Investments in transport infrastructure have long-lasting impacts. Meanwhile current social, environmental and technical developments that shape the transport system are highly uncertain. Especially in a transport system-of-systems dynamics can be non-linear. Through decision making under deep uncertainty techniques such as exploratory modelling and analysis we enable infrastructure agencies to make more robust decisions. Rather than forecasting transport flows, a large ensemble of plausible future scenarios is simulated accounting for a multitude of (combinations of) uncertainties. The models provide multi-level (i.e. on a global, network and asset level) and multi-purpose (i.e. traffic volumes, capacity utilization, greenhouse gas emissions) insights for national road, railway and waterway infrastructure.
Publications
Sander Mooren, 'Infrastructuurmodellering in een institutioneel gefragmenteerd landschap', Bestuurskunde 2023-4, p. 53-57 https://doi.org/10.5553/Bk/092733872023032004007
Chapter: To replace or not to replace: A model for future functional performance of bridges in Biondini, F., & Frangopol, D.M. (Eds.). (2023). Life-Cycle of Structures and Infrastructure Systems: PROCEEDINGS OF THE EIGHTH INTERNATIONAL SYMPOSIUM ON LIFE-CYCLE CIVIL ENGINEERING (IALCCE 2023), 2-6 JULY, 2023, POLITECNICO DI MILANO, MILAN, ITALY (1st ed.). CRC Press. https://doi.org/10.1201/9781003323020
People involved
