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Cost-Effectiveness Assessment for the Roads Upgrading to Adapt to Climate Change and Reduce the Risk of Traffic Accidents in Russia

Author

Listed:
  • B. N. Porfiriev

    (Institute of Economic Forecasting)

  • N. D. Skubachevskaya

    (Institute of Economic Forecasting)

  • S. R. Milyakin

    (Institute of Economic Forecasting)

Abstract

— The consequences of climate change for infrastructure are analyzed on the example of paved roads. Scenarios for their adaptation are considered, which differ in the scale of application of adaptation technologies and management measures that help reduce the vulnerability of the roadway to the negative impacts of primarily the transition of the surface temperature through 0°C. The methodology for calculating the costs for the implementation of road network adaptation measures is substantiated. It is proved that their cost does not lead to a significant burden on the federal (consolidated) budget and the Russian economy. At the same time, for some regions of the country, such a burden can be significant, which means there is a need for federal support. A methodology is substantiated for assessing the socio-economic efficiency of the use of adaptation technologies, which helps to reduce the number and severity of traffic accidents, the number and volume of repair work, the time spent by road users, and the reduction of harmful emissions into the environment. It is shown that this effect is 3.1 rubles per 1 rub. costs of adaptation measures.

Suggested Citation

  • B. N. Porfiriev & N. D. Skubachevskaya & S. R. Milyakin, 2023. "Cost-Effectiveness Assessment for the Roads Upgrading to Adapt to Climate Change and Reduce the Risk of Traffic Accidents in Russia," Studies on Russian Economic Development, Springer, vol. 34(6), pages 794-804, December.
    • Handle: RePEc:spr:sorede:v:34:y:2023:i:6:d:10.1134_s1075700723060114
    DOI: 10.1134/S1075700723060114
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    References listed on IDEAS

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    1. Garnaut,Ross, 2008. "The Garnaut Climate Change Review," Cambridge Books, Cambridge University Press, number 9780521744447, June.
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