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https://bura.brunel.ac.uk/handle/2438/33906| Title: | Inequities in the impacts of compound precipitation extremes on global transportation infrastructures in the late 21st century |
| Authors: | Wang, Feng Guo, Junhong Fan, Yurui Huang, Guohe Li, YongPing Shen, Zhenyao Zhou, Ya Wen, Yizhuo AghaKouchak, Amir |
| Issue Date: | 11-Jun-2026 |
| Publisher: | Springer Nature |
| Citation: | Wang, F. et al. 'Inequities in the impacts of compound precipitation extremes on global transportation infrastructures in the late 21st century', npj Natural Hazards, 0(in press, proof), pp. 1–43. doi: 10.1038/s44304-026-00225-4. |
| Abstract: | The impact of compound climate extremes on transportation infrastructure is destructive and long-lasting, yet it remains unclear whether these impacts are equitably distributed across countries with different income levels. This study assesses global inequalities in exposure to compound precipitation extremes (CPEs), defined as the concurrent occurrence of short-duration, high-intensity 1-day precipitation (RX1D) and prolonged 5-day precipitation (RX5D), in the late 21st century under multiple climate scenarios. Under SSP585, approximately two-thirds of global transportation infrastructure is projected to experience increased exposure, affecting about 12.6 million km, with at least a 25% reduction in joint return periods, indicating more frequent extremes. Most exposed assets are concentrated in the Global North (10.9 vs. 1.3 million km in the Global South), with the largest absolute exposure in high-income regions (4.9 vs. 0.6 million km in lower-income regions). In contrast, adaptation needs show a clear inverse income gradient. Low-income countries require the highest safety factors (mean 1.31 for 50-year events), followed by lower-middle (1.20), upper-middle (1.17), and high-income (1.15) countries. This pattern remains robust across scenarios and infrastructure types (except motorways), revealing systematic inequality and underscoring the need for income-sensitive adaptation strategies in future infrastructure planning. |
| Description: | Data availability:
Daily precipitation was obtained from the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6) [...]. Transportation infrastructure data were obtained from Open Street Map (OSM). The delineation of national and subnational boundaries follows the standard World Bank global administrative map. All data used in this study will be available on Figshare upon acceptance of the manuscript. Code availability: All the code used in this study will be available on Figshare upon acceptance of the manuscript Springer Nature is sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply. Supplementary information is available online at: https://www.nature.com/articles/s44304-026-00225-4#Sec15 . |
| URI: | https://bura.brunel.ac.uk/handle/2438/33906 |
| DOI: | https://doi.org/10.1038/s44304-026-00225-4 |
| Appears in Collections: | Department of Civil and Environmental Engineering Research Papers |
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