External Costs of Road Traffic Accidents in Türkiye: The Willingness-to-Pay Method

Rahmi Topcu and Emine Coruh ()
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Rahmi Topcu: Graduate Education Institute, Gümüşhane University, Gümüşhane 29100, Türkiye
Emine Coruh: Department of Civil Engineering, College of Engineering and Natural Science, Gümüşhane University, Gümüşhane 29100, Türkiye

Sustainability, 2025, vol. 17, issue 21, 1-20

Abstract: Traffic accidents remain a major global burden, causing mortality, disability, and socio-economic losses that hinder sustainable development. Beyond human suffering, crashes place long-term pressures on health systems, labor markets, and national economies, disproportionately impacting low- and middle-income countries. Estimating the true societal costs of accidents is therefore essential for designing effective, equitable, and sustainable road safety policies. This study applies the Willingness-to-Pay (WTP) method to evaluate the external costs of traffic-related deaths and injuries in Türkiye between 2008 and 2018. By incorporating material and immaterial losses, the WTP framework captures a broader spectrum of impacts than traditional approaches, offering valuable insights into the scale of welfare losses and the value of risk reduction. The findings reveal that external costs rose substantially over the decade, from 1.63% to 2.72% of national Gross Domestic Product (GDP), underscoring that economic losses from road crashes are growing faster than the economy. These results highlight the need for systematic interventions that integrate road safety into national sustainability agendas, including safer infrastructure, behavioral programs, advanced vehicle technologies, and efficient emergency response systems. The evidence presented strengthens the case for prioritizing traffic safety as a fundamental component of sustainable transport and public health strategies.

Keywords: traffic accidents; external costs; willingness to pay; sustainable transportation; road safety policy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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