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100			_aWang,Siqin _944116
245			_a3D space–time visualization of individual settlement pathways of Mainland China-born migrants in Queensland, Australia
260			_bSage, _c2019.
300			_aVol 51, Issue 2, 2019,(275-278 p.)
520			_aThe 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.
650			_a3D space–time visualization, _944117
650			_a settlement pathways, _942179
650			_aMainland China-born migrants, _944118
650			_a individual-level mobility, _944119
650			_a Australia _944120
700			_aLiu, Yan _944121
773	0		_011325 _915507 _dSage, 2019. _tEnvironmental and planning A: Economy and space
856			_uhttps://doi.org/10.1177/0308518X18805752
942			_2ddc _cART