| id |
caadria2021_081 |
| authors |
Li, Danrui, Huang, Rong and Wu, Yihao |
| year |
2021 |
| title |
Sensitivity Analysis of Pedestrian Simulation on Train station platforms |
| source |
A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 529-538 |
| doi |
https://doi.org/10.52842/conf.caadria.2021.2.529
|
| summary |
As the concerns for pedestrian safety in station design are growing, multi-agent simulation becomes more widely used nowadays. While the difference between inputs in regard to their impacts on simulation outputs needs further research, previous studies fail to provide a global analysis of it in complex environments with limited computation resources. Therefore, regression-based SRC and revised Morris Method are employed in a sensitivity analysis of train station platform simulations. Results show that preference for escalators and alighting rate are influential parameters to all three concerned outputs while the standard deviation of walking speed is negligible. Given that most simulation users have limited time and resources, this paper provides a list of parameters that deserve the time and effort to calibrate together with a factor fixing method that can be applied in similar scenarios. In this way, simulation users can lower the uncertainty of train station simulations more efficiently. |
| keywords |
Sensitivity analysis; Train station; Pedestrian; Simulation; Morris Method |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (1,177,558 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:52 |
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