20.500.12556/RUP-21617 Modelling the spread of infectious diseases in public transport systems under varying demand patterns and capacity constraints Understanding the dynamics of passenger interactions and their epidemiological impact across public transportation systems is crucial for both service efficiency and public health. High passenger density and close physical proximity have been shown to accelerate the spread of infectious diseases. During the COVID-19 pandemic, many public transportation companies took measures to slow down and minimize the spread of the disease. One of these measures was introducing spacing and capacity constraints on public transit vehicles. Our objective is to explore the effects of changes in demand and transportation measures from an epidemiological point of view, offering alternative measures to public transportation companies to keep the system operational while minimizing the epidemiological risk as much as possible. Our findings show that restricting vehicle capacity can significantly reduce the spread of infections, while demand-related measures have an even stronger effect. Combining these approaches offers the best solutions for balancing public health and operability. agent based modelling infectious diseases network analysis agentno modeliranje kužne bolezni analiza omrežij true false false Angleški jezik Slovenski jezik Članek v reviji 2025-08-27 11:45:49 2025-08-27 11:45:51 2025-09-06 03:02:14 0000-00-00 00:00:00 2025 0 0 str. 1-15 article no. ǂ29958 Vol. 15 2025 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 2025-08-15 616.9:656:004 2045-2322 10.1038/s41598-025-15237-9 246769667 RAZ_Hajdu_Laszlo_2025.pdf RAZ_Hajdu_Laszlo_2025.pdf 1 711B31E0C0389C56E00D2F7D7DD78DFE d573bf28f5696602a8537f4ca778d29c9373d438e8766a900a6290c146b5a25d e0e7f57e-832a-11f0-8f0b-005056ac49c0 https://repozitorij.upr.si/Dokument.php?lang=slv&id=31419 https://www.nature.com/articles/s41598-025-15237-9 1 adf5cea8-832a-11f0-8f0b-005056ac49c0 https://repozitorij.upr.si/Dokument.php?lang=slv&id=31418 Fakulteta za matematiko, naravoslovje in informacijske tehnologije Inštitut Andrej Marušič 0 0 0