| id |
caadria2020_094 |
| authors |
Yang, Chunxia and Gu, Zhuoxing |
| year |
2020 |
| title |
Optimization of Public Space Design Based on Reconstruction of Digital Multi-Agent Behavior - --Taking the public space of the North Bund in Shanghai as an example |
| doi |
https://doi.org/10.52842/conf.caadria.2020.1.335
|
| source |
D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 335-344 |
| summary |
This paper uses the digital software platform to build an intelligent multi-agent system. Through the classification of site elements, the Shanghai North Bund waterfront public space elements are classified into different systems such as transportation hub facilities, catering facilities, shopping facilities and leisure venues. The main population activities in this area are classified into different activities such as youth activities, elderly activities, and family activities through user behavior classification. Finally, the intelligent multi-agent particle swarm is built by the dynamic simulation component of grasshopper, and its individual behavior rules and group interaction rules are adjusted to form the crowd moving particle flow. The particle flow interacts with the classified site elements to derive a distribution pattern of population activity in different systems. Particle flow data information and particle distribution patterns after interactive simulation can be the support for urban design evaluation and optimization. |
| keywords |
Self-organizing system; Multi-agent system; Particle property construction; Urban design elements; Waterfront public space |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (17,491,072 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:57 |
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