Abstract
In response to pandemic-related social distancing measures, this paper presents a computational model for simulating resident congestion in Singapore's 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. © 2021 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong.
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