2016
DOI: 10.1371/journal.pone.0166908
|View full text |Cite
|
Sign up to set email alerts
|

How Simple Hypothetical-Choice Experiments Can Be Utilized to Learn Humans’ Navigational Escape Decisions in Emergencies

Abstract: How humans resolve non-trivial tradeoffs in their navigational choices between the social interactions (e.g., the presence and movements of others) and the physical factors (e.g., spatial distances, route visibility) when escaping from threats in crowded confined spaces? The answer to this question has major implications for the planning of evacuations and the safety of mass gatherings as well as the design of built environments. Due to the challenges of collecting behavioral data from naturally-occurring evac… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
12
0
1

Year Published

2016
2016
2024
2024

Publication Types

Select...
9
1

Relationship

4
6

Authors

Journals

citations
Cited by 40 publications
(14 citation statements)
references
References 72 publications
1
12
0
1
Order By: Relevance
“…Despite that this phenomenon must be confirmed by further experiments in which other obstacle diameters and shapes as well as more competitiveness levels are implemented, our work challenges the validity of most of the existent models in which there is always a given range of obstacle positions for which the flow rate improves (with more or less efficacy depending on the obstacle properties). This hints about the necessity of revisiting, for the case of highly competitive conditions, some numerical aspects (such as the route choice [41] at spatial scales smaller than one metre) and/or incorporating new ones (such as the individuals shape [42,43] and the preferred orientation in the displacement [44,45]). Moreover, we discovered that placing an obstacle in front of the exit reduces the magnitude and number of collective transversal displacements, suggesting that its implementation would be beneficial in preventing falls.…”
Section: Resultsmentioning
confidence: 99%
“…Despite that this phenomenon must be confirmed by further experiments in which other obstacle diameters and shapes as well as more competitiveness levels are implemented, our work challenges the validity of most of the existent models in which there is always a given range of obstacle positions for which the flow rate improves (with more or less efficacy depending on the obstacle properties). This hints about the necessity of revisiting, for the case of highly competitive conditions, some numerical aspects (such as the route choice [41] at spatial scales smaller than one metre) and/or incorporating new ones (such as the individuals shape [42,43] and the preferred orientation in the displacement [44,45]). Moreover, we discovered that placing an obstacle in front of the exit reduces the magnitude and number of collective transversal displacements, suggesting that its implementation would be beneficial in preventing falls.…”
Section: Resultsmentioning
confidence: 99%
“…It is expected that this knowledge must be more fully discussed, before another similar tragedy happen 27 27 The last great fire tragedy in a nightclub with a lot of similarities to Boate Kiss happened in Romania, still not addressed. To illustrate, the following points can be raised: what would be the real contribution of the air conditioning system in the scattering of the smoke; environmental variables and others can significantly influence the route-choices [47][48][49], then what are the influence of each one the collective and environmental factors that caused people to move toward the bathroom instead of the exit; how realistic can one deal with accessibility and disability's issues for an evacuations in non-adaptive behaviour situation associated to a high population densities in a nightclub?…”
Section: Discussionmentioning
confidence: 99%
“…These are exit choice, local pathfinding, and step-taking modules. At the highest level of the modelling, we generate (i.e., probabilistically simulate) a choice of exit for each simulated agent [60][61][62][63] once they enter the main multiexit room. The choice is simulated from a multinomial logit model (see (1)) with five attributes (see (2)).…”
Section: Rationality Analysis At the Macro (System) Levelmentioning
confidence: 99%