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 14601

_id ecaade2023_296
id ecaade2023_296
authors Lharchi, Ayoub, Tamke, Martin, Nicholas, Paul, Eppinger, Carl, Sonne, Konrad, Valipour Goudarzi, Hasti, Rossi, Gabriella and Ramsgaard Thomsen, Mette
year 2023
title Sensing and Augmenting for Adaptive Assembly Strategies
doi https://doi.org/10.52842/conf.ecaade.2023.2.269
source Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 269–276
summary This paper introduces an innovative integrated approach to design, simulate, and test assembly strategies that adapt to tolerances and geometric variations. Traditional Design for Assembly (DfA) methods, while effective for well-known materials and predetermined design parameters, exhibit limitations in addressing unknown parameters and unpredictable material behavior. Our research employs techniques such as 3D scanning, laser projection, and early 1:1 prototyping to develop a flexible adaptive assembly model, accommodating last-minute structural and site condition changes. We demonstrate our novel workflow through the assembly and installation of a large-scale demonstrator at the AEDES gallery in Berlin, consisting of 24 variable-size 3D printed panels attached to a brick wall. By creating an initial assembly model using early detailing and a preliminary assembly sequence, we maximized the number of adaptable design parameters. An agent-based model was utilized to identify wall connection locations based on site constraints and fastener accessibility. Upon completing panel production, we used industrial laser projectors to compare digital files to actual pieces and 3D scanning to acquire accurate panel connection positions. This information enabled the regeneration of connection points with precise angles and dimensions and informed the final assembly sequence. On-site laser projection facilitated the efficient assembly of the structure. Our approach paves the way for more accurate and adaptable construction methods in complex architectural projects.
keywords assembly information modeling, 3d scanning, laser projection, design for assembly, material behavior
series eCAADe
email
last changed 2023/12/10 10:49

_id caadria2003_c6-2
id caadria2003_c6-2
authors Li Suping, Joo-Hwa Bay
year 2003
title A Cognitive Framework of Collaborative Design Between Architects and Manufacturer-Designers
doi https://doi.org/10.52842/conf.caadria.2003.855
source CAADRIA 2003 [Proceedings of the 8th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 974-9584-13-9] Bangkok Thailand 18-20 October 2003, pp. 855-870
summary The widespread application of prefabricated products in building has made prefabrication an indispensable part of building processes. In this context, instead of handling every detail by architects themselves, some parts of architectural design have been transferred to manufacturer-designers. This inevitably brings about problems in the integration of prefabricated products and the specific buildings they serve. As a result, collaboration between architects and manufacturer-designers takes place in building processes in various forms and extents (non-, semi-, and full-collaboration). In this study, we aim to investigate collaborative design process from the cognitive aspect of design generation between architects and manufacturer-designers in terms of project-related products design. By applying the Kernel of Conceptual System theory (Tzonis et al., 1978), we intend to set up two empirical models in terms of design differences' formation in collaborative design process based on a case study with seeking the answers for the following research questions: 1. What kinds of design differences are raised in design processes? 2. Why the design differences are raised in design processes? 3. What implications could be made in developing computational models to facilitate collaborative design between architects and manufacturer-designers?
series CAADRIA
email
last changed 2022/06/07 07:52

_id 98bb
authors Li, Andrew
year 2001
title A shape grammar for teaching the architectural style of the Yingzao Fashi
source Massachusetts Institute of Technology, Department of Architecture
summary The Yingzaofashi [Building standards] is a Chinese building manual written by Li Jie (d. 1110) and published in 1103. I present a shape grammar for teaching the architectural style - the language of designs - described in this manual. This grammar is distinguished by two objectives, and the technical means used to accomplish them. First, the grammar is for teaching. Usually, the author of a grammar of a style aims to generate all and only the designs in the language. To do this, he not only writes the grammar, but also judges whether the designs it generates are members of the language. In the Yingzaofashi grammar, on the other hand, I want to generate all and more than the designs in the language. It is then the student who evaluates the designs - does this design belong to the language? - and adjusts the grammar accordingly. Thus the student participates actively in defining the language of designs, and learns that style is a human construct. Second, the grammar is designerly. As already observed, most authors of style grammars focus on the language of designs; they do not consider how to structure the user's interaction with the grammar. By contrast, I consider explicitly what the user decides and when he decides it, and organize the grammar accordingly. In other words, I consider process as well as products. The grammar exploits several technical devices for the first time: the design as an n-tuple of drawings, descriptions, and other elements; the generation of descriptions in the n-tuple; and techniques that are made possible by these devices.
series thesis:PhD
email
last changed 2003/02/12 22:37

_id 8c8d
authors Li, Andrew I Kang and Tsou, Jin Yeu
year 1996
title Using Virtual Models to Teach Traditional Chinese Wood Construction
doi https://doi.org/10.52842/conf.caadria.1996.119
source CAADRIA ‘96 [Proceedings of The First Conference on Computer Aided Architectural Design Research in Asia / ISBN 9627-75-703-9] Hong Kong (Hong Kong) 25-27 April 1996, pp. 119-130
summary In this paper we discuss our experience in using virtual models to teach traditional Chinese wood construction. Although our approach is technically simple – we use a kit of model parts made with the Solid Modeler of AutoCAD, Release 12 (now Release 13), and customized commands in AutoLISP – we have had excellent results. This is because of the remarkable match between the modelling medium and the highly systematized nature of traditional Chinese wood construction. It is this crucial – and interesting – characteristic that we want students to understand and appreciate. In our first teaching experience, in the fall term, 1994-95, despite unexpected drawbacks, our approach succeeded. In fact, our students, all Hong Kong Chinese, were surprisingly enthusiastic and even took pride in the sophistication of this uniquely Chinese construction system. In 1995-96, we have used the same kit of parts in two courses: an introduction to Chinese architecture (spring term) and an advanced course in Song dynasty wood construction (fall term). We first discuss briefly the theoretical basis for our approach. We then describe the assignments, the kit of parts, and supporting materials used in our teaching experiences. Finally, we discuss our findings and consider directions for the future development and improvement of our approach.
series CAADRIA
email
last changed 2022/06/07 07:52

_id 2005_523
id 2005_523
authors Li, Andrew I-Kang
year 2005
title Thoughts on a Designer-friendly Shape Grammar Interpreter
doi https://doi.org/10.52842/conf.ecaade.2005.523
source Digital Design: The Quest for New Paradigms [23nd eCAADe Conference Proceedings / ISBN 0-9541183-3-2] Lisbon (Portugal) 21-24 September 2005, pp. 523-528
summary Discussions of shape grammar interpreters overlook a fundamental issue: the model of the designer’s work. Such a model would provide guidance for developing an interpreter with an appropriate interface. In this paper, I first propose a model in which the designer’s work is to create and test generative specifications of languages of designs. I call this model designercentered generative design. Then, I examine the characteristics of shape grammar and how they support or impede this model of work. Finally, I discuss the implications for the design of an appropriate shape grammar interpreter. These provide guidelines for implementing such an interpreter for testing.
keywords Shape Grammar; Interpreter
series eCAADe
email
last changed 2022/06/07 07:59

_id caadria2009_065
id caadria2009_065
authors Li, Biao; Rong Li
year 2009
title Optimal Organization of Architectural Spaces Based on Genetic Algorithm
doi https://doi.org/10.52842/conf.caadria.2009.653
source Proceedings of the 14th International Conference on Computer Aided Architectural Design Research in Asia / Yunlin (Taiwan) 22-25 April 2009, pp. 653-661
summary Genetic algorithms categorized as global search heuristics are search technique of seeking approximate or exact solutions for optimizing problems. Our generative tool named notchSpace starts from a population of randomly generated individuals which rationally subdivide architectural spaces with a low “fitness”. During generations’ evolution, the population is recombined, modified and mutated at a low rate to form new modes of building spatial subdivision; a new population is used in the next iteration. NotchSpace works up a research platform to evolve architectural spaces, and it explores the thinking of translation from computer algorithms to the field of architecture.
keywords Genetic algorithms; evolutions; fitness; crossover
series CAADRIA
email
last changed 2022/06/07 07:59

_id caadria2020_301
id caadria2020_301
authors Li, Bin, Guo, Weihong, Schnabel, Marc Aurel and Moleta, Tane
year 2020
title Feng-Shui and Computational Fluid Dynamics (CFD) - Analyzing Natural Ventilation and Human Comfort
doi https://doi.org/10.52842/conf.caadria.2020.1.731
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 731-740
summary The paper explores the analogies between Computational Fluid Dynamics (CFD) and Feng-Shui by undertaking an analysis of natural ventilation in Jiangmen city, Southern China. Feng-Shui has been used to inform the orientation, layout, and design of buildings in China for thousands of years. The research questions if these concepts are still valid for contemporary building design. Noting that computational simulation methods such as CFD allow architects to analyse the natural ventilation of buildings, this paper provides a novel study that examines if Feng-Shui principles can be reconciled against contemporary design processes. The research simulates 'community', 'block', and 'single courtyard' via CFD study to confirm the scientifically measurable concepts of Feng-Shui have concerning natural ventilation. We conclude that Feng-Shui concepts enhance natural ventilation and subsequently makes a positive contribution to sustainable building and design.
keywords Human comfort; Natural ventilation; CFD; Feng-Shui
series CAADRIA
email
last changed 2022/06/07 07:52

_id ecaade2020_235
id ecaade2020_235
authors Li, Bin, Guo, Weihong, schnabel, Marc Aurel and Zhang, Ziqi
year 2020
title Virtual Simulation of New Residential Buildings in Lingnan Using Vernacular Wisdom
doi https://doi.org/10.52842/conf.ecaade.2020.1.269
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 269-278
summary Every new idea has some sort of precedent or echoes from the past. It is the same for the new residential buildings in Lingnan, China. In Lingnan, the vernacular knowledge of building design has been established over thousands of years. Whether it is suitable for use today should be verified. In this research, virtual simulations are employed to arrive at an overall conclusion. Virtual simulations based on PHOENICS, ENVI_MET, CadnaA, and Ecotect software were separately used for analysing the case of new residential buildings located in Lingnan. The study analysed the wind, thermal, acoustic, and light environments, which are four aspects of these new residential buildings. According to the results of our research, the paper discussed ways to amend and improve the new residential buildings that sit within the overall spirit of the vernacular knowledge of Lingnan; thus, it helps to put the traditional knowledge into the current context. The vernacular knowledge from XS to XL scale contexts, such as Feng-shui, was verified as being suitable for use in Lingnan today.
keywords Virtual simulation; Vernacular wisdom; Residential building; Lingnan; Feng-shui
series eCAADe
email
last changed 2022/06/07 07:52

_id caadria2021_078
id caadria2021_078
authors Li, Chao and Petzold, Frank
year 2021
title Integrating digital design and Additive Manufacturing through BIM-based digital support - A decision support system using Semantic Web and Multi-Criteria Decision Making
doi https://doi.org/10.52842/conf.caadria.2021.1.263
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. 263-270
summary Additive Manufacturing in Construction (AMC) envisions a possible alternative for predominantly manual construction with various benefits. In addition to the well-known extrusion-based implementations of AMC, other techniques have been developed to meet various visual and functional requirement. However, the application of Additive Manufacturing (AM) into construction projects has to be carefully evaluated, especially during the early phases of architectural design when important decisions are made. From this point, this work devised an AMC-Oriented Design Decision Support System (DDSS) to identify suitable building components which can be manufactured with specific AM methods. In such a DDSS, knowledge base and decision-making strategy are both critical. To this end, principle of leveraging Semantic Web techniques and Multi-Criteria Decision Making (MCDM) methodologies will be addressed. At the current stage of our research, pre-printed building components using concrete material are considered during the decision support process.
keywords Additive Manufacturing in Construction; BIM; Design Decision Support System; Multi-Criteria Decision Making; Semantic Web
series CAADRIA
email
last changed 2022/06/07 07:52

_id caadria2023_246
id caadria2023_246
authors Li, Chenxiao, Bao, Ding Wen, Yan, Xin, Wu, Renhu and He, Chenming
year 2023
title A Nature-Inspired Experimental Method for Re-Generating Porous Architectural Systems Based on Environmentally Data-Driven Performance
doi https://doi.org/10.52842/conf.caadria.2023.1.271
source Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 271–280
summary Weathering scenery, as one of the most representative time-consuming natural features, is associated with many characteristics through aspects of specialized morphology, porosity, adaptability, and regenerative ability. Because of its unique porous structure and majestic, randomly three-dimensional composition, it has inspired lots of creations in industrial design, art crafts, and graphic design fields. But in architectural generative design, very limited projects are related to weathering. However, in recent decades, the advancements in computer-aided design tools have made it possible to implement rigorous computational methods in complex geometrical systems. This research tries to learn from the weathering evolution and apply the characteristics in the pursuit of enriching nature-inspired architecture. The experiments will focus on one specific weathering behavior, using wind-blown particles as weathering agents, and introduce an experimental method of generating the performance-based porosity architectural system responding to environmental agents’ effects. Computational Fluid Dynamics (CFD), Bi-Directional Evolutionary Structural Optimization (BESO), and Swarm Intelligence are employed to negotiate between surface, structure, and environmental space. This study of the porosity architectural system is concerned not only with discovering new possibilities for intricate and complex nature-inspired architectural forms, but also with negotiating and considering humans and nature as equal decision-makers.
keywords Porosity, Topology Optimization, Bi-directional Evolutionary Structural Optimization (BESO), Swarm Intelligence, Computational Fluid Dynamics (CFD), Nature-inspired Form-Finding
series CAADRIA
email
last changed 2023/06/15 23:14

_id acadia22_90
id acadia22_90
authors Li, Chenxiao; Yuan, Mingyang; Han, Zilong; Faircloth, Billie; Anderson, Jeffrey S.; King, Nathan; Stuart-Smith, Robert
year 2022
title Smart Branching
source ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 90-97.
summary Through the design and fabrication of a 1.3m-high physical prototype sampled from our facade proposal, we developed a relatively automated project pipeline. It aims to achieve the generative and evolutionary design and a non-planar clay deposition method for tubular branching components.
series ACADIA
type paper
email
last changed 2024/02/06 14:00

_id caadria2021_081
id caadria2021_081
authors Li, Danrui, Huang, Rong and Wu, Yihao
year 2021
title Sensitivity Analysis of Pedestrian Simulation on Train station platforms
doi https://doi.org/10.52842/conf.caadria.2021.2.529
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. 529-538
summary As the concerns for pedestrian safety in station design are growing, multi-agent simulation becomes more widely used nowadays. While the difference between inputs in regard to their impacts on simulation outputs needs further research, previous studies fail to provide a global analysis of it in complex environments with limited computation resources. Therefore, regression-based SRC and revised Morris Method are employed in a sensitivity analysis of train station platform simulations. Results show that preference for escalators and alighting rate are influential parameters to all three concerned outputs while the standard deviation of walking speed is negligible. Given that most simulation users have limited time and resources, this paper provides a list of parameters that deserve the time and effort to calibrate together with a factor fixing method that can be applied in similar scenarios. In this way, simulation users can lower the uncertainty of train station simulations more efficiently.
keywords Sensitivity analysis; Train station; Pedestrian; Simulation; Morris Method
series CAADRIA
email
last changed 2022/06/07 07:52

_id ab28
authors Li, Fei, and Maher, Mary Lou
year 2000
title Representing Virtual Places - A Design Model for Metaphorical Design
doi https://doi.org/10.52842/conf.acadia.2000.103
source Eternity, Infinity and Virtuality in Architecture [Proceedings of the 22nd Annual Conference of the Association for Computer-Aided Design in Architecture / 1-880250-09-8] Washington D.C. 19-22 October 2000, pp. 103-111
summary The design of virtual places is metaphorical because it relies on references to the physical world. The use of a consistent metaphor provides a sense of place that combines functionality, familiarity, richness and an awareness of the presence of others. In this paper we consider such designs from a representational perspective. We discuss the characteristics and distinctions of a model of metaphorical design representation and propose a framework for the development of the representation of metaphorical design. We illustrate this framework with examples of designs of virtual places.
keywords Virtual Worlds, Architectural Design, Design Representation, Design Model, Metaphorical Design
series ACADIA
email
last changed 2022/06/07 07:52

_id caadria2024_442
id caadria2024_442
authors Li, Jia-Rong, Chang, Teng-Wen, Chang, Ching-Chih, Huang, Hsin-Yi, Hong, Cheng-Chun and Chang, Ya-Chen
year 2024
title CocoBot: Developing a Consent Communication Tool Based on Co-Evolutionary Model
doi https://doi.org/10.52842/conf.caadria.2024.2.049
source Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 49–58
summary In architecture and interior design, consent communication is crucial for the collaboration between clients and designers. With clients often needing assistance articulating particular design requirements, this study introduces CocoBot (Collaborative Consensus Bot), which integrates artificial intelligence-generated content (AIGC) technology into the communication of the design collaboration. This tool facilitates collaborative evolution between clients and designers by transforming requirements into tangible images, enhancing communication efficiency and consensus formation. The co-evolutionary model is at the core of CocoBot, which stimulates interaction and consensus formation between clients and interior designers by extracting semantic information from the communication process and generating images. It utilizes visualization to mitigate linguistic ambiguity and subjectivity, facilitating consensus attainment. Through qualitative research and expert interviews, we validate the effectiveness of CocoBot in improving communication between clients and designers, particularly in addressing language uncertainties and ambiguities, ushering in a new collaborative mode for designers and clients.
keywords co-evolutionary model, Artificial Intelligence Generated Content (AIGC), design communication, collaboration, visualization, consensus formation
series CAADRIA
email
last changed 2024/11/17 22:05

_id c71c
authors Li, Jian Cheng
year 1996
title Study on Computer-aided Design of Shading Device of a Building
doi https://doi.org/10.52842/conf.caadria.1996.143
source CAADRIA ‘96 [Proceedings of The First Conference on Computer Aided Architectural Design Research in Asia / ISBN 9627-75-703-9] Hong Kong (Hong Kong) 25-27 April 1996, pp. 143-151
summary The design of shading device is an important aspect of architectural heat-prevent design in sub-tropical climates of China. There is a large amount of calculation how to choose suitable style and size of shading device for various window in each exposure of a building, for the aim of both sheltering from sunlight indoors and preserving proper sun-shining time in a room. The solution of the calculation for the design of shading device is presented in this paper.
series CAADRIA
last changed 2022/06/07 07:59

_id ecaade2022_196
id ecaade2022_196
authors Li, Jiaqi, Lo, Tian Tian, Guo, Xiangmin and Chen, Fukai
year 2022
title Integrating XR and Tangible Model to Enhance Old Building Renovation Design
doi https://doi.org/10.52842/conf.ecaade.2022.2.207
source Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 207–216
summary The renovation of old buildings usually has complex site constraints, involves multiple interests, and has limited capital costs. Therefore, the transformation process has always encouraged the participation of stakeholders to improve the effectiveness of the design. Tangible user interfaces (TUIs) consisting of physical models further simplify the operation. However, most designs are displayed by projection, which cannot provide a realistic interactive experience. Extended Reality (XR) technology has the advantages of interactivity and clear visualization. We developed a participatory renovation tool using XR technology and tangible models. We invited the owner to view the 3D design proposal in HoloLens and then use the tangible model to discuss the renovation design. This experiment proves that the system can realize on-site 3D visualization, allowing the public to design in a real environment and intuitively interact with the virtual and the real. Using the participatory design method of XR technology + tangible model will provide a convenient platform for the renovation of old buildings with the collaborative participation of stakeholders.
keywords Building Renovation Design, Participatory Design, Extended Reality, Tangible Model, HoloLens
series eCAADe
email
last changed 2024/04/22 07:10

_id acadia23_v2_330
id acadia23_v2_330
authors Li, Jiaqi; Lin, Chen-Yang; Lai, Zhen-Zhou; Lo, Tian-Tian
year 2023
title Revitalization of Digital Hometown of Overseas Chinese: Using Virtual Reality Interaction Technology - The Example of Jimei School Village
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 330-339.
summary Promoting the transformation and development of overseas Chinese hometowns through the inheritance of overseas Chinese culture and the integration of culture and tourism is an important research perspective in China's rural revitalization strategy. Nowadays, the development of rural cultural tourism through various digital means has effectively promoted the economic vitality of the region. This research takes Jimei School Village as an example and uses virtual-real interactive technology [Mixed Reality (MR) and an open- source electronics platform based on easy-to-use hardware and software (Arduino)] to build a ""Phygital Game"" - a virtual-real interactive platform. First, this research uses MR technology to display the characteristic content of the hometown of overseas Chinese, expand the amount of information displayed, and immerse tourists in the realistic scene of virtual-real fusion. In terms of interactive form, through the design of physical inter- action of Arduino, visitors can participate in puzzle-solving games. This platform aims to encourage tourists to actively explore the architectural features and culture of the hometown of overseas Chinese, to provide a valuable perspective for the optimization and development of the immersive cultural tourism platform.
series ACADIA
type paper
email
last changed 2024/12/20 09:12

_id caadria2023_253
id caadria2023_253
authors Li, Jinze and Tang, Peng
year 2023
title Multisource Analysis of Big Data on Street Vitality Using GIS Mapping and Deep Learning: A Case Study of Ding Shu, China
doi https://doi.org/10.52842/conf.caadria.2023.1.565
source Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 565–574
summary Urban vitality is the driving force behind sustainable urban development. As the most frequently used public space in cities, the enhancement of street vitality is of great significance for improving human-centred habitats. Based on multi-source big data, this study uses spatial and statistical analysis methods to explore the impact factors of street vitality. Through the quantitative evaluation of these factors, we propose corresponding strategies to enhance the vitality of the street. Firstly, the spatial elements of streets are extracted using deep learning algorithm based on the acquired street view images. Further, the impact factors of street vitality are demonstrated using statistical methods by combining multi-source data. We established an evaluation system based on the impact factors of street vitality, which can quantify and predict street vitality. In this way, we can propose vitality enhancement strategy for the street with lower vitality in a targeted approach. The feasibility of the process is demonstrated by using Ding Shu as an example. This study provides a basic framework for a people-centred approach to enhance street vitality based on big data. It also contributes to causal inference in urban problems.
keywords Multi-source data, street vitality, deep learning, spatial analysis, statistical analysis, causal inference, people-centred city
series CAADRIA
email
last changed 2023/06/15 23:14

_id caadria2024_465
id caadria2024_465
authors Li, Jinze, Song, Zhehao, Wen, Jian, Cai, Chenyi and Tang, Peng
year 2024
title Exploring Nonlinear Relationship Between Built Environment and Street Vitality Using Machine Learning: A Case Study of Ding Shu, China
doi https://doi.org/10.52842/conf.caadria.2024.2.375
source Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 375–384
summary Urban vitality serves as the linchpin for sustainable urban development. Being the most extensively utilized public space within cities, augmenting street vitality bears paramount importance in accelerating design in human-centric habitats. This study employs spatial analysis and machine learning methods to explore the potential nonlinear relationships and local threshold effects between the built environment (BE) and street vitality based on multi-source data. This investigation provides support for the quantitative assessment and optimization of street vitality. Initially, using collected street view images, street spatial elements are extracted through deep learning algorithms. Subsequently, integrating multiple data sources, machine learning methods are employed to quantify the impact and interactions of the built environment on street vitality. Illustrated with the case of Dingshu, the feasibility of this process is demonstrated. By examining the correlation and underlying mechanisms between the built environment and street vitality, this study aids decision-makers in leveraging technological means to expedite design processes and create human-centric cities.
keywords Nonlinear Relationship, Built Environment, Street Vitality, GBDT-SHAP, Interaction Effect
series CAADRIA
email
last changed 2024/11/17 22:05

_id caadria2024_87
id caadria2024_87
authors Li, Jiongye and Stouffs, Rudi
year 2024
title Distribution of Carbon Storage and Potential Strategies to Enhance Carbon Sequestration Capacity in Singapore: A Study Based on Machine Learning Simulation and Geospatial Analysis
doi https://doi.org/10.52842/conf.caadria.2024.2.089
source Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 89–98
summary The expansion of urbanization leads to significant changes in land use, consequently affecting carbon storage. This research aims to investigate the carbon loss due to land use alterations and proposes strategies for mitigation. Utilizing existing land use data from 2017 and 2022, along with simulated data for 2025 generated by an ANN model and Cellular Automata, we identified changes in land use. These changes were then correlated with variations in carbon storage, both gains and losses. Our findings reveal a significant loss of 36,859 metric tons of carbon storage from 2017 to 2022. The projection for 2025 estimates a further reduction, reaching a total loss of 83,409 metric tons. By employing the LISA method, we identified that low-carbon storage zones are concentrated in the southeast region of the research site. By overlaying these zones with areas of carbon storage loss, we pinpointed regions severely affected by carbon depletion. Consequently, we propose that mitigation strategies should be imperatively implemented in these identified areas to counteract the trend of carbon storage loss. This approach offers urban planners a solution to identify areas experiencing carbon storage decline. Moreover, our research methodology provides a novel framework for scholars studying similar carbon issues.
keywords land use and land cover (LULC) changes, simulated LULC, machine learning model, carbon storage changes, GIS
series CAADRIA
email
last changed 2024/11/17 22:05

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