convenience Areas Based on Street View Image's Entropy and Complexity - Beijing as an example
doi	https://doi.org/10.52842/conf.ecaade.2021.1.545
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. 545-554
summary	This paper quantifies the convenience of living in Beijing by calculating street view image's two inherent properties, entropy and complexity. The image's entropy H can measure the degree of disorder in its pixel arrangement, and the complexity C can measure the "structure" of its pixel arrangement. The study methodology can be divided into four steps as follows. (1) 20,194 Baidu Street View (BSV) images of random geographic coordinates within the study area are crawled as the dataset. (2) Calculate the entropy and complexity of each image separately and plot the entropy-complexity plane. (3) Clustering of data points on the entropy-complexity plane using the K-means algorithm. (4) Analysis of the geographical distribution of the different cluster's data points. The following two conclusions can be drawn from this research. Firstly, low entropy and high complexity street view images can characterize built-up urban areas where the sky occupies a large area, and its buildings are usually more uniform. Conversely, high-entropy and low-complexity images can characterize areas with the more complex built-up environment. Secondly, street view images representing high residential convenience areas in Beijing are characterized by high entropy and low complexity.
keywords	Street View Image; Entropy; Complexity; Residential Convenience
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2021_159
id	ecaade2021_159
authors	Yazicioglu, Gülin and Gürsel Dino, Ipek
year	2021
title	From Streetscape to Data - Semantic segmentation for the prediction of outdoor thermal comfort
doi	https://doi.org/10.52842/conf.ecaade.2021.1.555
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. 555-562
summary	In recent years, the increasing pace of urbanization is expected to increase the temperatures in urban contexts and amplify the Urban Heat Island effect. This phenomenon has a negative impact on the urbanites' thermal comfort in outdoor spaces. Modeling and simulation-based approaches can precisely calculate outdoor thermal comfort; however, they are labor-intensive and high in computational cost. This difficulty might discourage decision-makers to consider outdoor thermal comfort conditions, which can affect their strategies at the beginning stage of design. This paper aims to propose a statistical model that can predict outdoor comfort using semantic segmentation of 2D street view images. Firstly, 78 panoramic street images of selected three streets in Istanbul are used to calculate the specific object classes that have an influence on outdoor temperature using semantic segmentation. Following, the streets' outdoor thermal comfort is calculated in Ladybug/Grasshopper. Lastly, two multi-variate regression models are built using the percentages of these object classes in each image and outdoor thermal comfort in given locations on the streets. Initial results show that the proposed regression models can predict UTCI with R2=0.78 and R2=0.80, indicating the semantic segmentation can support the calculation of outdoor comfort.
keywords	multivariate linear regression model; semantic segmentation; universal thermal climate index (UTCI)
series	eCAADe
email
last changed	2022/06/07 07:57

_id	caadria2021_146
id	caadria2021_146
authors	Calixto, Victor, Canuto, Robson, Noronha, Marcela, Afrooz, Aida, Gu, Ning and Celani, Gabriela
year	2021
title	A layered approach for the data-driven design of smart cities
doi	https://doi.org/10.52842/conf.caadria.2021.2.739
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. 739-748
summary	Current approaches to smart cities have focused on implementing technologies to harvest and analyse data through sensors and artificial intelligence to improve urban performance from the top-down. However, cities are complex systems of interconnected layers that change at different speeds. More persistent layers, like networks and occupation, must have smartness embedded in them through smarter design processes. In recent years, there has been an increase in digital tools for urban design, applying computational design methods and data analytics strategies, enabling collaborative and evidence-based approaches that support sustainable urban design. A critical evaluation of their potential to inform design is necessary to aid practitioners to choose and adopt these novel strategies and tools in practice. This paper presents a critical review of selected data-driven design cloud platforms, focusing on data-driven urban design approaches that can enable the use of ICTs to steer cities into a smarter future from the bottom-up.
keywords	Smart Cities; Data-Driven Urban Design; Computational Design
series	CAADRIA
email
last changed	2022/06/07 07:54

_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	sigradi2023_476
id	sigradi2023_476
authors	Ena, Valeria and Ferreira Magalhaes, Alex
year	2023
title	Ruling the Urban Block: a Discussion over Rio de Janeiro's New Master Plan Proposal Parameters.
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. 373–384
summary	The paper aims to analyse the parameters for dimensioning the urban block in the context of the ongoing debate over Rio de Janeiro's new Master Plan (PLC N°44/2021). The analysis focuses on three main points: (1) the definition of the block, (2) the discrepancies found in this regard in the land parcelling system, and (3) the limitations that gated communities impose on the parameterisation of the block. The paper briefly relates the role of the master plan in Brazilian urban policy. Next, it points out the arguments that emerged during the public hearings over the new proposed master plan regarding block sizing. Then, it analyses Rio's urban law framework and the literature regarding the city's road network, cul-de-sac structures and gated communities, supported by the blocks and the streets georeferenced maps available at the Rio's Municipality and the Open Street Maps platform. Finally, it discusses the analysis outcomes with the arguments that emerged during the public hearings regarding block sizing.
keywords	Parametric Design, City parameters, Gated communities, Cul-de-sac, Street continuity
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	ascaad2021_028
id	ascaad2021_028
authors	Fahmy, Marwa
year	2021
title	Applying Urban Parametricism in the Design of Dynamic Neighborhoods
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. 646-660
summary	Neighborhoods are considered basic spatial units of an urban area. Their forms have complex and hierarchical structures that contain building layouts, street segments, street networks and etc.. The traditional ways of computationally producing neighborhoods have proven incompetence. Some of these conventional ways focus on the morphological approaches, but they do not include all urban features. Meanwhile, other models that can design urban features have limited formulation flexibility. Besides the absence of dynamic generation behavior as they don’t use parametric techniques. They lack interactivity with the surroundings as they don’t use streets as the main generator of neighborhoods. Additionally, they don’t have the ability of automatically analyzing the site. Other models are generated for a specific location and miss the interactivity with other sites. This study implements parametric techniques to generate an urban model with wide design varieties. Furthermore, the model has dynamic morphological behavior, capable of interacting with the designer's modifications. This study focuses on the streets and grid as the dominant element of neighborhoods. The study also presents a predefined function in the scripting process. The model also proposes a python switcher to allow easy accessing all the inputs. Also, the research converts the elements to be more interactive, responsive, flexible, and dynamic. Therefore, all the neighborhood elements are simultaneously created according to user requirements. The study method is divided into three stages: Decomposition, Formulation, Modeling, and evaluation. Each process is defined with its tools, inputs, and parameters.
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	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_157
id	caadria2021_157
authors	Huang, Xiaoran, Kimm, Geoff and Burry, Mark
year	2021
title	Exploiting game development environments for responsive urban design by non-programmers - melding real-time ABM pedestrian simulation and form modelling in Unity 3D
doi	https://doi.org/10.52842/conf.caadria.2021.2.689
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. 689-698
summary	Precinct-level pedestrian simulation often requires moderate to high-level modelling skills with a steep learning curve, and is usually non-flexible, time-consuming and exclusive of the broader public community. Confronting these problems, our research investigates a novel and agile workflow to test precinct pedestrian behaviours by melding agent-based simulation (ABM) and responsive real-time form modelling mechanisms within accessible visualisation of city and precinct environments in a game engine, Unity 3D. We designed an agent system prototype of configurable and interoperable nodes that may be placed in an urban modelling scenario. Realtime CSG, a fast polygon-based modelling plugin, is also introduced to our workflow where users can use the evidence observed when running a scenario to quickly adjust the street morphology and buildings in response. In this process, end users are kept in the design loop and may make critical adjustments, whereby a responsive, collective, informed design agenda for our built environments can inform more detailed outcomes of pedestrian behaviour and action and promote more efficient collaborations for both professionals and local communities.
keywords	Agent-based pedestrian simulation; responsive modelling; computer-aided urban design; public participation
series	CAADRIA
email
last changed	2022/06/07 07:49

_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	caadria2021_056
id	caadria2021_056
authors	Yang, Chunxia, Xu, Chen, Lyu, Chengzhe and Zhan, Ming
year	2021
title	Differences between Behavior Simulation and Space Syntax in the Study of Urban Texture - Considering the Street System and Property Right Plots
doi	https://doi.org/10.52842/conf.caadria.2021.2.367
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. 367-376
summary	The study applies two methods of behavioral simulation and space syntax to study waterfront accessibility from the urban texture levels of street system and property plot, exploring two methods differences, advantages and disadvantages in terms of simulation principle, fitting precision, and calculating results. The North Bund area of Shanghai is selected as the research sample. And the software of AnyLogic and Depthmap which are mostly used in the fields of behavior simulation and space syntax are used. The results are:Behavior simulation can visually reflect the usage condition of specific spaces through micro behavior data such as pedestrian flow, walking time, etc. But it has limitation in precision and stability of calculation, and the model need much time to construct and run if the site is large. Space syntax is more mature in accessibility analysis with high precise indexes such as choice and integration degree. However, the fitting precision between the output and real situation is lower than behavior simulation, and it cant directly evaluate the capacity and service level of the urban space. In general, both behavior simulation and space syntax can be applied to urban space research and have their own advantages and disadvantages, and complementary in between.
keywords	behavior simulation; space syntax; method comparison; urban texture; waterfront
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2021_151
id	ecaade2021_151
authors	Zolghadrasli, Niloofar, Hadighi, Mahyar and Costa, Eduardo
year	2021
title	Computational Generation of Hybrid Façades for a Focal Context - The case of Naser-Khosrow Street in Tehran
doi	https://doi.org/10.52842/conf.ecaade.2021.2.333
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. 333-340
summary	The purpose of this paper is to use shape grammar methodology to generate contextualized urban façades within the focal context of Naser-Khosrow Street in Iran's capital city of Tehran. The history of Naser-Khosrow Street, which is considered a significant historic urban space, begins in the Safavid period (1735-1501). Yet, the urban history and historical significance of this street have been neglected in recent years. Evidence of a sense of turmoil and incompatibility between the modern and traditional architectural façades featured on the street is easily observed. Against this background, this paper offers façade models generated based on the computational methodology developed by Hadighi and Duarte (2019, 2020) to determine and capture the hybrid expression of European modernist and American traditional styles. In this spirit, the systematic methodology of shape grammar is expanded to the focal urban area of Naser-Khosrow Street to generate new façade layouts referencing the characteristic features of some of the iconic buildings located there.
keywords	Shape Grammar, Naser -Khosrow Street, Façade Design, Generating Hybridity
series	eCAADe
email
last changed	2022/06/07 07:57

_id	sigradi2021_346
id	sigradi2021_346
authors	Chagas, Icaro and Braida, Frederico
year	2021
title	The Possibilities of Digital Collage as a Representation Language in Contemporary Architecture and Urbanism
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. 547–557
summary	This article approaches the theme of digital collage as a technique of graphic representation in Architecture and Urbanism emerging in cyberculture. The main objective is to highlight the underlying logic of digital collage as a representation language of contemporary architecture and urbanism projects. From a methodological point of view, this article is the result of qualitative, exploratory and descriptive research. In addition to the literature review on collage as an artistic and architectural expression, and its incorporation into digital culture, a study of multiple cases was carried out, taking as empirical object the graphic production of ten architecture and urbanism offices from different parts of the world. Finally, it appears that digital collages are consistent with the hybrid contemporary reality and create new poetics capable of representing the semantic and communicative dimension of architecture and urbanism design.
keywords	colagem digital, representaçao gráfica, arquitetura e urbanismo
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	sigradi2021_367
id	sigradi2021_367
authors	da Rocha Santos, Carlos Eduardo, Dias, Maria Angela and Braida, Frederico
year	2021
title	Digital Games and Spatial Skills in Architecture and Urbanism Education
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. 867–876
summary	This article addresses the issue of the relationship between digital games and the development of spatial thinking. The research question is: how can digital games be used to contribute to the development of geometric and spatial skills and competencies, extremely necessary for contemporary architects and urban planners? The main objective is to highlight digital games as a possible and emerging educational resource in the era of digital culture. From a methodological point of view, the article is the result of qualitative and exploratory research, both bibliographical and empirical. The results presented, which are the result of a didactic experiment carried out with the game Minecraft, point to the adoption of digital games as powerful playful didactic tools capable of contributing to the exercise and development of spatial vision and geometric thinking in Architecture and Urbanism.
keywords	Jogos digitais, aprendizagem, habilidade espacial, educaçao do olhar e Arquitetura e Urbanismo
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	sigradi2021_208
id	sigradi2021_208
authors	Eloah, Adriane, Queiroz, Natália and Coelho, Leonardo
year	2021
title	Parametric Urbanism: Multi-Criteria Optimization for a Sustainable Neighborhood in Sao José Dos Campos
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. 351–362
summary	Based on the concepts of Sustainable Urbanism and performance-based design, this work proposes the development of a neighborhood in the city of Sao José dos Campos (SJC), Sao Paulo-Brazil. The performance-based design method was used through parametric algorithmic tools - such as Grasshopper - for construction, analysis and the urban design multicriteria optimization. Five optimization functions were used: walkability, sunset view, radiation in hot periods, minimum hours of sun exposition and maximum number of floors. The use of optimization software accommodates the numerous conflicting requirements of the model. The results obtained are a systematization of the process and a system that allows various urban solutions based on numerical performance criteria. The selected solutions achieved walkability indicators greater than 80%.
keywords	Urbanismo paramétrico, Urbanismo Sustentável, otimizaçao, sustentabilidade, Performance-based design
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	caadria2021_283
id	caadria2021_283
authors	Sanatani, Rohit Priyadarshi, Chatterjee, Shamik Sambit and Manna, Ishita
year	2021
title	Subject-specific Predictive Modelling for Urban Affect Analysis
doi	https://doi.org/10.52842/conf.caadria.2021.2.387
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. 387-396
summary	Recent developments in crowd-sourced data collection and machine intelligence have facilitated data-driven analyses of the affective qualities of urban environments. While past studies have focused on the commonalities of affective experience across multiple subjects, this paper demonstrates an integrated framework for subject-specific affective data collection and predictive modelling. For demonstration, 10 field observers recorded their affective appraisals of various urban environments along the scales of Liveliness, Beauty, Comfort, Safety, Interestingness, Affluence, Stress and Familiarity. Data was collected through a mobile application that also recorded geo-location, date, time of day, a high resolution image of the users field of view, and a short audio clip of ambient sound. Computer vision algorithms were employed for extraction of six key urban features from the images - built score, paved score, auto score, sky score, nature score, and human score. For predictive modelling, K-Nearest Neighbour and Random Forest regression algorithms were trained on the subject-specific datasets of urban features and affective ratings. The algorithms were able to accurately assess the predicted affective qualities of new environments based on the specific individuals affective patterns.
keywords	Urban Affect; Subjective Experience; Predictive Modelling; Affect Analysis
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	ecaade2021_150
id	ecaade2021_150
authors	Song, Yanan and Yuan, Philip F.
year	2021
title	A Research On Building Cluster Morphology Formation Based On Wind Environmental Performance And Deep Reinforcement Learning
doi	https://doi.org/10.52842/conf.ecaade.2021.1.335
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. 335-344
summary	Nowadays, numerous researchers emphasize the significance of the environmen-tal performance-driven generative methodology. However, due to the complex coupling mechanism of environmental regulation factors, the existing optimiza-tion engines and applications are time-consuming and cumbersome. In this re-search, we propose a novel design methodology based on Deep Reinforcement Learning (DRL). This paper is divided into 3 sections, including theoretical framework, design strategy, and practical application. It first introduces an over-view of basic principles, illustrating the potential advantages of DRL in perfor-mance data-driven design. Based on this, the paper proposes a DRL-based gener-ative method. We point out a more specific discussion about the application and workflow of core DRL elements in architectural design. Finally, taking a grid-form urban space composed by multitude high-rise building blocks as an exam-ple, we present a application through a DRL agent to conduct numerous active wind environmental performance-based design tests. It is an interactive and gen-erative design method, owning multiple advantages of timeliness, convenience, and intelligence.
keywords	Deep Reinforcement Learning; Environmental Performance Design; Generative Design; Building Cluster Formation
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ascaad2021_017
id	ascaad2021_017
authors	Abouhadid, Mariam
year	2021
title	Affective Computing in Space Design: A Review of Literature of Emotional Comfort Tools and Measurements
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. 330-340
summary	Architecture Digital Platforms are capable of creating buildings that provide comfort that meets human thermal, acoustic and visual needs. However, some building technologies can choose the physical energy arena of the building on the expense of the mentioned aspects of human comfort. Nevertheless, aspects like emotional and psychological human comfort exist in limited studies practiced in interior design, or in active design of public spaces and on the landscape and urban scale. It is not mandatory in building design: How different spaces affect humans and what makes an environment stressful or not. Study gathers literature theoretically and categorizes it per topic: 1) Affective computing Introduction and uses, 2) Human responses to different stimulus and environments, 3) Factors that affect humans, 4) Technologies like brain imaging and Galvanic Skin Response (GSR) that are used to measure human anxiety levels, as well as blood pressure and other indications on the person’s well-being, and some 5) Case Studies. Affective computing can be an addition to different pre- design analysis made to a project. Different areas of comfort like space dimensions, height, colour and shape can be the start of coding “Human Comfort” analysis software. Study has been restricted to previous research, and can be expanded further to experimentation. Future work aims to code it into Building Information Modelling Software.
series	ASCAAD
email
last changed	2021/08/09 13:11

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