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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Hits 1 to 20 of 577

_id sigradi2017_071
id sigradi2017_071
authors Bueno, Ernesto; Antônio Carlos de Quadros Gonçalves Neto, Caio Henrique Mehl
year 2017
title Análise de variações no desempeno lumínico do Centro Cívico de Curitiba através de modelagem e simulação paramétrica [Analysis of variations in daylight performance of the Curitiba Civic Center through parametric modeling and simulation]
source SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.486-490
summary To ensure access to sunlight in urban planning, specialized software is available. Mainly used in the initial stages, these tools allow the study of the environmental performance of the proposal. However, neighborhood impact is seen as a secondary aspect, usually evaluated with GIS tools, simulating pre-existing or proposed situations. However, visual programming tools allow, data processing in addition to parametric modeling, streamlining the process of analysis of architectural and urban pre-existences and proposals. From a case study, we present a methodology that uses these tools to demonstrate the loss of daylight performance of open spaces due to urban densification.
keywords Urban daylight performance; Environmental performance simulation; Parametric urban modeling; Grasshopper.
series SIGRADI
email
last changed 2021/03/28 19:58

_id caadria2017_042
id caadria2017_042
authors Coorey, Ben and Coorey, Anycie
year 2017
title Generating Urban Form
doi https://doi.org/10.52842/conf.caadria.2017.261
source P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 261-269
summary Modern design of urban forms is venturing towards performative, site-specific architecture that are formed according to the attributes of its urban context. Parametric modelling techniques offer designers the ability to embed generative mechanisms into the design process to allow performance based design. This paper focuses on the development of a synthesis model that generates an Urban Form schema using computational design principles. The design system illustrates a rule-based systematic approach to urban form generation and is a precursor to the automatic exploration of urban forms based on design analytics and evaluation of urban metrics. The role of the architect begins to shift from the designer of objects to the designer of processes with urban planning following a trajectory of data-generated and contextual specific design.
keywords Parametric Modelling; Urban Modelling; Scripting; Urban Analysis
series CAADRIA
email
last changed 2022/06/07 07:56

_id cf2017_225
id cf2017_225
authors De Luca, Francesco; Voll, Hendrik
year 2017
title Solar Collection Multi-isosurface Method: Computational Design Advanced Method for the Prediction of Direct Solar Access in Urban Environments
source Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, p. 225.
summary Direct solar access and daylight requirements contribute significantly when it comes to shaping the layout and appearance of contemporary cities. Urban planning regulations in Estonia set the minimum amount of direct solar access that existing housing has the right to receive and new premises are required to get when new developments are built. The solar envelope and solar collection methods are used to define the volume and shape of new buildings that allow the due solar rights to the surrounding buildings, in the case of the former, and the portion of the own façades that receive the required direct solar access, in the case of the latter. These methods have been developed over a period of several decades, and present-day CAAD and environmental analysis software permits the generation of solar envelopes and solar collection isosurfaces, although they suffer from limitations. This paper describes an advanced method for generating solar collection isosurfaces and presents evidence that it is significantly more efficient than the existing method for regulation in Estonia’s urban environments.
keywords Urban planning, Direct solar access, Solar envelope, Solar collection, Computational design, Environmental design
series CAAD Futures
email
last changed 2017/12/01 14:38

_id ecaade2017_255
id ecaade2017_255
authors Heinrich, Mary Katherine, Ayres, Phil and Bar-Yam, Yaneer
year 2017
title A Multiscale Model of Morphological Complexity in Cities - Characterising Emergent Homogeneity and Heterogeneity
doi https://doi.org/10.52842/conf.ecaade.2017.2.561
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 561-570
summary Approaches from complex systems science can support design decision-making by extracting important information about key dependencies from large, unstructured data sources. This paper presents an initial case study applying such approaches to city structure, by characterising low-level features and aggregate properties of artifact morphology in urban areas. First, shape analysis is used to describe microscale artifact clusters, analysed in aggregate to characterise macroscale homogeneity and heterogeneity. The characterisation is used to analyse real-world example cities, from both historic maps and present-day crowdsourced data, testing against two performance evaluation criteria. Next, the characterisation is used to generate simple artificial morphologies, suggesting directions for future development. Finally, results and extensions are discussed, including real-world applications for decision support.
keywords Complex systems; morphology; shape analysis; urban planning
series eCAADe
email
last changed 2022/06/07 07:49

_id caadria2017_027
id caadria2017_027
authors Johanson, Madeleine, Khan, Nazmul, Asher, Rob, Butler, Andrew and Haeusler, M. Hank
year 2017
title Urban Pinboard - Establishing a Bi-directional Workflow Between Web-based Platforms and Computational Tools
doi https://doi.org/10.52842/conf.caadria.2017.715
source P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 715-724
summary Architecture is heading towards a future where data is collected, collated and presented in a dynamic platform. There is a potential for many standard processes in the industry to become automated, such as the site analysis process. Streamlining aspects of the design process allows architects to pay greater attention on creative design solutions for their buildings and less time engaging in complex, time consuming analytical programs. Urban Pinboard, a web-based GIS platform, promises to establish a bi-directional workflow between web data depositories and computational tools through the medium of a website. By doing so, the website allows users with minimal experience in computational processes to be engaged in the utilisation of these large datasets. Through the automation of these processes, relationships within the built environment industry can excel, leading towards performative driven designs.
keywords Urban Planning; Computational Urbanism; Data-driven Design; New Workflow Models; Software Development.
series CAADRIA
email
last changed 2022/06/07 07:52

_id cf2017_111
id cf2017_111
authors Kepczynska-Walczak, Anetta; Pietrzak, Anna
year 2017
title An Experimental Methodology for Urban Morphology Analysis
source Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, p. 111.
summary The paper presents results of a research conducted in 2015 and 2016 at Lodz University of Technology. It proposes a purpose and context fit approach towards the automation of urban data generation based on GIS tools and New Urbanism typologies. First, background studies of methods applied in urban morphology analysis are revealed. Form-Based Code planning, and subsequently Transect-Based Code are taken into account. Then, selected examples from literature are described and discussed. Finally, the research study is presented and the outcomes compared with more traditional methodology.
keywords GIS, Urban morphology, Spatial analysis, Decision support systems, Urban design, Data analytics, Modelling and simulation
series CAAD Futures
email
last changed 2017/12/01 14:37

_id ecaade2017_194
id ecaade2017_194
authors Michielsen, Dieter, Dalle, Tonia, Usai, Mara, Romero, Rosaura and Pak, Burak
year 2017
title Learning Participatory Urban Research - Towards a Network of Collective Ingenuity (OURB)
doi https://doi.org/10.52842/conf.ecaade.2017.1.551
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 551-560
summary This research was put together by four Master's students from KU Leuven Faculty of Architecture, who are self-motivated to investigate the possibilities of collective methods for designing within the Urban context. This paper is divided into two parts, the first being a scholarly investigation into learning from the collective mentality shift, and movements; discovering the added values of operating immersion/eversion from the virtual worlds to the physical one and analyzing key factors for engaging the public on online communities. Following, the paper brings to light the challenges the future of urban planning faces during today's digital shift and the solutions possible through the introduction of digital platforms as support to urban planning structures. The second part is the complementation of the first, as the research team showcases the findings by testing out the learned concepts and conducting on-field social experiments. The paper concludes with an analysis of the results, and future directions to the research project.
keywords collaboration; co-creation; collective ingenuity; digital platforms; social engagement
series eCAADe
email
last changed 2022/06/07 07:58

_id sigradi2017_099
id sigradi2017_099
authors Panagoulia, Eleanna
year 2017
title Human – Centered Approaches in Urban Analytics and Placemaking
source SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.692-698
summary Planning for resilience and enabling positive design outcomes requires combinatory methods of working with data, in order to assist decision-makers develop evidence-based methodologies and easily communicated scenarios. The staggering rise of technology integration and data-aided analysis tools in urban planning, not only facilitates our understanding of socio-economic flux, but attempts to actively involve users as a way of creating environments that are more responsive and appropriate to their needs. This paper aims to contribute to the discourse on user involvement in design-oriented fields, in our case, urban planning, by analyzing two different approaches of participatory design.
keywords User-Centric Design; Open-Data; Participation; Evaluation; ‘Reblock’
series SIGRADI
email
last changed 2021/03/28 19:59

_id caadria2017_129
id caadria2017_129
authors Patt, Trevor Ryan
year 2017
title Toward Temporal and Punctual Urban Redevelopment in Dynamic, Informal Contexts - An Adaptive Masterplan Driven by Architectural Interventions Using Multiagent Modeling
doi https://doi.org/10.52842/conf.caadria.2017.221
source P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 221-230
summary This paper presents design research speculating on new planning approaches for informal urban sites that enables coordinated planning to operate within the realm of spontaneous, bottom-up redevelopment. In opposition to the /tabula rasa/ Modernist development, this project reacts to the dynamic metabolism of the village and engages with the rapid turnover of the built environment of the village as a mechanism through which to implement incremental redevelopment. A radical reorientation of the object of masterplanning, this replaces the singular image or document as the guiding authority with a collection of opportunistic adaptations, temporal sequences, and localized procedures. Enabling this approach is a computational approach that analyzes the morphology of the public space network to identify opportunities to address issues in the composition of the village. A multiagent system driven by weighted random walks through the circulation network conducts local analyses of the urban fabric while changes are made and proposes potential modifications to discrete areas. The model simulates the potential for such a planning tool to be used over a long time span and updated with empirically gathered data, having the benefit of flexibility and resilience in the face of the changing and unregulated conditions in the context of informal urbanism.
keywords generative design; responsive masterplanning; informal urbanism; network analysis; agent-based modeling
series CAADRIA
email
last changed 2022/06/07 07:59

_id ecaade2017_143
id ecaade2017_143
authors Pizzigoni, Attilio, Paris, Vittorio, Micheletti, Andrea and Ruscica, Giuseppe
year 2017
title Advanced tools and algorithms for parametric landscape urbanism
doi https://doi.org/10.52842/conf.ecaade.2017.1.461
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 461-470
summary In the last decades, urban design has been influenced by its relationship with landscape. This has led to a new approach formalised and called Landscape Urbanism. Defining specific reading and analysis instruments together with proper design methods, capable of a transdisciplinary dialogue with geography, plant and biological world's languages, landscape urbanism can undoubtedly obtain more performing purposes than the ones achieved by traditional urban planning. Moreover, new digital tools are appearing, providing urbanism with new instruments for an advanced and interactive way to design cities in close relationship with landscape. The process starts with the acquisition of large quantity of data, like georeferenced maps in conjunction with relevant information about the territory, such as traffic and atmospheric pollution data, important buildings and monuments or significant landscape elements (rivers, mountains, etc.). All this information is combined onto multiple layers in order to be used by different design algorithms, connected by multi-dimensional arrays, whose reciprocal relations are dynamically controlled by architects and engineers. We will present here the case study of an ecological and regenerative infrastructure for the city of Bergamo designed on the basis of these principles, using a convenient combination of parametric tools.
keywords algorithmic city planning; landscape urbanism; post-urban architecture
series eCAADe
email
last changed 2022/06/07 08:00

_id ecaade2017_009
id ecaade2017_009
authors Takizawa, Atsushi and Furuta, Airi
year 2017
title 3D Spatial Analysis Method with First-Person Viewpoint by Deep Convolutional Neural Network with Omnidirectional RGB and Depth Images
doi https://doi.org/10.52842/conf.ecaade.2017.2.693
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 693-702
summary The fields of architecture and urban planning widely apply spatial analysis based on images. However, many features can influence the spatial conditions, not all of which can be explicitly defined. In this research, we propose a new deep learning framework for extracting spatial features without explicitly specifying them and use these features for spatial analysis and prediction. As a first step, we establish a deep convolution neural network (DCNN) learning problem with omnidirectional images that include depth images as well as ordinary RGB images. We then use these images as explanatory variables in a game engine to predict a subjects' preference regarding a virtual urban space. DCNNs learn the relationship between the evaluation result and the omnidirectional camera images and we confirm the prediction accuracy of the verification data.
keywords Space evaluation; deep convolutional neural network; omnidirectional image; depth image; Unity; virtual reality
series eCAADe
email
last changed 2022/06/07 07:56

_id ecaade2017_156
id ecaade2017_156
authors Tunçer, Bige and You, Linlin
year 2017
title Informed Design Platform - Multi-modal Data to Support Urban Design Decision Making
doi https://doi.org/10.52842/conf.ecaade.2017.2.545
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 545-552
summary Evidence based urban design and planning support benefits from providing designers with multi-source, multi-scale and multi-time information, which is both 'big' and 'small', and quantitative and qualitative. We are developing a platform, namely Informed Design Platform, that adopts a (big) data driven approach to derive insights and principles in order to adaptively design or re-design various forms of urban public spaces based on usage patterns and perceptions of the public. This platform is designed using a four step methodology of data collection, integration, analysis, and visualization. Multi-source data is integrated based on three analysis dimensions: place, time and people; and four analysis pillars: utilization, activity, opinion and sensing. This paper describes the aims, the design principles, and partial results of development of this platform.
keywords Evidence based urban design; Multi-modal data; Information modeling; Information visualization
series eCAADe
email
last changed 2022/06/07 07:58

_id acadia17_630
id acadia17_630
authors Vasanthakumar, Saeran; Saha, Nirvik; Haymaker, John; Shelden, Dennis
year 2017
title Bibil: A Performance-Based Framework to Determine Built Form Guidelines
doi https://doi.org/10.52842/conf.acadia.2017.630
source ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 630- 639
summary City built-form guidelines act as durable constraints on building design decisions. Such guidelines directly impact energy, comfort and other performance conditions. Existing urban design and planning methods only consider a narrow range of potential design scenarios, with rudimentary performance criteria, resulting in suboptimal urban designs. Bibil is a software plugin for the Rhinoceros3D/Grasshopper3D CAD modeler that addresses this gap through the synthesis of design space exploration methods to help design teams optimize guidelines for environmental and energy performance criteria over the life cycle of the city. Bibil consists of three generative and data management modules. The first module simulates development scenarios from street and block information through time, the second designs appropriate architectural typology, and the third abstracts the typologies into a lightweight analysis model for detailed thermal load and energy simulation. State-of-the-art performance simulation is done via the Ladybug Analysis Tools Grasshopper3D plugin, and further bespoke analysis to explore the resulting design space is achieved with custom Python scripts.This paper first introduces relevant background for automated exploration of urban design guidelines. Then the paper surveys the state-of-the-art in design and performance simulation tools in the urban domain. Next the paper describes the beta version of the tool’s three modules and its application in a built form study to assess urban canyon performance in a major North American city. Bibil enables the exploration of a broader range of potential design scenarios, for a broader range of performance criteria, over a longer period of time.
keywords design methods; information processing; simulation & optimization; form finding; generative system
series ACADIA
email
last changed 2022/06/07 07:58

_id sigradi2017_067
id sigradi2017_067
authors Vasconcellos de Almeida, Rhaiani; Larissa Leticia Andara Ramos, Luciana Aparecida Netto de Jesus
year 2017
title Estudo sobre os espaços livres de uso público e áreas verdes da regional 02 - grande ibes, município de vila velha - es [A Study on public spaces and green areas of the region 02 - large ibes / Municipality of Vila Velha (ES)]
source SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.453-460
summary This work presents a mapping of the spaces of public use and of the green areas of the municipality of Vila Velha - ES, having as a cutback the Regional 02 - Grande Ibes. The mapping was performed in the ArcGIS georeferencing program, through analysis of the images of Google Earth based on the data obtained in the Municipal Master Plan and visits to the sites. As result, an expressive number of spaces for social practice was perceived, in contrast there is a deficit in the maintenance and imbalance in the distribution of these spaces. The identified green areas are located at the ends of the regional, benefiting only the surrounding neighborhoods.
keywords Public spaces; Social practices; Urban quality; Urban planning.
series SIGRADI
email
last changed 2021/03/28 19:59

_id ecaade2017_003
id ecaade2017_003
authors Yu, Kuai, Haeusler, M. Hank and Fabbri, Alessandra
year 2017
title Parametric master planning via topological analysis using GIS data
doi https://doi.org/10.52842/conf.ecaade.2017.1.429
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 429-438
summary This paper discusses parametricism in regards to urban planning and infrastructure. The objective is to bridge GIS data (using FLUX) and the parametric design process together into urban master planning. Creating a tool which generates the infrastructure and grid system automatically using specified manual user inputs, allowing for further generation of 3D forms from the block patterns. It also critically analyses the traditional master planning approach of grid system division in regards to topography, and how classical urban designers did not consider topographical constraints when a square grid system was employed to structure a city. The analysis of existing parametric master plans will also show that data driven planning has not put topography as a significant hierarchical. Through case studies using the developed tool, a clearer understanding of how topography can shape infrastructure can be understood. The analysis of topography is the main driving data iteration point which generates the infrastructure, grid, and division systems.
keywords Master Plan; Parametricism; Urban Design; GIS Data; Topography Optimisation; FLUX
series eCAADe
email
last changed 2022/06/07 07:57

_id caadria2017_105
id caadria2017_105
authors Janssen, Patrick
year 2017
title Evolutionary Urbanism - Exploring Form-based Codes Using Neuroevolution Algorithms
doi https://doi.org/10.52842/conf.caadria.2017.303
source P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 303-312
summary Form-Based Codes are legal regulations adopted by local government that allow specific urban forms to be achieved. Such codes have a significant impact on the performative potential of the urban environment. This paper explores the possibility of using a neuroevolution algorithm to elucidate the complex relationship between Form-based Codes and their performative potential. More specifically, Compositional Pattern Producing Networks (CPPN) are used to generate parameter fields, which then drive the generation of varied urban models. For evolving the CPPN networks, a neuroevolution algorithm is used, called Neuroevolution of Augmenting Topologies (NEAT). In order to test the feasibility of the proposed approach, an abstract experiment is described in which a population of urban models are evolved, optimising a set of performance criteria related to the vista and location of the residential units.
keywords Form-based codes; evolutionary design; neural networks; neuroevolution; urban planning
series CAADRIA
email
last changed 2022/06/07 07:52

_id ecaade2017_199
id ecaade2017_199
authors Al-Douri, Ph.D., Firas
year 2017
title Computational and Modeling Tools - How effectively are Urban Designers and Planners using them Across the Design Development Process?
doi https://doi.org/10.52842/conf.ecaade.2017.1.409
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 409-418
summary Literature suggests that despite the increasing range and variety of computational tools and technologies, they have not really been employed for designing as extensively as it might be. This is due in part to the numerous challenges and impediments limiting their effective usage such as the methodological, procedural, and substantive factors and limitations, and skepticism about their impact of usage on the design process and outcome. The gap in our understanding of how advanced computational tools could support the design activities and design decision-making has expanded considerably to become a new area of inquiry with considerable room for the expansion of knowledge. This research is a single-case study that has been pursued in two phases: literature review and survey followed by analysis and discussion of the empirical results. The empirical observations were compared to the theoretical propositions and with results of similar research to highlight the areas and the extent to what the IT tools' usage have influenced the outcome of the design process. The comparison has helped highlight, explain, and justify the mechanism and improvements in the design outcome. Please write your abstract here by clicking this paragraph.
keywords Computational urban design; Urban Design Practice
series eCAADe
email
last changed 2022/06/07 07:54

_id sigradi2017_016
id sigradi2017_016
authors Alexandre da Silva, Geovany Jessé; Carlos Alejandro Nome, Lucy Donegan
year 2017
title Ferramentas de Projeto para análise da qualidade urbana: Relacionando forma, usos, densidade e configuração espacial na cidade de João Pessoa, Brasil. [Design tools to assess urban quality: Relating form, uses, density and spatial configuration in João Pessoa city, Brazil.]
source SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.123-129
summary This paper describes an experience in a Graduate course Architecture and Urbanism that used computational tools to analyze urban quality – considering form, uses, density and spatial configuration (based on visual and fields) – in different urban areas in the city of João Pessoa. Understanding that the city is a problem in organized complexity, different aspects condition the quality of use of spaces and reveal urban dynamics. Urban analysis aided by computational tools revealed successful in characterizing different problems and potentialities that can lay the foundation for interventions with more urban quality.
keywords Design computational tools; Study of urban form, uses and density; Urban space performance; Spatial configuration.
series SIGRADI
email
last changed 2021/03/28 19:58

_id ecaade2017_181
id ecaade2017_181
authors Balaban, Özgün and Tunçer, Bige
year 2017
title Visualizing and Analising Urban Leisure Runs by Using Sports Tracking Data
doi https://doi.org/10.52842/conf.ecaade.2017.1.533
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 533-540
summary Recently there has been a significant growth on the usage of personal fitness applications running on smart phones or fitness devices. These applications record millions of GPS points generated from the paths of runners. This data can be analyzed to comprehend behavior of runners within a specific location. In this study, using data generated from several sources such as Endomondo and Strava and other complementary data such as climate data, population data etc., we aim to find out the factors affecting running behavior in urban settings. For this purpose, visualizations of running activities are plotted with different variables by using BIG-DID, a software tool we developed as part of this study. Additionally, an evaluation of the tools used or can be used for data analysis and visualizations discussed. Finally, a linear regression model is introduced, which will be further developed in later stages of this study.
keywords Big Data; Urban Visualization; Fitness Applications; Leisure Runs
series eCAADe
email
last changed 2022/06/07 07:54

_id ecaade2017_234
id ecaade2017_234
authors Benetti, Alberto, Favargiotti, Sara and Ricci, Mos?
year 2017
title RE.S.U.ME. - REsilient and Smart Urban MEtabolism
doi https://doi.org/10.52842/conf.ecaade.2017.1.1113
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 1113-1120
summary New technologies and uncontrolled open-data policies lead public to a new way of approaching the built environment. To enlarge the competences of the professionals that work within the cities, we believe that providing a deep and dynamic knowledge on the heritage and urban built environment is the more effective solution to offer a unique support to the needs. By providing a boosted geographical database with detailed information about the status of each building, we aim to support the professional by providing a neat vision about vacant buildings available citywide. We think this knowledge is an important asset in covering every kind of public requests: from flat to rent to an abandoned building to restore or to drive better investors. The city of Trento will be the pilot project to test these statements.We studied the phenomenon of pushing new constructions rather investing on the reuse of abandoned buildings with the consequences of unsustainable land use. To address the work we adopted a comprehensive approach across the fields of urbanism, ICT engineering and social sciences. We believe that sharing knowledge and know-hows with municipalities, agencies, and citizens is the way to support better market strategies as well as urban transformation policies.
keywords Information Technology; Urban Metabolism; Re-cycle; Urban Reserves; Policy Decision-Making; Data-driven Analysis
series eCAADe
email
last changed 2022/06/07 07:54

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