Review of Agent-Based Evacuation Models in Python']Python

The aim of this paper is to explore agent-based evacuation models in Python by conducting a systematic literature search using the PRISMA methodology. The principles of evacuation models are briefly described. Python packages and libraries for agent-based modelling frameworks are explained. Two research questions are defined. The first question aims to find out what typical current agent-based evacuation models look like in sense of application domain and location, number of agents, time and space scale etc.). The second question focuses on the details of the use of the Python programming language and libraries in implementations of agent-based evacuation models. The results of the PRISMA review are presented. Overall, Python is a suitable language for the development of agent-based evacuation models, as evidenced by the number of programming libraries and tools, as well as the growing number of scientific publications in last six years. However, most of the currently published models suffer from many shortcomings. A main surprise is the lack of adherence to standards in describing the agent-based computational model, providing source code and sharing documentation of experiments.