The widespread availability of digital traces capturing individuals’ daily mobility has the potential to enrich the understanding of the relationship between mobility, gender and socioeconomic factors. In fact, it has led to a heightened interest in deriving policy insights from these data. However, it is also essential to put the focus on methodological aspects to address the data gaps and biases.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$32.99 /Â 30Â days
cancel any time
Subscribe to this journal
Receive 12 digital issues and online access to articles
$119.00 per year
only $9.92 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout
References
Kaufmann, V., Bergman, M. M. & Joye, D. Int. J. Urban Reg. Res. 28, 745–756 (2004).
Barbosa, H. et al. Phys. Rep. 734, 1–74 (2018).
Loukaitou-Sideris, A. Town Plan. Rev. 87, 547–565 (2016).
Evans, J., O’Brien, J. & Ch Ng, B. Trans. Inst. Br. Geogr. 43, 674–688 (2018).
Gauvin, L. et al. Humanit. Soc. Sci. Commun. 7, 1–13 (2020).
Coston, A. et al. Leveraging administrative data for bias audits: Assessing disparate coverage with mobility data for COVID-19 policy. In Proc. 2021 ACM Conference on Fairness, Accountability, and Transparency 173–184 (ACM, 2021).
Blumenstock, J. & Eagle, N. Mobile divides: gender, socioeconomic status, and mobile phone use in Rwanda. In Proc. 4th ACM/IEEE International Conference on Information and Communication Technologies and Development 1–10 (Association for Computing Machinery, 2010).
Wesolowski, A., Eagle, N., Noor, A. M., Snow, R. W. & Buckee, C. O. J. R. Soc. Interface 10, 20120986 (2013).
Wang, W., Rothschild, D., Goel, S. & Gelman, A. Int. J. Forecast. 31, 980–991 (2015).
Pak, C., Cotter, K. & Thorson, K. Commun. Methods Meas. 16, 134–155 (2022).
Madden, M., Gilman, M., Levy, K. & Marwick, A. Wash. Univ. Law Rev. 95, 53–126 (2017).
Adeyeye, O., Fabusoro, E., Sodiya, C. I. & Fapojuwo, O. E. Gender differences in time-poverty among rural households in Southwest Nigeria. JARTS https://doi.org/10.17170/kobra-202107134323 (2021).
Porter, G., Abane, A. & Lucas, K. User Diversity and Mobility Practices in Sub-Saharan African Cities: Understanding the Needs of Vulnerable Populations. The State of Knowledge and Research (Volvo Research and Educational Foundations, 2020).
Hidayati, I., Tan, W. & Yamu, C. J. Plan. Lit. 36, 492–507 (2021).
Currie, G. J. Transp. Geogr. 18, 31–41 (2010).
Hanson, S. Gend. Place Cult. 17, 5–23 (2010).
Acknowledgements
L.G. acknowledges financial support from the Lagrange Project of the Institute for Scientific Interchange Foundation (ISI Foundation), funded by Fondazione Cassa di Risparmio di Torino (Fondazione CRT).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The author declares no competing interests.
Rights and permissions
About this article
Cite this article
Gauvin, L. Gaps in gender and socioeconomic mobility disparity studies. Nat Comput Sci 4, 633–635 (2024). https://doi.org/10.1038/s43588-024-00667-8
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s43588-024-00667-8