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Modelling Multilevel Variations in Distance Moved between Origins and Destinations in England and Wales

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  • Michael Thomas

    (Population Research Centre, Faculty of Spatial Sciences, University of Groningen, 9700 AV Groningen, The Netherlands)

  • John Stillwell
  • Myles Gould

Abstract

Using individual records from a large and geographically detailed national research opinion survey, this paper uniquely adopts a multilevel cross-classified statistical framework to demonstrate the relative importance of individual and simultaneous origin/destination contextual (neighbourhood and city region) variations in the distance moved by residential migrants in England and Wales. The model results confirm distinct microlevel variations in the distance moved according to certain key variables such as household income, educational attainment, and housing tenure whilst simultaneously revealing the importance of substantial origin and destination place-based macrogeographic variations. More specifically, the results indicate the extent to which those out-migrants from the main metropolitan cores, together with those in-migrants to the rural/coastal (amenity-rich) destinations, move over considerably longer distances than the average distance of move.

Suggested Citation

  • Michael Thomas & John Stillwell & Myles Gould, 2015. "Modelling Multilevel Variations in Distance Moved between Origins and Destinations in England and Wales," Environment and Planning A, , vol. 47(4), pages 996-1014, April.
  • Handle: RePEc:sae:envira:v:47:y:2015:i:4:p:996-1014
    DOI: 10.1068/a130327p
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    References listed on IDEAS

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    Cited by:

    1. Qingsheng Yang & Hongxian Zhang & Kevin M Mwenda, 2019. "County-Scale Destination Migration Attractivity Measurement and Determinants Analysis: A Case Study of Guangdong Province, China," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    2. Michael J. Thomas & Clara H. Mulder & Thomas J. Cooke, 2018. "Geographical Distances Between Separated Parents: A Longitudinal Analysis," European Journal of Population, Springer;European Association for Population Studies, vol. 34(4), pages 463-489, October.

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