The adaptive capacity of public space under COVID-19: Exploring urban design interventions through a sociotechnical systems approach.

The coronavirus disease 2019 (COVID-19) pandemic has had a dramatic impact on the way in which the community interacts within public spaces. Consequently, the design of these urban environments requires new approaches. It is our view that Human Factors and Ergonomics approaches can be used to provide these insights. This article explores the opportunities for making public spaces safer and more accessible for community use under pandemic conditions. The study utilizes a sociotechnical systems model of an archetype public space, developed pre-COVID-19, to explore the infrastructure and activities that are impacted by the introduction of the virus to the public space system. The aim was to identify those elements of the system that are completely unavailable under pandemic conditions, those elements that become limited in use, and those which remained unaffected by the presence of the virus. The findings show that under pandemic conditions pre-COVID-19 public spaces were surprisingly resilient with proportionally few elements within the model completely unavailable. They also demonstrate that overall, the public spaces system, while still operating, is significantly constrained in achieving and optimizing community and individual health and well-being. The insertion of five (5) urban design interventions within the system model presented unique insights into the possibilities for optimizing adaptive capacity. These interventions revealed design opportunities across several levels of the systems model. Such insights are argued to assist in not only re-establishing community access under pandemic conditions but also more inclusive access to a broader range of the community under all conditions.

Human Factors and Ergonomics and the management of existential threats: A work domain analysis of a COVID-19 return from lockdown restrictions system.

Following strict "lockdown" restrictions designed to control the spread of the COVID-19 virus, many jurisdictions are now engaged in a process of easing restrictions in an attempt to stimulate economic and social activity while continuing to suppress virus transmission. This is challenging and complex, and in several regions, new outbreaks have emerged. We argue that systems Human Factors and Ergonomics methods can assist in understanding and optimizing the return from lockdown. To demonstrate, we used work domain analysis to develop an abstraction hierarchy model of a generic "return from lockdown restrictions" system. The model was assessed to identify (a) issues preventing a successful return from lockdown; and (b) leverage points that could be exploited to optimize future processes. The findings show that the aim of continuing to suppress virus transmission conflicts with the aims of returning to pre-virus economic and social activity levels. As a result, many functions act against each other, ensuring that the system cannot optimally achieve all three of its primary aims. Potential leverage points include modifying the goals and rules of the system and enhancing communications and feedback. Specifically, it is argued that moderating economic aims and modifying how social and community activities are undertaken will result in longer term suppression of the virus.