Estimating Choice Models to Quantify the Effect of Herding on the Decision to Evacuate

Application of a Serious Gaming Experimental Setup

Journal Article (2018)
Authors

M. Van den Berg (Transport and Planning)

R van Nes (Transport and Planning)

Serge Hoogendoorn (TU Delft - Transport and Planning)

Affiliation
Transport and Planning
Copyright
© 2018 M. van den Berg, R. van Nes, S.P. Hoogendoorn
To reference this document use:
https://doi.org/10.1177/0361198118784404
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 M. van den Berg, R. van Nes, S.P. Hoogendoorn
Affiliation
Transport and Planning
Issue number
1
Volume number
2672
Pages (from-to)
161-170
DOI:
https://doi.org/10.1177/0361198118784404
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Abstract

Insight into factors influencing the choices people make in case of an evacuation from a natural disaster can help governments and emergency management personnel to manage people in case of such a situation. One of the aspects that influences the choices that people make in such a situation is herding. Since herding has not been quantified, this paper focuses on quantifying the effect of herding on the decision to evacuate by using an experimental setup that is based on the serious game Everscape. Around 400 people participated in 13 experiments with this setup. Choice models were estimated with the data from these experiments by including observable characteristics of herding as an attribute into the utility function. It is concluded that an important step is made in quantifying herding. It is shown that the more people someone sees leaving, the more inclined this person is to leave. Seeing people leave has more impact than seeing people stay. When people have no information from official sources, they tend to use other people as a source of information. In case of a disaster, this might result in following people who make the situation even more dangerous (for themselves and possibly for others as well). The information provided by official sources is therefore essential in managing people in the best possible way in case of a natural disaster.