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dc.contributor.authorXia, Jianhong (Cecilia)
dc.contributor.authorPacker, D.
dc.contributor.authorDong, Jonathan
dc.contributor.editorR.S. Anderssen
dc.contributor.editorR.D. Braddock
dc.contributor.editorL.T.H. Newham
dc.date.accessioned2017-01-30T15:00:52Z
dc.date.available2017-01-30T15:00:52Z
dc.date.created2014-10-29T20:00:37Z
dc.date.issued2009
dc.identifier.citationXia, J. and Packer, D. and Dong, J. 2009. Individual Differences and Tourist Wayfinding Behaviours, in Anderssen, R.S. and Braddock, R.D. and Newham, L.T.H. (ed), Proceedings of the 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation, Jul 13-17 2009, pp. 1272-1278. Cairns, Australia: Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/42622
dc.description.abstract

The aim of the paper is to ascertain if tourist wayfinding behaviours correlate with individual differences. Individual differences in this study refer to age, gender, type of travel group and familiarity with the environment. The specific tourist wayfinding behaviours of in this paper are utilising landmarks and wayfinding strategies.. The methods used to identify the individual differences are Pearson Chi-square test and Odds ratio. Pearson Chi-square test is used to identify the significant differences and Odds ratio measures strength of association. A case study was conducted at the Koala Conservation Centre at Phillip Island Nature Park, Victoria, Australia. Differences in wayfinding behaviours between gender, age group, type of travel group and level of familiarity with the environment are identified. Females tend to follow a crowd and are more likely to use wayfinding strategies such as Least Time, First Noticed, and Different from Previous Route Taken than males. Males are more likely than females to use Vegetation Types and Track Surfaces as their wayfinding landmarks, and they prefer Most Scenic wayfinding strategies.When age is considered, the middle aged tourist group tends to find its destination based on a Shortest Path strategy while younger tourists prefer First Notice wayfinding strategies. Furthermore, tourists who are familiar with the environment are more likely than others to navigate using Shortest Path and Few Turns wayfinding strategies. Understanding individual differences among tourist wayfinding behaviours can be beneficial in developing wayfinding systems/devices that can assist tourists as they move from attraction to attraction within a tourist site. In addition, this information will be useful in park or urban design. In the future, we compare individual differences in tourist wayfinding behaviours with tourists’ physical movements as tracked by GPS. The key question is how the individual differences of tourist wayfinding behaviours influence tourists’ physical movements.

dc.publisherModelling and Simulation Society of Australia and New Zealand and International Assn for Mathematics and Computers in Simulation
dc.relation.urihttp://www.mssanz.org.au/modsim09/D3/xia_D3b.pdf
dc.subjectLog-linear models
dc.subjectExpectation–Maximisation algorithm
dc.subjectTourist
dc.subjectMovement pattern
dc.subjectMarket segmentation
dc.titleIndividual Differences and Tourist Wayfinding Behaviours
dc.typeConference Paper
dcterms.source.startPage1272
dcterms.source.endPage1278
dcterms.source.titleProceedings of 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation
dcterms.source.seriesProceedings of 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation
dcterms.source.isbn9780975840078
dcterms.source.conference18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation
dcterms.source.conference-start-dateJul 13 2009
dcterms.source.conferencelocationCairns, Australia
dcterms.source.place-
curtin.departmentDepartment of Spatial Sciences
curtin.accessStatusFulltext not available


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