| id |
caadria2024_382 |
| authors |
Liu, Mengxuan, Yang, Chunxia and Fan, Zhaoxiang |
| year |
2024 |
| title |
Prediction, Simulation and Evaluation of Stay Behavior in Public Space Integrated With Microclimate |
| doi |
https://doi.org/10.52842/conf.caadria.2024.2.129
|
| source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 129–138 |
| summary |
As "users", individuals directly influence the use of space through their choices and decisions, ultimately determining the vitality of the space. Among these behaviours, stay behaviour significantly contributes to the dominance of space vitality due to its longer occupancy. Therefore, this study focuses on the stay behaviour in public spaces, with a specific emphasis on the choice and decision-making related to seating facilities. The study introduces a neural network model to analyse the influence weights of space and microclimate factors on the preferences of individuals. These weights are then integrated into a social force model to achieve the simulation and visualization of stay behaviour in public spaces. Building upon the results of behaviour simulation, the study evaluates the current utilization of seating facilities in existing public spaces. The original contribution of this study proposes a comprehensive workflow for the simulation of stay behaviour, encompassing "model construction - visualization - evaluation analysis - optimization." The aim is to provide insights for the quantitative analysis and rapid design of urban spatial environments. |
| keywords |
Public Space Analysis, Outdoor Activities, Behaviour simulation, Behaviour Prediction, Microclimate Perception |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (19,183,120 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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