Planning Safe Pedestrian Mass Events: Proposing a Framework for Mitigating Risks of Crowd Disasters at Mass Events in the Public Urban Space

Mass events are becoming more popular worldwide, with rising visitor numbers as an effect. The accommodation of larger crowds in the public urban space is not met with the available road capacity. The question is how to maintain crowd safety while continuing to organize massive festivities in the public urban space. Therefore, research has been...

Route choice behaviour at mass events: Stated- versus revealed preferences of pedestrian route choices at SAIL Amsterdam 2015

This master thesis analysed the route choice behaviour at the mass event SAIL Amsterdam 2015. Both stated preference [SP] (online survey) and revealed preference [RP] (GPS-trackers) data was collected, to gain more insight into the behaviour of pedestrians. Attributes of influence on the route choices are researched on the one hand. On the other...

Understanding pedestrians' perception of crowdedness at mass events: A simultaneous survey and monitoring study into personal, trip and event characteristics

At mass events, pedestrians can experience the level of crowdedness as unsafe, unpleasant and stressful. To gain a better understanding of perceived crowdedness, the effects of personal, trip and event characteristics at an event are researched. Data collection was performed by a simultaneous survey and monitoring study at the TT Festival in...

Enhancing crowd monitoring system functionality through data fusion: Estimating flow rate from wi-fi traces and automated counting system data

Crowd monitoring systems (CMSs) provide a state-of-the-art solution to manage crowds objectively. Most crowd monitoring systems feature one type of sensor, which severely limits the insights one can simultaneously gather regarding the crowd’s traffic state. Incorporating multiple functionally complementary sensor types is expensive. CMSs are...

Forecasting Crowd Movements in Real-Time: A database-driven approach for real-time prediction of crowd movement during mass events

Predicting crowd movements in real-time during mass events has been shown to be a complex yet valuable task in order to reduce the risk of overcrowding. The aim of this research is to propose and validate a crowd movement forecasting method for which simulation is performed offline (i.e. prior to the event) but the forecast is done online, in...