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.

  • Brief Communication
  • Published:

Heat stress and productivity losses in urban construction workforces

Abstract

Rapid urbanization has intensified the demand for new buildings, exposing outdoor construction workers to heightened physical strain and reduced productivity, particularly in hot-humid urban environments. Here we quantify heat stress and associated productivity losses among 101 workers across 10 construction sites in Taipei and New Taipei City. We find that in labor-intensive sectors like construction, heat stress imposes a substantial economic burden, with productivity losses ranging from 29.0% to 41.3%, depending on the task type.

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

Access options

Buy this article

USD 39.95

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

Fig. 1: Descriptive graphs of hot-humid conditions summarized by temperature, relative humidity and heat index for construction workers in Taiwan (N = 101).

Similar content being viewed by others

Data availability

The full raw data of workers used in this study cannot be made publicly available to protect privacy of individuals and the participating private industry partners, in accordance with the study protocol approved by the Ethics Review Board of Academia Sinica, Taiwan. Access to the dataset is subject to controlled access due to these legal restrictions. Qualified researchers can request access to the data by contacting the corresponding author or the Research Center for Environmental Changes at Academia Sinica (email: sclung@rcec.sinica.edu.tw). Requests will be reviewed on a case-by-case basis to ensure compliance with guidelines from participating private industry and data protection standards. Responses to access requests can be expected within 4 to 6 weeks.

References

  1. Lin, R.-T. & Chan, C.-C. Effects of heat on workers’ health and productivity in Taiwan. Glob. Health Action 2, 2047 (2009).

  2. Chen, T.-L., Lin, H. & Chiu, Y.-H. Heat vulnerability and extreme heat risk at the metropolitan scale: a case study of Taipei metropolitan area. Urban Clim. 41, 101054 (2022).

    Article  Google Scholar 

  3. Li, D., Yuan, J. & Kopp, R. E. Escalating global exposure to compound heat-humidity extremes with warming. Environ. Res. Lett. 15, 064003 (2020).

  4. Chan, T.-C., Lee, P.-H., Lee, Y.-T. & Tang, J.-H. Exploring the spatial association between the distribution of temperature and urban morphology with green view index. PLoS ONE 19, e0301921 (2024).

    Article  Google Scholar 

  5. Bai, Y., Juang, J.-Y. & Kondoh, A. in Groundwater and Subsurface Environments (ed. Taniguchi, M.) 231–246 (Springer, 2011).

  6. Fatima, S. H., Rothmore, P., Giles, L. C., Varghese, B. M. & Bi, P. Extreme heat and occupational injuries in different climate zones: a systematic review and meta-analysis of epidemiological evidence. Environ. Int. 148, 106384 (2021).

    Article  Google Scholar 

  7. Yeganeh, A. J., Reichard, G., McCoy, A. P., Bulbul, T. & Jazizadeh, F. Correlation of ambient air temperature and cognitive performance: a systematic review and meta-analysis. Build. Environ. 143, 701–716 (2018).

    Article  Google Scholar 

  8. Acharya, P., Boggess, B. & Zhang, K. Assessing heat stress and health among construction workers in a changing climate: a review. Int. J. Environ. Res. Public Health 15, 247 (2018).

    Article  Google Scholar 

  9. Foster, J. et al. An advanced empirical model for quantifying the impact of heat and climate change on human physical work capacity. Int. J. Biometeorol. 65, 1215–1229 (2021).

    Article  Google Scholar 

  10. Ioannou, L. G. et al. The impact of workplace heat and cold on work time loss. J. Occup. Environ. Med. 67, e351–e358 (2025).

  11. Romanello, M. et al. The 2024 report of the Lancet Countdown on health and climate change: facing record-breaking threats from delayed action. Lancet 404, 1847–1896 (2024).

    Article  Google Scholar 

  12. Sugg, M. M., Fuhrmann, C. M. & Runkle, J. D. in Geospatial Technologies for Urban Health (eds Lu, Y. & Delmelle, E.) 13–30 (Springer, 2020).

  13. Sugg, M. M. et al. Individually experienced heat index in a coastal Southeastern US city among an occupationally exposed population. Int. J. Biometeorol. 66, 1665–1681 (2022).

    Article  Google Scholar 

  14. Venugopal, V., Shanmugam, R. & Perumal Kamalakkannan, L. Heat-health vulnerabilities in the climate change context—comparing risk profiles between indoor and outdoor workers in developing country settings. Environ. Res. Lett. 16, 085008 (2021).

    Article  Google Scholar 

  15. Levi, M., Kjellstrom, T. & Baldasseroni, A. Impact of climate change on occupational health and productivity: a systematic literature review focusing on workplace heat. Med. Lav. 109, 163–179 (2018).

    Google Scholar 

  16. Working on a Warmer Planet: The Impact of Heat Stress on Labour Productivity and Decent Work (International Labour Organization, 2019).

  17. Kjellstrom, T., Lemke, B. & Otto, M. Climate conditions, workplace heat and occupational health in South-East Asia in the context of climate change. WHO South East Asia J. Public Health 6, 15–21 (2017).

    Article  Google Scholar 

  18. Dutta, P. et al. Perceived heat stress and health effects on construction workers. Indian J. Occup. Environ. Med. 19, 151–158 (2015).

    Article  Google Scholar 

  19. Alahmad, B. et al. Roadmap to effective and attainable workplace heat standards in the USA and beyond. Occup. Environ. Med. 81, 543–544 (2024).

    Article  Google Scholar 

  20. Hansson, E. et al. Impact of heat and a rest-shade-hydration intervention program on productivity of piece-paid industrial agricultural workers at risk of chronic kidney disease of nontraditional origin. Ann. Work Expo. Health 68, 366–375 (2024).

    Article  Google Scholar 

  21. Chen, C. Y. & Lung, S. C. C. Pilot study of heat-stress exposure sensing and heat-warning system for workers in outdoor high-temperature workplace. In ILOSH Report Ch. 4 (Institute of Labor, Occupational Safety and Health, Ministry of Labor, 2017); https://results.ilosh.gov.tw/iLosh/wSite/ct?xItem=35582&ctNode=322&mp=3

  22. IS GLOBAL. Heat index calculator. Barcelona Institute for Global Health https://www.isglobal.org/en/heat-index-calculator (2025).

  23. Liljegren, J. C., Carhart, R. A., Lawday, P., Tschopp, S. & Sharp, R. Modeling the wet bulb globe temperature using standard meteorological measurements. J. Occup. Environ. Hyg. 5, 645–655 (2008).

    Article  Google Scholar 

  24. Rowell, L. B. Human cardiovascular adjustments to exercise and thermal stress. Physiol. Rev. 54, 75–159 (1974).

    Article  Google Scholar 

Download references

Acknowledgements

We would like to acknowledge financial support from the Institute of Labor, Occupational Safety and Health, Ministry of Labor, Executive Yuan, Taiwan, under project nos. 1050004 and 1060047. We would like to thank the development team of AS-LUNG and the subjects who participated in the paper. This investigation was made possible by grant no. T42 OH008416 from the National Institute for Occupational Safety and Health (NIOSH) through Harvard–NIOSH Education and Research Center (ERC) grant awarded to B.A. The content of the paper is solely the responsibility of the authors and does not represent the official views of funding agencies.

Author information

Authors and Affiliations

Authors

Contributions

This study was conceived by B.A. and S.-C.C.L. Field work was conducted by C.-H.C., S.-C.H., L.J.C., H.H.C. and C.Y.C. Data were analyzed by B.A. and Y.A. The paper was drafted by B.A., A.M. and S.-C.C.L. All authors contributed to the discussion and finalization of the paper.

Corresponding authors

Correspondence to Barrak Alahmad or Shih-Chun Candice Lung.

Ethics declarations

Competing interests

The authors declare no competing interests

Peer review

Peer review information

Nature Cities thanks Steffen Lohrey, Jianjun Xiang 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.

Extended data

Extended Data Fig. 1 Minute-by-minute measurements of heat index for construction workers in Taiwan stratified by the job workload: Light (N = 44), Medium (N = 18), and Heavy (N = 39).

The heat index was classified according to the National Weather Service as: ‘Caution’ (27–32 °C), where fatigue may occur with prolonged exposure; ‘Extreme Caution’ (33–40 °C), where heat cramps, exhaustion, or heat stroke become possible; ‘Danger’ (41–51 °C), where heat exhaustion is likely and heat stroke is possible; and ‘Extreme Danger’ ( ≥ 52 °C), where heat stroke is highly likely. We used the Barcelona Institute for Global Health color-coding system to visually represent these classifications: green (safe), yellow (caution), orange (extreme caution), red (danger), purple (extreme danger), and black (beyond human threshold). Conditions of construction workers were pooled across all shifts.

Extended Data Fig. 2 Descriptive graphs of hot-humid conditions summarized by wet bulb globe temperature (WBGT) for construction workers in Taiwan (N = 101).

The graphs show a) hourly overall averages in boxplots, b) an hourly summary of measures for each individual, in grey, and the overall average, in solid line, and c) a minute-by-minute scatter plot for all workers, and stratified by workload: d) light (N = 44), e) medium (N = 18) and f) heavy (N = 39). Dashed horizontal red line at 35 °C is the theorized upper limit of human adaptability from Shewood and Huber (2010). Temperature and relative humidity were measured from personalized bags carried by each worker. Solar radiation and wind speed were measured from a fixed monitoring station typically situated on the same floor and in an unshaded place. Liljegren et al (2008) equations were used to compute WBGT from temperature, relative humidity, wind speed, and solar radiation. Boxplots display the median (horizontal line), interquartile range (IQR; box bounds represent the 25th and 75th percentiles), and whiskers (minimum and maximum values within 1.5 × IQR from the quartiles). Outliers in boxplots are plotted as individual points and defined as values falling more than 1.5 × IQR below the first quartile or above the third quartile.

Supplementary information

Supplementary Information

Supplementary Tables 1–5 and methods (site description and subjects).

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

Alahmad, B., Lung, SC.C., Makar, A. et al. Heat stress and productivity losses in urban construction workforces. Nat Cities 2, 703–707 (2025). https://doi.org/10.1038/s44284-025-00283-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s44284-025-00283-1

This article is cited by

Search

Quick links

Nature Briefing Anthropocene

Sign up for the Nature Briefing: Anthropocene newsletter — what matters in anthropocene research, free to your inbox weekly.

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