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A Data-Driven Participatory Decision Model Proposal in the Context of Urban Vibrancy
A Data-Driven Participatory Decision Model Proposal in the Context of Urban Vibrancy
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This paper focuses on the vibrancy of urban environments in the context of liveability. The objective is to explore the interrelationships of activity determinants what attracts visitors to support vibrancy decisions. The research questions how to uncover the relationships among vibrancy parameters and how to utilize the relation network for decision support. We utilize Bayesian Belief Network (BBN) for relational analysis and support with expert participation for an efficient decision-making. In this way, we expect to develop a causal by calibrating the data-driven BBN network. The results show that the user density has direct relationship with public open space, place rate, activity diversity, landmarks’ visitation rate cultural attributes, and accessibility; indirect relationship with time diversity, activity diversity and density. The results support the arguments on the importance of activity diversity in space and time, and intense urban pattern within the attractiveness public spaces for urbanity
This paper focuses on the vibrancy of urban environments in the context of liveability. The objective is to explore the interrelationships of activity determinants what attracts visitors to support vibrancy decisions. The research questions how to uncover the relationships among vibrancy parameters and how to utilize the relation network for decision support. We utilize Bayesian Belief Network (BBN) for relational analysis and support with expert participation for an efficient decision-making. In this way, we expect to develop a causal by calibrating the data-driven BBN network. The results show that the user density has direct relationship with public open space, place rate, activity diversity, landmarks’ visitation rate cultural attributes, and accessibility; indirect relationship with time diversity, activity diversity and density. The results support the arguments on the importance of activity diversity in space and time, and intense urban pattern within the attractiveness public spaces for urbanity
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DOI: 10.5151/sigradi2021-144
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Kırdar, Gülce; Çağdaş, Gülen; "A Data-Driven Participatory Decision Model Proposal in the Context of Urban Vibrancy", p-175-190.
In: XXV International Conference of the Iberoamerican Society of Digital Graphics.
São Paulo: Blucher,
2021.
ISSN 23186968,
DOI 10.5151/sigradi2021-144
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TY - CONF T1 - A Data-Driven Participatory Decision Model Proposal in the Context of Urban Vibrancy JO - Blucher Design Proceedings VL - 9 IS - 6 SP - 175 EP - 190 PY - 2021 T2 - XXV International Conference of the Iberoamerican Society of Digital Graphics AU - , SN - 23186968 DO - http://dx.doi.org/10.5151/sigradi2021-144 UR - www.proceedings.blucher.com.br/article-details/a-data-driven-participatory-decision-model-proposal-in-the-context-of-urban-vibrancy-37072 KW - ER -
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@article{Kırdar20144,
title="A Data-Driven Participatory Decision Model Proposal in the Context of Urban Vibrancy",
journal="Blucher Design Proceedings",
volume="9",
number="6",
pages="175 - 190",
year="2021",
note="",
issn="23186968",
doi="http://dx.doi.org/10.5151/sigradi2021-144",
url="www.proceedings.blucher.com.br/article-details/a-data-driven-participatory-decision-model-proposal-in-the-context-of-urban-vibrancy-37072",
author="Gülce Kırdar", "Gülen Çağdaş",
keywords="",
}
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Gülce Kırdar, Gülen Çağdaş, A Data-Driven Participatory Decision Model Proposal in the Context of Urban Vibrancy, Blucher Design Proceedings, Volume 9, 2021, Pages 175-190, ISSN 23186968, http://dx.doi.org/10.5151/sigradi2021-144 (www.proceedings.blucher.com.br/article-details/a-data-driven-participatory-decision-model-proposal-in-the-context-of-urban-vibrancy-37072) Palavras-chave:: ;