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_id	caadria2021_307
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
last changed	2022/06/07 08:00

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