MS
M. Sparnaaij
6 records found
1
The multi-dimensional challenges of controlling respiratory virus transmission in indoor spaces
Insights from the linkage of a microscopic pedestrian simulation and SARS-CoV-2 transmission model
SARS-CoV-2 transmission in indoor spaces, where most infection events occur, depends on the types and duration of human interactions, among others. Understanding how these human behaviours interface with virus characteristics to drive pathogen transmission and dictate the outcome
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Using pedestrian modelling to inform virus transmission mitigation policies
A novel activity scheduling model to enable virus transmission risk assessment in a restaurant environment
The Covid-19 pandemic has had a large impact on the world. The virus spreads especially easily among people in indoor spaces such as restaurants. Hence, tools that can assess how different restaurant settings can impact the potential spread of an airborne virus and that can asses
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Rotating ones body is a strategy pedestrians commonly use to avoid collisions. Even though this behaviour impacts capacity heavily, this rotation behaviour is seldomly studied. This research aims to increase insight into rotation behaviour of pedestrians in high density bidirecti
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Most works featuring the capacity of pedestrian infrastructures have focussed on unidirectional movement base cases, studied relatively low-density situations and instructed their participants to behave ‘normal’. However, during large crowd movements at train stations and events
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Multiobjective Calibration Framework for Pedestrian Simulation Models
A study on the Effect of Movement Base Cases, Metrics, and Density Levels
Ideally, a multitude of steps has to be taken before a commercial implementation of a pedestrian model is used in practice. Calibration, the main goal of which is to increase the accuracy of the predictions by determining the set of values for the model parameters that allows for
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