Investigating effective wayfinding in airports: a Bayesian network approach

Transport

Tristan Kleinschmidt¹  Kerrie Mengersen¹  Prasad K. D. V Yarlagadda¹  Anna Charisse Farr¹  Sandra Johnson¹ 

[1] Queensland University of Technology, Brisbane, Queensland, Australia

关键词: Bayesian network;    graphical model;    wayfinding;    airport;   

DOI  :  10.3846/16484142.2014.898695

学科分类：航空航天科学

来源: Vilnius Gedinimas Technical University

【 摘 要 】

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.

【 授权许可】

CC BY