| id |
caadria2024_105 |
| authors |
Gao, Xiangyu, Zhang, Li and Huang, Xiaoran |
| year |
2024 |
| title |
Exploring Spatial Arrangement of Locker Area in Ski Resort Hall for Enhancing Interpersonal Distancing Using Unity Engine |
| 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 3, pp. 411–420 |
| doi |
https://doi.org/10.52842/conf.caadria.2024.3.411
|
| summary |
With the success of the recent Winter Olympics, there has been a rising demand for winter sports in the Asian region, particularly in China. During peak seasons, the surge in ski tourists often leads to overcrowding at ski resorts, resulting in circulation congestion. This paper investigates how the locker room spatial layout in a ski resort hall influences skier behaviour and perception using agent-based modelling (ABM) via Unity3D. First, this paper examines how unique skier behaviours, such as transitioning into heavy ski suits, affect crowd circulation and density. Second, this research explores the influence of psychological distance on tourist satisfaction by employing a logarithmic algorithm based on Proxemics, a widely applied social distancing theory. Third, we harness machine learning approach (Unity's ML-Agent) to optimize locker layouts by balancing overall perceived crowd density and utility efficiency, generating more informative results compared to traditional empirical methods. These findings could inform architects, planners and managers with quantitative evidence in future Ice sport renovation and development projects. The methodology outlined in this work also offers valuable insights for evaluating and optimizing spatial layouts to enhance the ski experience in regions experiencing a surge in winter sports popularity. |
| keywords |
ski resort, locker placement, agent-based modelling, proxemics, machine learning. |
| series |
CAADRIA |
| email |
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| full text |
 file.pdf (2,352,952 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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