| id |
caadria2021_307 |
| authors |
Ortner, Frederick Peter and Tay, Jing Zhi |
| year |
2021 |
| title |
Pandemic resilient housing - modelling dormitory congestion for the reduction of COVID-19 spread |
| 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. 589-598 |
| doi |
https://doi.org/10.52842/conf.caadria.2021.2.589
|
| summary |
In response to pandemic-related social distancing measures, this paper presents a computational model for simulating resident congestion in Singapores migrant worker dormitories. The model is presented as a tool for supporting evidence-based building design and management. In contrast to agent-based or network-based building analysis, we demonstrate a method for implementing a schedule-based building simulation. In this paper we present the key functions and outputs of the computational model as well as results from analysis of a case study and its design variants. Learnings on the comparative advantages of schedule modification versus physical design modification in assisting social distancing are presented in a discussion section. In the conclusion section we consider applications of our learnings to other dense institutional buildings and future directions for evidence-based design for resilient buildings. |
| keywords |
Collective,collaborative & interdisciplinary design; Computational design research & education; Disrupted practices,resilience,and social sustainability; Simulation,visualization and impact projection |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (3,358,550 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 08:00 |
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