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Regional Studies, Regional Science Volume 10, 2023 - Issue 1
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Decoding the work-from-home phenomenon: insights from location-based service data

Ka Shing Cheunga Department of Property, The University of Auckland, Auckland, New ZealandCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-7377-3184View further author information
ORCID Icon,
I.-Ting Chuangb School of Architecture and Planning, The University of Auckland, Auckland, New ZealandORCID Iconhttps://orcid.org/0000-0002-3559-8984View further author information
ORCID Icon &
Chung Yim Yiua Department of Property, The University of Auckland, Auckland, New ZealandORCID Iconhttps://orcid.org/0000-0003-2446-8276View further author information
ORCID Icon
Pages 873-875 | Received 06 Sep 2023, Accepted 27 Oct 2023, Published online: 22 Nov 2023

REFERENCES

  • Chen, Q., & Poorthuis, A. (2021). Identifying home locations in human mobility data: An open-source R package for comparison and reproducibility. International Journal of Geographical Information Science, 35(7), 1425–1448. https://doi.org/10.1080/13658816.2021.1887489
  • Credit, K., & Arnao, Z. (2023). A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data. Environment and Planning B: Urban Analytics and City Science, 50(3), 709–722. https://doi.org/10.1177/23998083221129614
  • Yiu, C. Y. E., Cheung, K. S., & Wong, D. (2023). Does work from home reshape the urban rental structure? Early evidence from a rental gradient analysis in auckland. International Journal of Housing Markets and Analysis, 16(3), 535–551. https://doi.org/10.1108/IJHMA-08-2022-0108

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