Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	ecaade2022_85
id	ecaade2022_85
authors	Ataman, Cem, Herthogs, Pieter, Tuncer, Bige and Perrault, Simon
year	2022
title	Multi-Criteria Decision Making in Digital Participation - A framework to evaluate participation in urban design processes
doi	https://doi.org/10.52842/conf.ecaade.2022.1.401
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 1, Ghent, 13-16 September 2022, pp. 401–410
summary	Data-driven urban design processes consist of iterative actions of many stakeholders, which require digital participatory approaches for collecting data from a high number of participants to make informed decisions. It is important to evaluate such processes to justify the necessary costs and efforts while continuously improving digital participation. Nevertheless, such evaluation remains a challenge due to the involvement of different stakeholders including participants, designers, and policymakers in decision-making processes, and the lack of a systematic method to generalize participation outputs that are mostly situated and context based. By addressing this challenge, this paper introduces a Multi-Criteria Decision Analysis (MCDA) based framework to measure the effectiveness and quality of digital participation systematically and quantitatively. To achieve such evaluation, we conducted a digital participation experiment and investigated such processes with the help of participants, designers, and policymakers from Singapore and Hamburg. By formulating this framework, we aim to reveal perspectives of different stakeholders towards digital participation and enable the evaluation and comparison of digital participation processes based on the introduced digital participation criteria.
keywords	Data-Driven Urban Design, Digital Participation, Stakeholder Involvement, Multi-Criteria Decision Analysis (MCDA), Participation Quantification
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_139
id	caadria2022_139
authors	Ataman, Cem, Tuncer, Bige and Perrault, Simon
year	2022
title	Asynchronous Digital Participation in Urban Design Processes: Qualitative Data Exploration and Analysis With Natural Language Processing
doi	https://doi.org/10.52842/conf.caadria.2022.1.383
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. 383-392
summary	This paper aims to improve the usability of qualitative urban big data sources by utilizing Natural Language Processing (NLP) as a promising AI-based technique. In this research, we designed a digital participation experiment by deploying an open-source and customizable asynchronous participation tool, "Consul Project‚, with 47 participants in the campus transformation process of the Singapore University of Technology and Design (SUTD). At the end of the data collection process with several debate topics and proposals, we analysed the qualitative data in entry scale, topic scale, and module scale. We investigated the impact of sentiment scores of each entry on the overall discussion and the sentiment scores of each introduction text on the ongoing discussions to trace the interaction and engagement. Furthermore, we used Latent Dirichlet Allocation (LDA) topic modelling to visualize the abstract topics that occurred in the participation experiment. The results revealed the links between different debates and proposals, which allow designers and decision makers to identify the most interacted arguments and engaging topics throughout participation processes. Eventually, this research presented the potentials of qualitative data while highlighting the necessity of adopting new methods and techniques, e.g., NLP, sentiment analysis, LDA topic modelling, to analyse and represent the collected qualitative data in asynchronous digital participation processes.
keywords	Urban Design, Digital Participation, Qualitative Urban Data, Natural Language Processing (NLP), Sentiment Analysis, LDA Topic Modelling, SDG 10, SDG 11.
series	CAADRIA
email
last changed	2022/07/22 07:34

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