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 acadia21_530
id acadia21_530
authors Adel, Arash; Augustynowicz, Edyta; Wehrle, Thomas
year 2021
title Robotic Timber Construction
doi https://doi.org/10.52842/conf.acadia.2021.530
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 S. Parascho, J. Scott, and K. Dörfler. 530-537.
summary Several research projects (Gramazio et al. 2014; Willmann et al. 2015; Helm et al. 2017; Adel et al. 2018; Adel Ahmadian 2020) have investigated the use of automated assembly technologies (e.g., industrial robotic arms) for the fabrication of nonstandard timber structures. Building on these projects, we present a novel and transferable process for the robotic fabrication of bespoke timber subassemblies made of off-the-shelf standard timber elements. A nonstandard timber structure (Figure 2), consisting of four bespoke subassemblies: three vertical supports and a Zollinger (Allen 1999) roof structure, acts as the case study for the research and validates the feasibility of the proposed process.
series ACADIA
type project
email
last changed 2023/10/22 12:06

_id caadria2018_304
id caadria2018_304
authors Amtsberg, Felix and Raspall, Felix
year 2018
title Bamboo?
doi https://doi.org/10.52842/conf.caadria.2018.1.245
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 245-254
summary The presented paper discusses the combination of cutting edge technology (i.e. 3D-pinting) and raw natural grown resources (i.e. bamboo) to develop resource efficient load carrying truss structures in architectural scale. Via visual sensing the individual material properties of various bamboo poles are analyzed and directly used to inform the digital model. Comparing load carrying capacity of the bamboo pole and structural requirements of the design, the poles are placed and the connections designed. Conventional 3D-pinters produce the nodes and connectors and enable to merge natural and "digital" materiality.
keywords visual sensing; digital fabrication; material individuality; 3d-printing; bamboo
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2018_181
id caadria2018_181
authors Chun, Junho, Lee, Juhun and Park, Daekwon
year 2018
title TOPO-JOINT - Topology Optimization Framework for 3D-Printed Building Joints
doi https://doi.org/10.52842/conf.caadria.2018.1.205
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 205-214
summary Joints and connectors are often the most complex element in building assemblies and systems. To ensure the performance of the assemblies and systems, it is critical to optimize the geometry and configurations of the joints based on key functional requirements (e.g., stiffness and thermal exchange). The proposed research focuses on developing a multi-objective topology optimization framework that can be utilized to design highly customized joints and connections for building applications. The optimized joints that often resemble tree structures or bones are fabricated using additive manufacturing techniques. This framework is built upon the integration of high-fidelity topology optimization algorithms, additive manufacturing, computer simulations and parametric design. Case studies and numerical applications are presented to demonstrate the validity and effectiveness of the proposed optimization and additive manufacturing framework. Optimal joint designs from a variety of architectural and structural design considerations, such as stiffness, thermal exchange, and vibration are discussed to provide an insightful interpretation of these interrelationships and their impact on joint performance.
keywords Topology optimization; parametric design; 3d printing
series CAADRIA
email
last changed 2022/06/07 07:56

_id ecaade2018_403
id ecaade2018_403
authors Coraglia, Ugo Maria, Wurzer, Gabriel and Fioravanti, Antonio
year 2018
title ORe – A simulation model for Organising Refurbishments
doi https://doi.org/10.52842/conf.ecaade.2018.2.605
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 605-610
summary The problem of interferences due to the refurbishing activities of a complex building, carried out in parallel with the daily activities that characterize it, is not to be underestimated, especially when talking about a hospital structure. Consequently, the benefits that would be obtained by reducing the presence of construction activities result important in terms of safety and health of users, above all hospital patients. Setting the best solution of Gantt in the early stages of planning can be a winning strategy, as well as being able to recognize the safest and fastest path (e.g. predicting which is the fastest way to reach the rooms taken into consideration by the refurbishment). At the same time, being able to check which activities are most penalized by the presence of the construction site and to set which are essential for the survival of the activities that characterize the environment to be refurbished, e.g. the hospital ward, is a valid support tool for the healthcare staff. The proposed tool aims, on the one hand, to help designers by proposing the best possible Gantt solutions in relation to the management of daily activities that can not be suspended and on the other hand to support healthcare staff in the organization of these latter.
keywords Refurbishment; Complex building; Construction site; Space syntax; Bubble diagram; Gantt
series eCAADe
email
last changed 2022/06/07 07:56

_id sigradi2018_1387
id sigradi2018_1387
authors Coraglia, Ugo Maria; Wurzer, Gabriel; Fioravanti, Antonio
year 2018
title Noise Solver for Refurbishment Construction Site Design
source SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 517-522
summary The noise generated by the presence of a construction site within complex structure in operation (e.g. school, hospital) is a problem that too often is underestimated but that can generate problems of different nature, both concerning the health of the actors involved and regarding the performance of daily activities present within such structures (e.g. carrying out a lesson, a surgical procedure). The main aim of our tool is to highlight the impact of the noise generated by the construction site activities on these daily activities and to allow the simulation in real time of the viable solutions, thus arriving to find the one that is considered most suitable.
keywords Hospital refurbishment; Construction site design; Noise reduction; Simulation
series SIGRADI
email
last changed 2021/03/28 19:58

_id sigradi2018_1744
id sigradi2018_1744
authors de Toledo e Gazel, Jorge Lira; Carmo Pena Martinez, Andressa; dos Santos, Denise Mônaco; Lopes de Souza, Douglas
year 2018
title 2 BITS: A case of mass customization for social housing
source SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 353-358
summary This work presents a design for mass customization of modular housing applied to the Brazilian case, through modeling in grasshopper. These parametric tools contribute to an increase in the flexibility of the decisions and allow the execution, generating a wide range of solutions for the same problem. As a case study, it was considered the environmental disaster which occurred in the city of Mariana, whose homeless population remains displaced. Although in the initial phase of studies, this modular housing model aims to discuss principles of variability, flexibility, and pre-fabrication, delegating more decisions to end-users of large-scale social housing.
keywords mass customization; parametric design; social housing
series SIGRADI
email
last changed 2021/03/28 19:58

_id sigradi2018_1248
id sigradi2018_1248
authors Eloy, Sara; Dias, Maria Ângela; Vermaas, Pieter E
year 2018
title User-centered shape grammars for housing transformations: towards post-handover grammars
source SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 156-164
summary This paper presents a post-handover shape grammar for introducing inhabitants wishes in the transformation of individual houses of the Malagueira housing complex by Álvaro Siza Vieira in Évora, Portugal. The presented research includes a case study developed in the context of the workshop Gramática da Forma em estudos de habitação - análise, geração e customização at the Universidade Federal do Rio de Janeiro, Brazil. In this paper we present the first developments of the Malagueira transformation grammar, including corpus of analysis, shape rules, and derivations, and we discuss the opportunities that shape grammar brings to user-centered design.
keywords Housing; Participatory design; Shape grammar; Transformation; Inhabitants
series SIGRADI
email
last changed 2021/03/28 19:58

_id ecaade2018_197
id ecaade2018_197
authors Fuchkina, Ekaterina, Schneider, Sven, Bertel, Sven and Osintseva, Iuliia
year 2018
title Design Space Exploration Framework - A modular approach to flexibly explore large sets of design variants of parametric models within a single environment
doi https://doi.org/10.52842/conf.ecaade.2018.2.367
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 367-376
summary Parametric modelling allows to relatively easily generate large sets of design variants (so called design space). Typically, a designer intuitively moves through this design space, resulting in one or several satisfying solutions. Due to the theoretically large number of variants that can be created with parametric models, obviously, there is a high probability that potentially good solutions could be missed, which is not at least because of human cognitive limitations. Consequently, it is necessary to develop a certain strategy to support designers in order to search for design solutions. Even though, various methods to systematically approach large data sets exist, the application of them in the design process is a special case, firstly, due to the existence of many non-specifiable and subjective dimensions (e.g. aesthetics) and secondly because of the multiple ways how designers actually search for solutions. This demands for a more flexible approach to design space exploration. This paper investigates how different methods can be combined to support the exploration of design spaces. Therefore, a conceptual framework with a modular architecture is proposed and its prototypical implementation is demonstrated.
keywords Design Space Exploration; Parametric design
series eCAADe
email
last changed 2022/06/07 07:50

_id ecaade2018_141
id ecaade2018_141
authors Hermund, Anders, Klint, Lars Simon, Bundgaard, Ture Slot and Noël Meedom Meldgaard Bj?rnson-Langen, Rune
year 2018
title The Perception of Architectural Space in Reality, in Virtual Reality, and through Plan and Section Drawings - A case study of the perception of architectural atmosphere
doi https://doi.org/10.52842/conf.ecaade.2018.2.735
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 735-744
summary This paper presents the findings from a comparative study of an architectural space communicated as the space itself and its two different representations, i.e. a virtual reality model and traditional plan and section drawings. Using eye tracking technology in combination with qualitative questionnaires, a case study of an architectural space is investigated in physical reality, a virtual reality 3D BIM model, and finally through representation of the space in plan and section drawings. In this study, the virtual reality scenario seems closer to reality than the experience of the same space experienced through plan and section drawings. There is an overall higher correlation of both the conscious reflections and the less conscious behaviour between the real physical architectural space and the virtual reality space, than there is between the real space and the space communicated through plan and section drawings. We can conclude that the scenario with the best overall size estimations, compared to the actual measures, is the virtual reality scenario. The paper further discusses the future applications of virtual reality in architecture.
keywords Architectural representation; Virtual Reality; Perception; Tradition
series eCAADe
email
last changed 2022/06/07 07:49

_id ecaade2018_280
id ecaade2018_280
authors Herthogs, Pieter, Tunçer, Bige, Schläpfer, Markus and He, Peijun
year 2018
title A Weighted Graph Model to Estimate People's Presence in Public Space - The Visit Potential Model
doi https://doi.org/10.52842/conf.ecaade.2018.2.611
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 611-620
summary In this paper, we introduce the Visit Potential Model (VPM), an integrated model to evaluate public space characteristics. It is an initial attempt to model and predict the potential presence of people in public places (i.e. their Visit Potential); the presence and flux of people being the underlying driver of all public space. We achieved this by combining a proposed universal law of visit frequencies in cities with a gravity measure for accessibility. We also demonstrate how this model can be extended to represent public space quality and liveliness throughout the hours of the day - a crucial concept in public space design. The paper primarily discusses the development of the calculation model, describing three variants to calculate Visit Potential values for public spaces: based on a public space's accessibility to people, the potential number of people visiting attractors, and the number of people moving through and occupying a public space.
keywords public space quality; liveliness; weighted graphs; accessibility; walkability
series eCAADe
email
last changed 2022/06/07 07:50

_id caadria2018_158
id caadria2018_158
authors Koh, Immanuel
year 2018
title Learning Design Trends from Social Networks - Data Mining, Analysis & Visualization of Grasshopper® Online User Community
doi https://doi.org/10.52842/conf.caadria.2018.2.277
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 277-286
summary The paper has demonstrated that the increasingly online relationship between designers and their digital tools can be quantitatively represented, described and analyzed through the data-mining of design-domain specific and tool-based social network (i.e. Grasshopper3D). It explores design trends' correlations based on network user groups' size, users' demographics, nodes' degree centrality and discussion threads' popularity.
keywords Social Networks; Design Trends; Big Data; Parametric Design Tools; Data Visualization
series CAADRIA
email
last changed 2022/06/07 07:51

_id sigradi2018_1405
id sigradi2018_1405
authors Massara Rocha, Bruno; Santo Athié, Katherine
year 2018
title Emerging senses from Smart Cities phenomenon
source SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 434-441
summary The paper analyses the emerging senses from the Smart Cities phenomenon, using as background Lemos (2017), Maia (2013), Rozestraten (2016), Söderström, Paache & Klauser (2014) and evaluating the speeches found in the SmartCity Expo Curitiba. We identified three basic senses: the binary utopia/ficcion, business and informational city, discussed by philosophers such as Foucault (2017), Lévy (2011) e Harvey (2014). The results outline the importance of political role of technology and adverts that it must not be controlled by business. Finally, the paper concludes that the smartest technology is one that opens space to the inclusion of greater human expressivity and subjectivity, not inducing a space of control.
keywords Smart cities; Digital technologies; Technopolitics;
series SIGRADI
email
last changed 2021/03/28 19:58

_id ecaade2018_220
id ecaade2018_220
authors Moralioglu, Begum
year 2018
title Spatial User Interfaces in Mixed Reality - Online Shopping Experience Design
doi https://doi.org/10.52842/conf.ecaade.2018.2.753
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 753-760
summary The purpose of this study is to determine the parameters of the best possible spatial user interface design for the online shopping experience in mixed reality. In the first phase of the study, ten existing augmented and virtual reality shopping applications are examined, and the spatial relationships of the interfaces used in these experiences and the possibilities of natural interactions provided to the user are compared. In the next phase of the study, the interfaces are evaluated to propose a three-dimensional spatial interface powered by the mixed reality that improves the spatial relationship and neutrality of these interfaces.
keywords Mixed Reality; E-commerce; Spatial Interfaces; 3D User Interfaces; HoloLens; Natural Interfaces
series eCAADe
email
last changed 2022/06/07 07:58

_id sigradi2018_1269
id sigradi2018_1269
authors Noronha Pinto de Oliveira e Sousa, Marcela; Caffarena Celani, Maria Gabriela
year 2018
title Towards Urban Densification: Parametric Modeling of Possible Scenarios for Urban Mobility
source SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 415-422
summary This article presents a literature review on the relationship between urban design and travel demand, and systematically maps existing studies in generative, parametric and procedural urban modeling that have approached the subject. The methods used in these papers are discussed, and the computational tools described in them are analyzed to identify how they can be used to support the design process for retrofitting urban streets. The findings are used to identify what further developments are needed in order to allow for visualizing the impact of design decisions on modal share.
keywords Urban design; Parametric urbanism; Travel behavior; Built environment
series SIGRADI
email
last changed 2021/03/28 19:59

_id caadria2018_097
id caadria2018_097
authors Park, Daekwon
year 2018
title Adaptive THERM-SKIN - Tunable Cellular Materials for Adaptive Thermal Control
doi https://doi.org/10.52842/conf.caadria.2018.2.309
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 309-318
summary This research investigates a tunable cellular material system that can alternate between a thermal insulator and a heat exchanger. The capability to morph between these two distinctive thermal functions provide opportunities to create novel material systems that can dynamically adapt to its environment. The operating principle is to strategically deform the cellular material so that the shape and size of the cavities are optimized for the intended thermal function. In the compressed state, the cavity spaces are narrow enough to suppress convection heat transfer and utilize the low thermal conductivity property of still air. The expanded state has the optimum cavity dimensions for air to move through the system and exchange heat with the material system. The first stage of the research utilizes the existing thermal optimization studies for establishing the analytical model for predicting the performance of each state as a function of the geometric features. The second stage constructs a parametric model using the predictions, and two separate material architectures were designed and fabricated based on it. The calibrated analytical model can be utilized in designing various dynamic thermal interaction systems at a wide range of conditions and parameters (e.g., climate, temperature, scale, and material).
keywords Dynamic Thermal Insulation; Cellular Materials; Thermal Design and Optimization; Adaptive Materials
series CAADRIA
email
last changed 2022/06/07 08:00

_id ecaaderis2023_11
id ecaaderis2023_11
authors Sepúlveda, Abel, Eslamirad, Nasim, Seyed Salehi, Seyed Shahabaldin, Thalfeldt, Martin and De Luca, Francesco
year 2023
title Machine Learning-based Optimization Design Workflow based on Obstruction Angles for Building Facades
source De Luca, F, Lykouras, I and Wurzer, G (eds.), Proceedings of the 9th eCAADe Regional International Symposium, TalTech, 15 - 16 June 2023, pp. 15–24
summary This paper proposes a ML-based optimization design workflow based on obstruction angles for the optimization of building facades (i.e. g-value and window width). The optimization output consists of the optimal clustering of windows in order to ensure a desired level of daylight provision according to method 2 defined in the EN17307:2018 (i.e. based on Spatial Daylight Autonomy: sDA) and to not exceed a maximum level of specific cooling capacity (SCC). The independent variables or design parameters of the parametric model are: room orientation/dimensions, window dimensions, and obstruction angle (??). The ML prediction models were trained and tested with reliable simulation results using validate softwares. The total number of room combinations is 61440 for sDA and SCC simulations. The development of reliable (90% of right predictions) ML predictive models based on decision tree technique were calibrated. The optimal clustering of windows was done first by floors and secondly by the designer’s need to homogenize the external facade with similar glazing properties and window sizes, having impact on the annual heating consumption. The proposed method help designers to make accurate and faster design decisions during early design stages and renovation plans.
keywords optimization, daylight, thermal comfort, cooling capacity, machine-learning predictive model, office buildings, cold climates
series eCAADe
email
last changed 2024/02/05 14:28

_id ecaade2018_107
id ecaade2018_107
authors Sopher, Hadas, Fisher-Gewirtzman, Dafna and Kalay, Yehuda E.
year 2018
title Use of Immersive Virtual Environment in the Design Studio - An Assessment Model
doi https://doi.org/10.52842/conf.ecaade.2018.2.843
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 843-852
summary The Architectural Studio is dedicated to teaching students the design process. Students learn by developing an architectural artefact in increasing complexity. They do so through three phases: structuring the problem, developing design proposals and converging decisions into a detailed solution state. This process has been taking place mostly in traditional physical settings. The advent of new technologies, most notably Immersive Virtual Environments (IVEs), introduces a new kind of setting that holds promise to influence the architectural learning process. This paper describes a model we have developed to assess the impact of IVE on this learning process. To do so, we have developed a method for coding learners' design decisions and the way they are developed, accounting for their educational settings - whether a traditional studio classroom or an IVE. The method consists of units we term Knowledge Construction Activities (KCAs) and reveals the relationship between the learning process and the educational setting in which it takes place, through time. The results revealed that the IVE supported extensive design development, especially during the second and third learning phases, calling for an informed integration of IVEs in future Studio syllabi.
keywords Design Studio; Knowledge Construction Activities; Immersion; Design process; Design analysis
series eCAADe
email
last changed 2022/06/07 07:56

_id ecaade2018_w06
id ecaade2018_w06
authors Wortmann, Thomas
year 2018
title Beyond Genetic Algorithms - Understanding Simulation-based Optimization
doi https://doi.org/10.52842/conf.ecaade.2018.1.073
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 73-74
summary This workshop introduces simulation-based (i.e., black-box) optimization algorithms in Grasshopper in terms of their optimization strategies and performance. Through benchmarking on example problems defined by the participants, the workshop questions the almost exclusive reliance on Genetic Algorithms in Architectural Design Optimization.
keywords Simulation-based Optimization; Genetic Algorithms; Benchmarking
series eCAADe
email
last changed 2022/06/07 07:57

_id ecaade2018_134
id ecaade2018_134
authors Wurzer, Gabriel and Lorenz, Wolfgang E.
year 2018
title Options for obtaining a 'Gründerzeit' flat - A wet dream explored by means of a Cellular Automata model
doi https://doi.org/10.52842/conf.ecaade.2018.2.639
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 639-646
summary This work explores the dichotomy between old areas offering high-quality living in a low-density neighborhood (typically near the city center) and newly-developed areas with high-density and lesser quality in the suburbs. It especially addresses the scarcity of rentable 'Gründerzeit' flats in Vienna/Austria which have a ceiling height of 3.40m and date back to the mid-19th century. Other European cities have the same problem - supply of old properties perceived as offering a high quality of living does not meet the demand, which leads to high rent prices. The authors have captured the current situation of the housing market using Cellular Automaton (CA) rules; their main contribution lies in the exploration of three additional rules that seek to improve the availability of old (i.e. 'Gründerzeit') flats.
keywords Social Uprising through Cellular Automata
series eCAADe
email
last changed 2022/06/07 07:57

_id caadria2018_188
id caadria2018_188
authors Yu, K. Daniel, Haeusler, M. Hank, Fabbri, Alessandra and Simons, Katrina
year 2018
title BiCycle Pathway Generation Through a Weighted Digital Slime Mold Algorithm via Topographical Analysis
doi https://doi.org/10.52842/conf.caadria.2018.2.381
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 381-390
summary Cities are growing into larger suburbias which increasingly become dependent on cars as the primary mode of transport. Cycling is an alternative transport mode, but topography can often turn daily transport into cardiovascular exercise - not always a desirable outcome. Addressing this, planners can design cycle pathways that coincide with the landscape by planning the shortest path between two points, whilst considering the need to minimise effort (muscle power) to reach the destination. Using a Slime Mold algorithm the paper discusses possibilities of cycle pathway generation which utilises topographic gradients as the initial framework for the growth. The cycle path optimises the amount of effort required to travel between specified points, and adhere to a set of rules predefined by the user (e.g avoid occupied cadastral). A vector analysis determines the gradient sizes that define areas of the topography which are too steep for the algorithm to grow. The algorithm can be observed to generate cycling infrastructure that is both reflective of the environment and the amenities of humans. This investigation, its proposed hypothesis, methodology, implications, significance, and evaluation are presented in the paper.
keywords cycle pathway; slime mold; infrastructure generation; topography analysis; route choice
series CAADRIA
email
last changed 2022/06/07 07:57

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