Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Impacts of remote work on vehicle miles traveled and transit ridership in the USA

Abstract

The potential of remote work as a sustainable mobility solution has garnered attention, particularly due to its widespread adoption during the coronavirus disease 2019 pandemic. Our study systematically examines the impacts of remote work on vehicle miles traveled and transit ridership in the USA from April 2020 to October 2022. Here we find that, using the prepandemic levels as the baselines, a mere 1% decrease in onsite workers corresponds to a 0.99% reduction in state-level vehicle miles traveled and a 2.26% drop in metropolitan statistical area-level transit ridership. Notably, a 10% decrease in onsite workers compared with the prepandemic level could yield a consequential annual reduction of 191.8 million metric tons (10%) in CO2 emissions from the transportation sector, alongside a substantial US$3.7 billion (26.7%) annual loss in transit fare revenues within the contiguous USA. These findings offer policymakers crucial insights into how different remote work policies can impact urban transport and environmental sustainability as remote work continues to persist.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Relationships between the recovery rate of onsite workers and the recovery rates of VMT and transit ridership.
Fig. 2: Effects of the recovery of onsite workers on the recovery rates of VMT and transit ridership over time.
Fig. 3: Marginal effect of remote work on the reduction of on-road CO2 emissions by state and that on the reduction of transit fare revenues by MSA.

Similar content being viewed by others

Data availability

The data used for this study are sourced from publicly available databases and detailed information about each variable’s source can be found in the ‘Data’ section of Methods. The compiled datasets can be accessed on GitHub at https://github.com/zhengyunhan/remote_work_mobility (ref. 61).

Code availability

The code used for conducting the analysis is accessible on GitHub at https://github.com/zhengyunhan/remote_work_mobility (ref. 61).

References

  1. State carbon dioxide emissions data. EIA https://www.eia.gov/environment/emissions/state/ (2020).

  2. Creutzig, F. et al. Towards demand-side solutions for mitigating climate change. Nat. Clim. Change 8, 260–263 (2018).

    Article  Google Scholar 

  3. Dubois, G. et al. It starts at home? Climate policies targeting household consumption and behavioral decisions are key to low-carbon futures. Energy Res. Soc. Sci. 52, 144–158 (2019).

    Article  Google Scholar 

  4. Axsen, J., Plötz, P. & Wolinetz, M. Crafting strong, integrated policy mixes for deep CO2 mitigation in road transport. Nature Clim. Change 10, 809–818 (2020).

    Article  Google Scholar 

  5. Bistline, JohnE. T. et al. Economy-wide evaluation of CO2 and air quality impacts of electrification in the United States. Nat. Commun. 13, 1–12 (2022).

    Article  Google Scholar 

  6. Hook, A. et al. A systematic review of the energy and climate impacts of teleworking. Environ. Res. Lett. 15, 093003 (2020).

    Article  Google Scholar 

  7. Kwan, Mei-Po Mobile communications, social networks, and urban travel: hypertext as a new metaphor for conceptualizing spatial interaction. Prof. Geogr. 59, 434–446 (2007).

    Article  Google Scholar 

  8. O’keefe, P., Caulfield, B., Brazil, W. & White, P. The impacts of telecommuting in Dublin. Res. Transp. Econ. 57, 13–20 (2016).

    Article  Google Scholar 

  9. Balepur, P. N., Varma, K. V. & Mokhtarian, P. L. Transportation impacts of center-based telecommuting: interim findings from the neighborhood telecenters project. Transportation 25, 287–306 (1998).

    Article  Google Scholar 

  10. Choo, S., Mokhtarian, P. L. & Salomon, I. Does telecommuting reduce vehicle-miles traveled? An aggregate time series analysis for the US. Transportation 32, 37–64 (2005).

    Article  Google Scholar 

  11. Niles, J. S. Beyond Telecommuting: A New Paradigm for the Effect of Telecommunications on Travel (USDOE Office of Energy Research, 1994).

  12. Asgari, H. & Jin, X. An evaluation of part-day telecommute impacts on work trip departure times. Travel Behav. Soc. 12, 84–92 (2018).

    Article  Google Scholar 

  13. Saxena, S. & Mokhtarian, P. L. The impact of telecommuting on the activity spaces of participants. Geogr. Anal. 29, 124–144 (1997).

    Article  Google Scholar 

  14. de Abreu e Silva, João & Melo, PatríciaC. Does home-based telework reduce household total travel? A path analysis using single and two worker british households. J Trans. Geogr. 73, 148–162 (2018).

    Article  Google Scholar 

  15. Lachapelle, U., Tanguay, G. A. & Neumark-Gaudet, L. éa Telecommuting and sustainable travel: reduction of overall travel time, increases in non-motorised travel and congestion relief? Urban Stud. 55, 2226–2244 (2018).

    Article  Google Scholar 

  16. Horner, N. C., Shehabi, A. & Azevedo, InêsL. Known unknowns: indirect energy effects of information and communication technology. Environ. Res. Lett. 11, 103001 (2016).

    Article  Google Scholar 

  17. Rietveld, P. Telework and the transition to lower energy use in transport: on the relevance of rebound effects. Environ. Innov. Soc. Transit. 1, 146–151 (2011).

    Article  Google Scholar 

  18. Zhu, P. Are telecommuting and personal travel complements or substitutes? Ann. Reg. Sci. 48, 619–639 (2012).

    Article  Google Scholar 

  19. Kim, Seung-Nam, Choo, S. & Mokhtarian, P. L. Home-based telecommuting and intra-household interactions in work and non-work travel: a seemingly unrelated censored regression approach. Transp. Res. Part A 80, 197–214 (2015).

    Google Scholar 

  20. Chakrabarti, S. Does telecommuting promote sustainable travel and physical activity? J. Transp. Health 9, 19–33 (2018).

    Article  Google Scholar 

  21. Erhardt, G. D. et al. Why has public transit ridership declined in the United States? Transp. Res. Part A 161, 68–87 (2022).

    Google Scholar 

  22. Mokhtarian, P. L. & Varma, K. V. The trade-off between trips and distance traveled in analyzing the emissions impacts of center-based telecommuting. Transp. Res. Part D 3, 419–428 (1998).

    Article  Google Scholar 

  23. Job flexibilities and work schedules summary. US Bureau of Labor Statistics. https://www.bls.gov/news.release/flex2.nr0.htm (2019).

  24. Workers who worked at home and how often they worked exclusively at home by selected characteristics, averages for the period 2017–2018. US Bureau of Labor Statistics https://www.bls.gov/news.release/flex2.t03.htm (2019).

  25. Burrows, M., Burd, C. & McKenzie, B. Home-based workers and the COVID-19 pandemic. US Census Bureau https://www.census.gov/content/dam/Census/library/publications/2023/acs/acs-52.pdf (2023).

  26. Lund, S. et al. The future of work after COVID-19. McKinsey Global Institute https://www.mckinsey.com/featured-insights/future-of-work/the-future-of-work-after-covid-19 (2021).

  27. Barrero, Jose Maria, Bloom, N. & Davis, S. J. 60 million fewer commuting hours per day: how Americans use time saved by working from home. Becker Friedman Institute for Economics Working Paper (University of Chicago, 2020).

  28. White house will end most covid vaccine mandates. New York Times https://www.nytimes.com/2023/05/01/us/politics/us-covid-vaccine-mandates.html (2023).

  29. Household pulse survey microdata. US Census Bureau https://www.census.gov/programs-surveys/household-pulse-survey/data.html (2023).

  30. Rioveros, G. M. et al. The impact of work from home set-up during the COVID-19 pandemic. Worldwide Journal of Multidisciplinary Research and Development http://wwjmrd.com/upload/the-impact-of-work-from-home-set-up-during-the-covid-19-pandemic_1631623804.pdf (2021).

  31. Kim, Seung-Nam Is telecommuting sustainable? An alternative approach to estimating the impact of home-based telecommuting on household travel. Int. J. Sustain. Transp. 11, 72–85 (2017).

    Article  Google Scholar 

  32. Zhu, P. & Mason, S. G. The impact of telecommuting on personal vehicle usage and environmental sustainability. Int. J. Environ. Sci. Technol. 11, 2185–2200 (2014).

    Article  Google Scholar 

  33. Iqbal, M. Uber revenue and usage statistics. Business of Apps https://www.businessofapps.com/data/uber-statistics/ (2024).

  34. Iqbal, M. Lyft revenue and usage statistics. Business of Apps https://www.businessofapps.com/data/lyft-statistics/ (2024).

  35. Berrebi, S. J. & Watkins, K. E. Who’s ditching the bus? Transp. Res. Part A 136, 21–34 (2020).

    Google Scholar 

  36. Dua, A. et al. Americans are embracing flexible work—and they want more of it. McKinsey Research https://www.mckinsey.com/industries/real-estate/our-insights/americans-are-embracing-flexible-work-and-they-want-more-of-it (2022).

  37. The return to office revolt. The New York Times https://www.nytimes.com/2022/06/17/briefing/the-return-to-office-revolt.html (2022).

  38. US Department of Transportation announces increased flexibility to help transit agencies respond to coronavirus. Federal Transit Administration https://www.transit.dot.gov/about/news/us-department-transportation-announces-increased-flexibility-help-transit-agencies (2020).

  39. US Department of Transportation announces the availability of $2.2 billion in american rescue plan funding to help transit agencies with additional service needs. Federal Transit Administration https://www.transit.dot.gov/about/news/us-department-transportation-announces-availability-22-billion-american-rescue-plan (2021).

  40. President Biden, USDOT announce more than $20 billion for communities of all sizes to support transit this year. Federal Transit Administration https://www.transit.dot.gov/about/news/president-biden-usdot-announce-more-20-billion-communities-all-sizes-support-transit (2022).

  41. The pandemic wasn’t supposed to hurt New York transit this much. The New York Times https://www.nytimes.com/2022/08/15/nyregion/mta-nyc-budget.html?smid=tw-share (2022).

  42. Without commuters, US transit agencies are running out of options. Bloomberg https://www.bloomberg.com/news/articles/2022-06-16/public-transportation-braces-for-fewer-commuters-amid-work-from-home (2022).

  43. For mass transit agencies, a fiscal cliff looms. Governing https://www.governing.com/now/for-mass-transit-agencies-a-fiscal-cliff-looms (2022).

  44. COVID-19 community mobility reports. Google LLC https://www.google.com/covid19/mobility/ (2022).

  45. Quarterly census of employment and wages. US Bureau of Labor Statistics https://www.bls.gov/cew/downloadable-data-files.htm (2021).

  46. Traffic volume trends. FWHA https://www.fhwa.dot.gov/policyinformation/travel_monitoring/tvt.cfm (2022).

  47. NTD data. Federal Transit Administration https://www.transit.dot.gov/ntd/ntd-data (2022).

  48. Teleworking and lost work during the pandemic: new evidence from the CPS. US Bureau of Labor Statistics https://www.bls.gov/opub/mlr/2021/article/teleworking-and-lost-work-during-the-pandemic-new-evidence-from-the-cps.htm#BLStable_2021_7_6_15_1_footnotes (2021).

  49. Global COVID-19 Tracker. Kaiser Family Foundation https://www.kff.org/coronavirus-covid-19/issue-brief/global-covid-19-tracker/ (2024).

  50. Change of Address Stats. The United States Postal Service https://about.usps.com/who/legal/foia/library.htm (2022).

  51. We’re sharing coronavirus case data for every US county. The New York Times https://github.com/nytimes/covid-19-data (2022).

  52. Covid-19 vaccinations in the United States. The Centers for Disease Control and Prevention https://data.cdc.gov/Vaccinations/COVID-19-Vaccinations-in-the-United-States-Jurisdi/unsk-b7fc (2022).

  53. Menegale, F. et al. Evaluation of waning of SARS-CoV-2 vaccine-induced immunity: a systematic review and meta-analysis. JAMA Network Open 6, e2310650–e2310650 (2023).

    Article  Google Scholar 

  54. State population totals and components of change: 2020–2022. US Census Bureau https://www.census.gov/data/tables/time-series/demo/popest/2020s-state-total.html (2023).

  55. Metropolitan and micropolitan statistical areas population totals: 2020–2022. US Census Bureau https://www.census.gov/data/tables/time-series/demo/popest/2020s-total-metro-and-micro-statistical-areas.html (2023).

  56. Census regions and divisions of the United States. US Census Bureau https://www2.census.gov/geo/pdfs/maps-data/maps/reference/us_regdiv.pdf (2013).

  57. Highway statistics series, table mf-21, 2020–2021a. FHWA https://www.fhwa.dot.gov/policyinformation/statistics.cfm (2022).

  58. Greenhouse gases equivalencies calculator—calculations and references. EPA https://www.epa.gov/energy/greenhouse-gases-equivalencies-calculator-calculations-and-references (2023).

  59. Highway statistics series, table vm-2, 2020–2021b. FHWA https://www.fhwa.dot.gov/policyinformation/statistics.cfm (2022).

  60. 2022 traffic monitoring guide. FWHA https://www.fhwa.dot.gov/policyinformation/tmguide/2022_TMG_Final_Report.pdf (2022).

  61. Zheng, Y. Data and code for remote work paper. GitHub https://github.com/zhengyunhan/remote_work_mobility(2024).

Download references

Acknowledgements

This work is funded by the Massachusetts Institute of Technology Energy Initiative and the Barr Foundation, and by the National Research Foundation (NRF), Prime Minister’s Office, Singapore, under its Campus for Research Excellence and Technological Enterprise (CREATE) program. The Mens, Manus, and Machina (M3S) is an interdisciplinary research group (IRG) of the Singapore MIT Alliance for Research and Technology (SMART) Centre. S.W. acknowledges the support from the Research Opportunity Seed Fund 2023 from the University of Florida. L.L. acknowledges the support from Beijing Social Science Foundation (20GLA003).

Author information

Authors and Affiliations

Authors

Contributions

Y.Z. contributed to conceptualization, methodology, data curation, modeling, visualization, formal analysis, result interpretation, writing—original draft and writing—review and editing. S.W. contributed to formal analysis, result interpretation and writing—review and editing. L.L. contributed to formal analysis and result interpretation. J.A. contributed to result interpretation, supervision, project administration and funding acquisition. J.Z. contributed to formal analysis, result interpretation, supervision, project administration and funding acquisition.

Corresponding author

Correspondence to Shenhao Wang.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Cities thanks Tao Tao, Sung Hoo Kim and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary discussion, Figs. 1–4 and Tables 1–16.

Reporting Summary

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zheng, Y., Wang, S., Liu, L. et al. Impacts of remote work on vehicle miles traveled and transit ridership in the USA. Nat Cities 1, 346–358 (2024). https://doi.org/10.1038/s44284-024-00057-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s44284-024-00057-1

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing