| id |
sigradi2021_144 |
| authors |
Kirdar, Gülce and Çagdaº, Gülen |
| year |
2021 |
| title |
A Data-Driven Participatory Decision Model Proposal in the Context of Urban Vibrancy |
| source |
Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 175–189 |
| summary |
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. |
| keywords |
Big data, data-driven analysis, urban livability, participatory approach, design decision making. |
| series |
SIGraDi |
| email |
|
| full text |
 file.pdf (722,212 bytes) |
| references |
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| last changed |
2022/05/23 12:10 |
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