| id |
caadria2016_343 |
| authors |
Asriana, Nova and Aswin Indraprastha |
| year |
2016 |
| title |
Making Sense of Agent-based Simulation: Developing Design Strategy for Pedestrian-centric Urban Space |
| source |
Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 343-352 |
| doi |
https://doi.org/10.52842/conf.caadria.2016.343
|
| summary |
This study investigates the relationships of field observa- tion, multi-agent simulation and space-syntax theory in spatial config- uration for developing design strategy for a case study, a tourist hub area in Musi Riverside, Palembang. Having such potential advantage and to tackle existing social and urban issues, our study developed a design approach based on multi-agent simulation enhanced by space syntax theory. The goal of this study is a deep understanding of multi agent simulation through mechanism of validation using field obser- vation and by taking into account the existing urban features. The purpose is to develop design strategy of pedestrian-centric urban space to be functioned as a tourist hub based on computational modelling. Following the paths result of pedestrian flow by multi-agents simula- tion, we elaborated the analysis of facility programming by means of Space Syntax theory. It shows the ranking of facility programs based on their relative connectivity and integration. By merging this result, it assembles programs and their circulation spaces by means of compu- tational simulation. Experimenting in both fields show a novel ap- proach for pedestrian-centric design in urban scale, particularly since behavioural models rarely used in early stage of design process. It shows that multi-agent simulation should be coupled with field obser- vation. |
| keywords |
Multi-agents simulation; network analysis; Space Syntax theory; design strategy; urban space |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (26,876,909 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:54 |
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