The notion of validity in experimental crowd dynamics
Milad Haghani

TL;DR
This paper discusses the importance of different validity types in crowd dynamics experiments, emphasizing the need to balance control and realism based on research goals.
Contribution
It provides a framework for understanding various validity dimensions and their relevance depending on the experiment's purpose in crowd dynamics research.
Findings
Different types of validity are crucial depending on experiment goals
Artificial laboratory settings can be justified for certain research aims
Balancing internal and external validity is essential for reliable crowd experiments
Abstract
As experimental methods become increasingly popular in crowd dynamics, the question of experimental validity becomes more critical than ever. For the purposes of evaluation of crowd experiments, it is paramount that we distinguish between different dimensions of their validity. Here, we differentiate between four types of experimentation in crowd dynamics based on their underlying purpose of investigation. This includes experiments whose main aim is (i) testing a behavioural theory/hypothesis, (ii) exploring empirical behavioural regularities; (iii) assessing collective (system-level) performance rather than individual behaviour (iv) calibrating and/or validating pre-existing models. While delineating various dimensions of external/internal validity as they relate to crowd experiments, we argue how the importance of different validity dimensions varies depending on investigation…
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Taxonomy
TopicsEvacuation and Crowd Dynamics · COVID-19 epidemiological studies · Ecosystem dynamics and resilience
