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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	cdrf2022_223
id	cdrf2022_223
authors	Zhiyi Dou, Waishan Qiu, Wenjing Li, Dan Luo
year	2022
title	Evaluation Process of Urban Spatial Quality and Utility Trade-Off for Post-COVID Working Preferences
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_19
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	The formation of cities, and the relocation of workers to densely populated areas reflect a spatial equilibrium, in which the higher real consumption levels of urban areas are offset by lower non-monetary amenities [1]. However, as the society progress toward a post-COVID stage, the prevailing decentralized delivery systems and location-based services, the growing trend of working from home, with citizens’ shifting preference of de-appreciating densities and gathering, have not only changed the possible spatial distribution of opportunities, resources, consumption and amenities, but also transformed people’s preference regarding desirable urban spatial qualities, value of amenities, and working opportunities [2, 3]. This research presents a systematic method to evaluate the perceived trade-off between urban spatial qualities and urban utilities such as amenities, transportation, and monetary opportunities by urban residence in the post-COVID society. The outcome of the research will become a valid tool to drive and evaluate urban design strategies based on the potential self-organization of work-life patterns and social profiles in the designated neighbourhood. To evaluate the subjective perception of the urban residence, the study started with a comparative survey by asking residence to compare two randomly selected urban contexts in a data base of 398 contexts sampled across Hong Kong and state their living preference under the presumption of following scenarios: 1. working from home; 2. working in city centre offices. Core information influencing the spatial equilibrium are provided in the comparable urban context such as street views, housing price, housing space, travel time to city centre, adjacency to public transport and amenities, etc. Each context is given a preference score calculated with Microsoft TrueSkill Bayesian ranking algorithm [4] based on the comparison survey of two scenarios. The 398 contexts are further analysed via GIS and image processing, to be deconstructed into numerical values describing main features for each of the context that influence urban design strategies such as composition of spatial features, amenity allocation, adjacency to city centre and public transportations. Machine learning models are trained with the numerical values of urban features as input and two preference scores for the two working scenarios as the output. The correlation heat maps are used to identify main urban features and its p-value that influence residence’s preference under two working scenarios in post–COVID era. The same model could also be applied to inform the direction of urban design strategies to construct a sustainable community for each type of working population and validate the design strategies via predicting its competitiveness in attracting residence and developing target industries.
series	cdrf
email
last changed	2024/05/29 14:02

_id	ecaade2022_136
id	ecaade2022_136
authors	Hong, Soon-min, Kim, Dong-wuk, Gu, Hyeong-mo and Choo, Seung-yeon
year	2022
title	Establishment of Database for Automated Building Codes Compliance Checking in the Pre-Design Phase
doi	https://doi.org/10.52842/conf.ecaade.2022.2.329
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. 329–338
summary	The ICT’s development has led to the introduction of work automation technology into the AEC industry, and many governments around the world have attempted to increase work efficiency by introducing the automation technology for building legality review into the building administrative system. Prior to this, it is essential to develop a database of which natural language-based building codes should be modified in code. Thus, this study addresses a method to convent building acts in the form of natural language into computer-readable one through formalization and encoding and to establish database with the aim of developing the automation technology for legality review for setting size used in pre-design phase. The method suggested is verified through the developed authoring tool.
keywords	Automated Checking, Building Codes Compliance, Mass Generation
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_464
id	caadria2022_464
authors	Liu, Xinyu and van Ameijde, Jeroen
year	2022
title	Data-driven Research on Street Environmental Qualities and Vitality Using GIS Mapping and Machine Learning, a Case Study of Ma On Shan, Hong Kong
doi	https://doi.org/10.52842/conf.caadria.2022.1.485
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 485-494
summary	In a post-carbon framework, data-driven methods can be used to assess the environmental quality and sustainability of urban streetscape. Streets are an important part of people's daily lives and provide places for social interaction. Therefore, in this study, the relationship between street quality and street vibrancy is measured using the new town of Ma On Shan, Hong Kong as a study area. Firstly, machine learning was used to identify the physical features of streets through geographic information collection and streetscape image acquisition. Secondly, previous measurement algorithms are combined to calculate the greenness, walkability, safety, imageability, enclosure, and complexity of streets. Thirdly, secondary calculations and visualisations were carried out on a Geographic Information System (GIS) platform to observe the current distribution of street qualities. Finally, the relationship between street quality and vibrancy was analysed using SPSS statistical analysis software. The results show that walkability has a positive effect on street vitality, whereas safety and complexity have a negative effect on street vitality. This study demonstrates how the quantitative assessment of urban street environments can be used as a reference for building a green, low-carbon, healthy, and walkable city.
keywords	Street Quality, Geographic Information Systems, Machine Learning, Image Segmentation, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac202220107
id	ijac202220107
authors	Yu Ma, Chun; Jeroen van Ameijde
year	2022
title	Adaptable modular construction systems and multi-objective optimisation strategies for mass-customised housing: A new user-driven paradigm for high-rise living in Hong Kong
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 96–113
summary	There has been a recent increase in the exploration of ‘the discrete’ in architecture, speculating on how an integrated approach to design, fabrication, assembly and inhabitation can disrupt the traditional investment- and decision-making models in the housing industry. Strategically designed part-to-whole systems allow for differentiation and reconfiguration, and the incorporation of different end-user’ requirements. This potential of ‘democratising’ housing production requires further research into how the negotiation between multiple stakeholders’ preferences can be guided through digital methods. This paper presents a research-by-design project that applies a digital and discrete material system to high-rise housing in Hong Kong, a typology which often features high degrees of standardisation. Through the development of an adaptable modular con- struction system and a multi-objective optimisation workflow, a system is explored that addresses the challenges of high-rise construction, and of customising high-density housing. The case study project demonstrates the ability of the workflow’s evolutionary algorithm to balance complex requirements including maximising views, daylight access and internal connectivity according to diverse user requirements.
keywords	Participatory Design, Generative Design, Multi-Objective Optimisation, Adaptable Architecture, High-rise Housing, Hong Kong
series	journal
last changed	2024/04/17 14:29

_id	caadria2022_293
id	caadria2022_293
authors	Li, Andre, Zhang, Hong, Cui, Weiwen and Huang, Jie
year	2022
title	Implementation of Point Cloud and BIM Technologies in a Construction Workflow: A Case Study of a Building Project in Yuecheng District, China
doi	https://doi.org/10.52842/conf.caadria.2022.2.567
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 567-576
summary	In recent years, there has been a surge of retrofitting and building projects in rural China, to elevate the living standards in local areas. However, with the conventional use of surveying and inspection instruments, the amount of construction errors account to substantial waste of materials, time and labour. The issue is magnified in the current context that emphasises on efficient utilisation of resources. The emergence of laser scanning and BIM technologies is evident with scanning equipment and software being more accessible. This paper explores the use of the two technologies, to be integrated into the a construction workflow. The research includes a self-conducted site survey, data collection, data processing and analyses. The processed point cloud data is extracted and compared to the as-designed BIM model, to analyse and assess the construction errors in various scales. The result displays a significant portion of the building being out of tolerance and its causes. A theoretical framework is proposed to integrate point cloud and BIM technologies, not only to document and assess the overall building dimensional accuracy, but also to minimise construction errors and waste, ensuring a responsible consumption and production of building materials.
keywords	BIM, laser scanning, point cloud, construction workflow, cast-in-situ concrete structure, tolerance compliance, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

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