| id |
caadria2023_114 |
| authors |
Liu, Mengxuan, Yang, Chunxia and Fan, Zhaoxiang |
| year |
2023 |
| title |
Behaviour Simulation Optimization Based on the Influence of Microclimate on Crowd Perception – A Case Study of Urban Waterfront Public Space |
| doi |
https://doi.org/10.52842/conf.caadria.2023.2.019
|
| source |
Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 19–28 |
| summary |
The outdoor behaviour is usually influenced by space and environment. Previous studies on behaviour simulation of outdoor space always focused on the influence of two-dimensional space, but did not take the microclimate perceived into account. However, the microclimate of outdoor public spaces has a strong influence on the activities, which makes the subsequent behaviour simulation results unable to fit well with the reality. Therefore, this research attempts to integrate the influence of space and microclimate perception of crowd into behaviour simulation system. Firstly, we explored the laws of behaviour in terms of seasons, weekdays/weekends, and time slices. Secondly, the multiple linear regression equations of the influence of space and microclimate on behaviour were established. In addition, combining the laws and models with the social force model, a behaviour simulation model in public space under the joint influence of microclimate and space was established. Finally, a comprehensive workflow combining microclimate simulation and behaviour simulation was proposed. The research promoted the application and development of behaviour simulation technology from strong-purpose behaviours to weak-purpose and non-purpose behaviours. Moreover, starting from human behaviour and perception, it provides support for the optimization of urban public space from the bottom up. |
| keywords |
Behaviour Simulation, Microclimate Perception, Outdoor Activities, Public Space |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,734,435 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/06/15 23:14 |
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