The COVID-19 global pandemic has generated an abundance of research quickly following
the outbreak. Within only a few months, more than a thousand studies on this topic have …

Collecting pedestrian behaviour data is vital to understand pedestrian behaviour. This
systematic review of 147 studies aims to determine the capability of contemporary data …

Crowds can be subject to intrinsic and extrinsic sources of risk, and previous records have
shown that, in the absence of adequate safety measures, these sources of risk can …

To understand the current development and status of research on emergency evacuation,
the published literature in the Web of Science core database from 2008 to 2018 were taken …

Crowd accidents–defined as situations where mass gatherings of people lead to deaths or
injuries–have become a frequent occurrence on a global scale. Given the recurring nature of …

In the event of a fire emergency in the built environment, occupants face a range of
evacuation decisions, including the choice of exits. An important question from the …

The role of data-driven approaches in studies of crowd behaviour has received an
unprecedented recognition in recent years. As a result, the size of the empirical crowd …

Since its inception, the choice modelling field has been dominated by theory-driven
modelling approaches. Machine learning offers an alternative data-driven approach for …

Following the review of the experimental methods and top emerging topics, here, studies
using the field data collection methods of pedestrian dynamics (April 2017-July 2019) are …

Evacuation modelling has developed over time from simple engineering equations that do
not consider behavioral tendencies to more sophisticated models with the potential to …