Lecture Notes in Geoinformation and Cartography
DOI: 10.1007/978-3-540-72108-6_17
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Agent-Based Simulation of Spatial Cognition and Wayfinding in Building Fire Emergency Evacuation

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Cited by 23 publications
(20 citation statements)
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“…Currently, ease of wayfinding is evaluated using four approaches: real field testing [10], virtual field testing [11,12], CAD model analysis [13], and wayfinding simulation [14][15][16][17][18][19][20]. In real field tests [10], a certain number of human subjects are asked to perform experimental wayfinding tasks in a real environment.…”
Section: Signage Type Navigation Informationmentioning
confidence: 99%
See 1 more Smart Citation
“…Currently, ease of wayfinding is evaluated using four approaches: real field testing [10], virtual field testing [11,12], CAD model analysis [13], and wayfinding simulation [14][15][16][17][18][19][20]. In real field tests [10], a certain number of human subjects are asked to perform experimental wayfinding tasks in a real environment.…”
Section: Signage Type Navigation Informationmentioning
confidence: 99%
“…However, this approach cannot evaluate ease of wayfinding in terms of signage visibility, legibility, and noticeability because three-dimensional (3D) interactions between individuals and signage are not considered. Recently, a variety of wayfinding simulations has been proposed [14][15][16][17][18][19][20]. Such simulation-based approaches have made it possible to evaluate the ease of wayfinding by simulating the wayfinding of the pedestrian model.…”
Section: Signage Type Navigation Informationmentioning
confidence: 99%
“…With crowd behaviour model, building environment can be dynamically perceived by individual, and the individual behaviours in different scenarios can be simulated, the spatiotemporal location of the individuals can be calculated dynamically , the intelligent management and decision-making of crowd evacuation can be realized finally (Shi, 2009). Based on path finding model, with model parameters (e.g., crowd spatiotemporal distribution, position and width of exits) and the modelling goals (e.g., ease congestion, reduce the total evacuation time, reduce the fire hazards to crowd), crowd evacuation paths can be calculated intelligently (Hajibabai, 2007;Song, 2016). Based on crowd rescue model, considering fire hazard on firefighters and fire damage of architectural component, the optimal rescue route can be searched to help the firefighter evacuate the trapped people (Kobes, 2010;Wu, 2012).…”
Section: Model Environmentmentioning
confidence: 99%
“…There is considerable breadth in the range of theoretical approaches that are considered when modeling navigation and way-finding in these traditions. For example, models have been used to examine the economy of movement in retail streetscapes relative to particular points of interest [217], way-finding in emergency contexts with unfamiliarity and stress [218], the influence of errors and misjudgment on agents' way-finding [219], hierarchy in how information is stored and prioritized [220][221][222], and the role of affordances in weighting decisions [223]. Work in formalizing the concepts that these behaviors share as ontology is particularly well-developed [224,225].…”
Section: Behavioral Geographymentioning
confidence: 99%