SARS-CoV-2 transmission in indoor spaces, where most infection events occur, depends on the types and duration of human interactions, among others. Understanding how these human behaviours interface with virus characteristics to drive pathogen transmission and dictate the outcomes of non-pharmaceutical interventions is important for the informed and safe use of indoor spaces. To better understand these complex interactions, we developed the Pedestrian Dynamics—Virus Spread model (PeDViS): an individual-based model that combines pedestrian behaviour models with virus spread models that incorporate direct and indirect transmission routes. We explored the relationships between virus exposure and the duration, distance, respiratory behaviour, and environment in which interactions between infected and uninfected individuals took place and compared this to benchmark ‘at risk’ interactions (1.5 metres for 15 minutes). When considering aerosol transmission, individuals adhering to distancing measures may be at risk due to build-up of airborne virus in the environment when infected individuals spend prolonged time indoors. In our restaurant case, guests seated at tables near infected individuals were at limited risk of infection but could, particularly in poorly ventilated places, experience risks that surpass that of benchmark interactions. Combining interventions that target different transmission routes can aid in accumulating impact, for instance by combining ventilation with face masks. The impact of such combined interventions depends on the relative importance of transmission routes, which is hard to disentangle and highly context dependent.

Transportation systems are complex yet vital infrastructures. Different stakeholders have to work together to guarantee the most efficient traffic of humans and goods. Challenges that stakeholders face in such infrastructure systems, like divergent interests and attitudes, make it hard to predict behaviour. To understand the complex systems including the behaviour of the stakeholders, it is relevant to model decision-making processes. For this reason, simulation games were developed. The present article focuses on two different case studies. Both are studies in which board games were used. After explaining each case study, a comparative section follows to give an overview about advantages and disadvantages of the use of board games in the transportation sector.