Two new publications

Two recent publications from the Crowd Movement Milestone Project, initiated by the Digital Twin City Centre, are paving the way for more sustainable mobility and smarter urban development!

The first paper by Stavroulaki et al (2024), presented at the 14th space syntax conference, proposes a parsimonious predictive model based on street network modelling and a few spatial predictors that can be easily defined and calculated during early project stages. Trained on data from Stockholm, it demonstrated strong results when tested in Gothenburg’s city center. This concise yet effective model shows promising results for early forecast of pedestrian flows in development plans and infrastructural changes and can offer a valuable tool for planners and designers to predict pedestrian flows at early design and planning stages.

The second paper by Ullrich et al (2024), published in Frontiers in Built Environment, proposes a hybrid model that seamlessly integrates an agent-based model, which simulates the micro-scale movement of pedestrians in outdoor urban environments, with the network model presented in the first paper, which predicts the aggregated pedestrian flows on a macro-scale. The hybrid model has been applied to a pedestrian precinct in the city centre of Gothenburg, Sweden and the results show the models capability of predicting pedestrian movement throughout different scales.