Predictors of evacuation behavior: dataset on respondents' route choice and web interaction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F26%3A0200225" target="_blank" >RIV/00216305:26110/26:0200225 - isvavai.cz</a>

Result on the web

<a href="https://www.nature.com/articles/s41597-025-04440-y" target="_blank" >https://www.nature.com/articles/s41597-025-04440-y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41597-025-04440-y" target="_blank" >10.1038/s41597-025-04440-y</a>

Result language

angličtina

Original language name

Predictors of evacuation behavior: dataset on respondents' route choice and web interaction

Original language description

Empirical data on human evacuation behavior are invaluable for adjusting and training computational algorithms that simulate evacuation processes, including agent-based modeling. We provide a dataset on human decision-making during evacuations from virtual buildings, captured using experimental methods that controlled specific building layout parameters. An online experiment assigned participants a random subset of tasks featuring T-intersections. Data from 208 respondents, aged 17 to 71, were analyzed, considering education levels and excluding those with significant technical issues. Quantitative data on user interaction and evacuation route choices included decision time, mouse rotation, and the selected corridor, recorded through mouse clicks on invisible areas of interest. Respondents also self-reported their choice confidence on a Likert scale. Additionally, responses to final retrospective evaluation questionnaires were recorded. This dataset offers diverse research opportunities, particularly in emergency evacuation planning, where understanding evacuation choices in simulations can inform real-world strategies. It supports the development of models to predict human behavior in emergencies using machine learning and predictive modeling and is accessible for both academic and commercial use.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10700 - Other natural sciences

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Scientific Data

ISSN

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e-ISSN

2052-4463

Volume of the periodical

1

Issue of the periodical within the volume

12

Country of publishing house

GB - UNITED KINGDOM

Number of pages

8

Pages from-to

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UT code for WoS article

001401990300005

EID of the result in the Scopus database

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