Environment and Planning A
Volume 51, Issue 2, 2019, Pages 275-278

3D space–time visualization of individual settlement pathways of Mainland China-born migrants in Queensland, Australia (Article) (Open Access)

Wang S.* , Liu Y. , Sigler T. , Corcoran J.
  • a School of Earth and Environmental Sciences, The University of QueenslandQLD, Australia
  • b School of Earth and Environmental Sciences, The University of QueenslandQLD, Australia
  • c School of Earth and Environmental Sciences, The University of QueenslandQLD, Australia
  • d School of Earth and Environmental Sciences, The University of QueenslandQLD, Australia

Abstract

The number of migrants from Mainland China (MC) to Australia have been sharply increasing since 2000 and MC became the largest non-Commonwealth source country in 2011. The integration process of migrants to the host society involves the exposure and movement of migrants to the majority, which is reflected by the settlement pathways of migrants moving from ethnic to non-ethnic communities over time. Most of the existing research regarding migrants’ pathways is constrained by the limitations of cross-sectional data, which are usually available at the community or above levels. Little is known about the individual-level settlement pathways of migrants due to lack of data availability. In order to address this deficit, a 3D visualization is used to express the individual pathways of MC-born migrants based on primary survey data. This enables a more detailed, spatio-temporal picture of how long migrants live at each address and how they move across neighbourhoods. © The Author(s) 2018.

Author Keywords

Australia individual-level mobility Mainland China-born migrants settlement pathways 3D space–time visualization

Index Keywords

Queensland spatiotemporal analysis migrants experience visualization three-dimensional modeling Australia settlement pattern migration
Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059937542&doi=10.1177%2f0308518X18805752&partnerID=40&md5=6c752c9d21eb7d31b856df73247e54b8
DOI: 10.1177/0308518X18805752
ISSN: 0308518X
Original Language: English