Investigating effective wayfindng in airports: a Bayesian Network approach

Farr, Anna Charisse and Kleinschmidt, Tristan and Johnson, Sandra and Yarlagadda, Prasad and Mengersen, Kerrie (2014) Investigating effective wayfindng in airports: a Bayesian Network approach. Transport, 29 (1). pp. 90-99. ISSN 1648-4142

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Effective wayfinding is the successful interplay of human and environmental factors resulting in a person successfully moving from their current position to a desired location in a timely manner. To date this process has not been modelled to reflect this interplay. This paper proposes a complex modelling system approach of wayfinding by using Bayesian Networks to model this process, and applies the model to airports. The model suggests that human factors have a greater impact on effective wayfinding in airports than environmental factors. The greatest influences on human factors are found to be the level of spatial anxiety experienced by travellers and their cognitive and spatial skills. The model also predicted that the navigation pathway that a traveller must traverse has a larger impact on the effectiveness of an airport's environment in promoting effective wayfinding than the terminal design.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version made accessible according to license.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Date Deposited: 09 Aug 2019 00:03
Last Modified: 09 Aug 2019 05:28
Uncontrolled Keywords: bayesian network, graphical model, wayfinding, airport
Fields of Research : 01 Mathematical Sciences > 0104 Statistics > 010401 Applied Statistics
Identification Number or DOI: 10.3846/16484142.2014.898695

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