Banafsheh Hajinasab successfully defended her PhD thesis, A Dynamic Approach to Multi-Agent Based Simulation in Urban Transportation Planning, on June 15 at Malmö University. Opponent was Professor Kay Axhausen, ETH Zürich.
In the dissertation, Banafsheh Hajinasab presented a simulation model that, with good accuracy, can predict our daily commuting and traveling.
“My model is based on open data which is available online and therefore can be automatically updated,” says Banafsheh Hajinasab.
Open data may in this case refer to changes in bus traffic or higher prices, information that is immediately available. Computational models are often used to analyze the impact of various infrastructure investments and transport policies, for example to reduce car traffic and improve public transport. But unlike the system she developed, they require a large amount of data to investigate a specific scenario.
“My model takes into account every individual’s travel and is not limited to a particular event,” says Banafsheh Hajinasab.
In her dissertation, she uses a model-based simulation model that weighs in sociodemographic and personal factors: income, car / bicycle access, environmental awareness. But also things like proximity to public transport, travel time, costs and weather conditions. Simply all the things behind our decision on traveling.
» Originally published as Träffsäker modell för trafikplanering, by Magnus Jando.