Multivariate higher order information for emergency management based on tourism trajectory datasets

Conference Publication ResearchOnline@JCU
Wang, Ye;Lee, Kyungmi;Lee, Ickjai
Abstract

Higher order information of trajectory dataset for "what-if" analysis is getting more popular for providing better informed decision making. However, existing research had been studied trajectory higher order information based on univariate dataset only. There is yet no research to study higher order information of multivariate dataset for trajectory analysis. This paper will introduce a unified data structure which supports multivariate datasets for trajectory analysis and approaches to analyse information based on multivariate higher order information for making decisions related to emergency management. Interactive visualisation tools are implemented to facilitate the analysis. Tourism trajectory dataset is used to demonstrate the proposed approach.

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Publication Name

IEA/AIE 2016: 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

Volume

9799

ISBN/ISSN

978-3-319-42007-3

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Pages Count

12

Location

Morioka, Japan

Publisher

Springer

Publisher Url

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Publisher Location

Berlin, Germany

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Date

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EISSN

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DOI

10.1007/978-3-319-42007-3_62