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	caadria2021_266
id	caadria2021_266
authors	Chen, Yao, Lo, Tiantian, Guo, Xiangmin, Du, Ruijie and Hu, Xinchuang
year	2021
title	Interactive Virtual Sand Table - A theoretical review on its application towards Urban Planning
doi	https://doi.org/10.52842/conf.caadria.2021.2.629
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. 629-638
summary	The sand table is a tool of expression of urban planning.With the development of computer science and technology,virtual reality technology is playing an important role in many aspects of urban planning and design,as well as,the virtual sand table.This article analyzes the limitations of the current urban planning sand table from designers and other participants perspectives. It analyses the advantages of applying interactive technology in a sand table for urban planning and proposes using such interactive technology in the future. This paper will also investigate three aspects of interactions: human-computer interaction technology, collaborative interaction technology, remote visual interaction technology. The application of interactive technology on the virtual sand table, on the one hand, can carry out a multi-angle forward-looking analysis of the problems of urban construction and improve the efficiency of planning and approval, and development; on the other hand, it can increase public participation in urban planning and design.
keywords	interactive technology; urban planning; urban planning sand table; electronic sand table
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	sigradi2021_203
id	sigradi2021_203
authors	Diniz, Maria Luisa, Silva, Alan Felipe, Wedekin, Gabriela, Castro, Rafaela and Duarte, Rovenir
year	2021
title	Affective Cartographies for Smarter Cities
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. 1295–1306
summary	This paper focuses on the study of affective and digital cartographies and on relating them systematically with their design applications. The research is based on the Design Science Research strategy, through the following logical structure: (1) Problem identification; (2) Communication; (3) Definition of the objective of the solution; (4) Artifact design, development and implementation; (5) Demonstration and Evaluation. The results presented correspond to phases (1), (2) and structuring of (3). The categorization was based on the principles: (a) dynamism (dynamic vs. static), (b) responsiveness (immediate vs. non-immediate), (c) implementation domain (hard vs. soft), and (d) affective aspect (quantitative vs. qualitative). This was synthesized in a chart, which was submitted to the analysis of a group of 4 experts from a public urban planning entity, and possible applications of affective cartographies in urban projects were obtained. Those were confronted with reality from the overlapping of the problems listed with the synthesis chart, positioning such cartographies as to their vocations.
keywords	cartografias digitais, afeto, Deleuze, senseable cities, Smart City
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	ascaad2021_074
id	ascaad2021_074
authors	Belkaid, Alia; Abdelkader Ben Saci, Ines Hassoumi
year	2021
title	Human-Computer Interaction for Urban Rules Optimization
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. 603-613
summary	Faced with the complexity of manual and intuitive management of urban rules in architectural and urban design, this paper offers a collaborative and digital human-computer approach. It aims to have an Authorized Bounding Volume (ABV) which uses the best target values of urban rules. It is a distributed constraint optimization problem. The ABV Generative Model uses multi-agent systems. It offers an intelligent system of urban morphology able to transform the urban rules, on a given plot, into a morphological delimitation permitted by the planning regulations of a city. The overall functioning of this system is based on two approaches: construction and supervision. The first is conducted entirely by the machine and the second requires the intervention of the designer to collaborate with the machine. The morphological translation of urban rules is sometimes contradictory and may require additional external relevance to urban rules. Designer arbitration assists the artificial intelligence in accomplishing this task and solving the problem. The Human-Computer collaboration is achieved at the appropriate time and relies on the degree of constraint satisfaction with fitness function. The resolution of the distributed constraint optimization problem is not limited to an automatic generation of urban rules, but involves also the production of multiple optimal-ABV conditioned both by urban constraints as well as relevance, chosen by the designer.
series	ASCAAD
email
last changed	2021/08/09 13:13

_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	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	ascaad2021_062
id	ascaad2021_062
authors	Elgobashi, Aya; Yasmeen El Semary
year	2021
title	Redefinition of Heritage Public Spaces Using PPGIS: The Case of Religious Complex in Old Cairo
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. 355-370
summary	Plenty of challenges all over the world are affecting the urban development of spaces in the cities, especially those of heritage sites; these urban spaces provide various ambiances that appeal to the senses. Although surrounded open spaces in heritage sites are full of rich, deep knowledge that plays an active role in the community perceptions, it has been recently neglected. A contribution is paid to the combination of digital technologies to help in preserving those spaces. Its integrated use could exponentially increase the effectiveness of conservation strategies of ancient buildings. GIS technology became a usual documentation tool for heritage managers, conservators, restorers, architects, archaeologists, painters, and all other categories of experts involved in cultural heritage activities. Consequently, the GIS has faced strong criticism as it is a tool for documentation without engaging in the public environment and the users’ needs; as a result, GIS cannot help in any enhancing process as it does not have any idea about the needs of the users. This paper analyses public uses efficiency in heritage public spaces in Cairene context using public participation geographic information system (PPGIS) methodology, as it gives attention to the term “user” to include the “public” incorporating the concept of “public participation” commonly used in planning. An online survey was set up, based on Google Maps, where respondents were asked to place and rate twenty-five items on an interactive map done by (ARCGIS 10.4). These items were based on the criteria of placemaking to make those spaces full of creative ambiance to be more attractive and useful to the communities. Finally, 200 valid surveys have been collected and mapped 1500 opinions have been mapped. The Results of this research show that PPGIS is an effective tool in measuring the efficiency of those heritage public spaces, which may be valuable for future planning.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	caadria2021_391
id	caadria2021_391
authors	Elshani, Diellza, Koenig, Reinhard, Duering, Serjoscha, Schneider, Sven and Chronis, Angelos
year	2021
title	Measuring Sustainability and Urban Data Operationalization - An integrated computational framework to evaluate and interpret the performance of the urban form.
doi	https://doi.org/10.52842/conf.caadria.2021.2.407
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. 407-416
summary	With rapid urbanization, the necessity for sustainable development has skyrocketed, and sustainable urban development is a must. Recent advances in computing performance of urban layouts in real-time allow for new paradigms of performance-driven design. As beneficial as utilizing multiple layers of urban data may be, it can also create a challenge in interpreting and operationalizing data. This paper presents an integrated computational framework to measure sustainability, operationalize and interpret the urban forms performance data using generative design methods, novel performance simulations, and machine learning predictions. The performance data is clustered into three pillars of sustainability: social, environmental, and economical, and it is followed with the performance space exploration, which assists in extracting knowledge and actionable rules of thumb. A significant advantage of the framework is that it can be used as a discussion table in participatory planning processes since it could be easily adapted to interactive environments.
keywords	generative design; data interpretation ; urban sustainability; performance simulation; machine learning
series	CAADRIA
email
last changed	2022/06/07 07:55

_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	caadria2021_085
id	caadria2021_085
authors	FÃ¶rster, Nick, Bratoev, Ivan, Fellner, Jakob, Schubert, Gerhard and Petzold, Frank
year	2021
title	Designing Crowd Safety - Agent-Based Pedestrian Simulations in the Early,Collaborative Design Stages
doi	https://doi.org/10.52842/conf.caadria.2021.2.729
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. 729-738
summary	Contemporary agent-based pedestrian simulations offer great potential to evaluate architectural and urban design proposals in terms of medical risks, crowd safety, and visitor comfort. Nevertheless, due to their relative computational heaviness and complicated input-parameters, pedestrian simulations are not employed during the design process commonly. Simulation results significantly impact planning decisions, especially when they are already available in the early design phases. This paper analyzes the requirements of pedestrian simulations for early planning stages, such as seamless integration into iterative and collaborative design processes, interactivity, and appropriate visualization of results. For this purpose, we combine two existing projects: a high-accuracy pedestrian simulation and the CDP//Collaborative Design Platform. To adapt the simulation method to the requirements of early planning stages, we investigate interactions that blend intuitively with the design process and enable multiple users to interact simultaneously. We simplify simulations input parameters to match the level of detail of the early design phases. The simulation model is adapted to facilitate continuous and spontaneous interactions. Furthermore, we develop visualization techniques to support initial design negotiations and present strategies for compensating computation time and giving constant feedback to a dynamic design process.
keywords	Pedestrian Simulation; Agent-Based Simulation; Early Design Stages; Collaborative Design; Human Computer Interaction
series	CAADRIA
email
last changed	2022/06/07 07:50

_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	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	caadria2021_117
id	caadria2021_117
authors	Ikeno, Kazunosuke, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2021
title	Can a Generative Adversarial Network Remove Thin Clouds in Aerial Photographs? - Toward Improving the Accuracy of Generating Horizontal Building Mask Images for Deep Learning in Urban Planning and Design
doi	https://doi.org/10.52842/conf.caadria.2021.2.377
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. 377-386
summary	Information extracted from aerial photographs is widely used in the fields of urban planning and architecture. An effective method for detecting buildings in aerial photographs is to use deep learning to understand the current state of a target region. However, the building mask images used to train the deep learning model must be manually generated in many cases. To overcome this challenge, a method has been proposed for automatically generating mask images by using textured 3D virtual models with aerial photographs. Some aerial photographs include thin clouds, which degrade image quality. In this research, the thin clouds in these aerial photographs are removed by using a generative adversarial network, which leads to improvements in training accuracy. Therefore, the objective of this research is to propose a method for automatically generating building mask images by using 3D virtual models with textured aerial photographs to enable the removable of thin clouds so that the image can be used for deep learning. A model trained on datasets generated by the proposed method was able to detect buildings in aerial photographs with an accuracy of IoU = 0.651.
keywords	Urban planning and design; Deep learning; Generative Adversarial Network (GAN); Semantic segmentation; Mask image
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	sigradi2021_70
id	sigradi2021_70
authors	Kabošová, Lenka, Chronis, Angelos, Galanos, Theodore and Katunský, Dušan
year	2021
title	Leveraging Urban Configurations for Achieving Wind Comfort in Cities
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. 79–90
summary	Given the continuous improvements in digital design and analysis tools, designing in line with the environmental conditions can be much more seamlessly integrated into the conceptual design stage. That leads to faster, informed design decisions and, if incorporated into day-to-day practice, to a sustainable built environment. The presented design method, focusing on enhancing the outdoor wind comfort through architecture, leverages wind analysis tools, such as newly-developed InFraRed, verified by other Grasshopper plug-ins, in the urban design process. As shown in the case study, iterating through various design options and evaluating their impact on the wind flow is faster yet precise, leading towards picking the best-performing design alternative in terms of outdoor wind comfort.
keywords	real-time wind predictions, wind comfort, parametric design, CFD analysis, machine learning
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	caadria2021_276
id	caadria2021_276
authors	Kawai, Yasuo
year	2021
title	Development of a Tsunami Evacuation Behavior Simulation System for Selection of Evacuation Sites
doi	https://doi.org/10.52842/conf.caadria.2021.2.499
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. 499-508
summary	In this study, a tsunami evacuation simulation system was developed using a game engine and open data to reflect the conditions of a local emergency situation at low cost. Chigasaki City, which is a heavily populated urban area and tourist destination along the coast of Japan, was selected as the target area for this study. A total of 20 simulations were conducted using 20,000 evacuation agents categorized as child, adult, or elderly residents or visitors randomly placed on the road surface in the target area. The simulation results indicate that a 10.60% agent damage rate may occur for a tsunami of height 10 m. In lowland areas where the river flows inland, tsunamis were observed to move up the estuary, trapping agents between the river and the coast. In such inland areas, several areas with no tsunami evacuation buildings were observed. Thus, the low-cost simulations provided by the proposed system can provide necessary support for planning and designating appropriate tsunami evacuation buildings in disaster-prone areas.
keywords	Tsunami; Evacuation ; Agent; Simulation; Game Engine
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2021_274
id	caadria2021_274
authors	Kawai, Yasuo
year	2021
title	Urban Space Simulation System for Townscape Ordinance
doi	https://doi.org/10.52842/conf.caadria.2021.2.479
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. 479-488
summary	In this study, a game engine-based urban space simulation system for townscape ordinance was developed and evaluated. For accurate evaluation of a townscape, it is important for the townscape simulation to be as close to reality as possible from various perspectives. The proposed system employs a freely moving first-person viewpoint with different height and origin variations; the building height and exterior wall color can also be changed. To evaluate the system, the simulation and photographic images were compared. The photographic images exhibited a higher gaze rate on spatial components; high gaze rates were also observed for vehicle and pedestrian in the photographic images. Therefore, we recreated dynamic spatial components such as vehicles and pedestrians. Additionally, we successfully reproduced the night townscape via a switchable light source and enabled the control of the numbers of poles and signs. The townscape reproduced by the proposed system could contribute to townscape planning. In the future, a more versatile urban space simulation system that combines various sources of urban information can be developed.
keywords	Landscape Simulation; Game Engine; Urban Planning; Gaze Elements; Sequence
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2021_404
id	caadria2021_404
authors	Kim, Jong Bum, Aman, Jayedi and Balakrishnan, Bimal
year	2021
title	Forecasting performance of Smart Growth development with parametric BIM-based microclimate simulations
doi	https://doi.org/10.52842/conf.caadria.2021.1.411
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. 411-420
summary	Smart Growth is a fast-growing urban design and planning movement developed by the United States Environmental Protection Agency (EPA). These regulations control urban morphologies such as building form, position, faÃ§ade configurations, building materials, road configurations, which have an explicit association with the microclimate and outdoor comfort. This paper presents an urban modeling and simulation framework that can represent the urban morphology and its impact on microclimate shaped by Smart Growth. First, we created urban models using custom parametric objects and a building component library in BIM. Then we integrated parametric BIM and multiple performance simulations, including wind analysis, solar accessibility, and energy use. For implementation, a case study was carried out using two Smart Growth regulations in the Kansas City metropolitan area. The paper elaborates on the findings from simulation results, challenges in implementation, and limitations of the proposed framework to manage a large number of regulation variables in simulation.
keywords	Smart Growth Regulations; Building Information Modeling (BIM); Parametric Simulation; Microclimate Simulation; Computational Fluid Dynamics (CFD)
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	sigradi2021_197
id	sigradi2021_197
authors	Landenberg, Raquel, Hernandez, Silvia Patricia, Pochini, Olga and Boccolini, Sara M.
year	2021
title	From Digital to Real: Inmotics and Parametricism for Urban Transformation
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. 1005–1016
summary	Our research team develops sustainable and inclusive typologies of micro-architecture. These micro-architectures, aided by cutting-edge technologies, give room to more inclusiveness and functional-ductility. We are convinced that nothing is static, there is not just a single possible future. Because of that, we generate real/virtual architectures that do not respond only to a single type of user, place or use. In this case, we introduce a typological model focused on health and wellness services, currently under development by parametric design. Located in the city of Córdoba, Argentina and placed near public parks (where many citizens practice sports and recreational outdoor activities)). We use energy-efficient local technology to power devices that adapt to local weather; moreover, the equipment provides performance data via audio, visual and tactile outputs, and in adjustable-position devices.
keywords	Palabras clave. Inmótica, inclusividad, microarquitectura, ductilidad, sutentabilidad
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_342
id	caadria2021_342
authors	Lau, Siu Fung George and van Ameijde, Jeroen
year	2021
title	City Centres in the Era of Self-Driving Cars: Possibilities for the Redesign of Urban Streetscapes to Create Pedestrian-oriented Public Spaces
doi	https://doi.org/10.52842/conf.caadria.2021.2.609
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. 609-618
summary	The forthcoming popularization of Self-driving Vehicles (SDVs) suggests a significant challenge in urban planning, as it enables new mobility patterns for urban citizens. While manufacturers have been developing visionary scenarios where cars become rentable mobile activity spaces, the impact of SDVs on the urban context is unclear. Through the analysis of the new social and technological functionalities developed by car manufacturers, and the projection of these functions into spatial scenarios of use within urban case study site, this paper explores the potential for the redesign of urban streetscapes to reclaim open spaces for pedestrian experiences and urban culture.
keywords	High-density urbanism; Self-driving vehicles; Urban analytics
series	CAADRIA
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last changed	2022/06/07 07:51

_id	sigradi2021_19
id	sigradi2021_19
authors	Longue Martins, Iago and Rabello Lyra, Ana Paula
year	2021
title	PARAMETREE: An Algorithmic-Parametric Tool for Evaluating the Contribution of the Trees on Rainwater Management
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. 1447–1461
summary	This paper explores the application of an algorithmic-parametric tool that uses urban forestry as a design strategy to reduce the occurrence of flooding. The study was carried out following three main stages: (1) a literature review on the capacity of rainwater retention in tree species with dense canopies; (2) the creation of an algorithmic-parametric tool using C# scripting in Grasshopper to calculate the influence of the trees in reducing the runoff coefficient; and (3) a simulation using Rhinoceros and Grasshopper to verify the performance of such tool. The results show a new method of calculation to estimate the runoff formation in urbanized areas as well as it confirms the contribution of the trees in mitigating flooding.
keywords	Parametric analysis, Biophilic urbanism, Urban planning, Drainage, Urban afforestation.
series	SIGraDi
email
last changed	2022/05/23 12:11

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