Cost Estimation of Road Traffic Injuries Among Iranian Motorcyclists Using the Willingness to Pay Method
DOI: 10.5812/atr.23198
archive: archived pipeline: cataloged verified
Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)
Summary
This study addresses the under-reported burden of road traffic injuries among motorcyclists in low- and middle-income countries, specifically focusing on Iran. Motorcyclists constitute a highly vulnerable group, accounting for 23% of road traffic accident victims in Iran. The research aimed to calculate the economic cost of these injuries using the willingness to pay (WTP) method, which offers a more accurate reflection of social welfare and individual risk preferences compared to traditional human capital approaches. The researchers conducted a cross-sectional study involving 143 randomly selected male motorcyclists in Tehran, aged 18–65 with at least a high school education. Data were collected using a questionnaire designed around three standard WTP models: revealed preference, stated preference, and contingent value. The instrument assessed perceived risks, demographic factors, and behavioral variables such as helmet use and trip distance. Statistical analysis employed the Weibull model to estimate WTP, handling zero-value responses through specific imputation techniques. The study utilized 2013 national data on fatalities and injuries to extrapolate aggregate costs. The mean WTP among participants was 888,110 Iranian Rials (IRR). Based on 4,694 recorded deaths, the statistical value of life was estimated at approximately 3.15 trillion IRR (USD 104.9 million). The cost associated with 73,325 injury cases was calculated at 6.90 trillion IRR (USD 230.1 million), resulting in a total economic burden of 10.05 trillion IRR (USD 335 million) for motorcyclists in 2013. Regression analysis revealed that WTP was significantly influenced by prior accident experience, daily trip length, and helmet usage. Specifically, individuals who had experienced accidents, traveled shorter distances, or used helmets demonstrated higher willingness to pay for risk reduction. The findings indicate that the cost of traffic injuries among Iranian motorcyclists is substantially higher than global averages, highlighting a critical need for targeted safety interventions. The authors conclude that effective initiatives, such as enforcing helmet laws and implementing government subsidies for high-quality helmets, are essential. The study also suggests that policy measures should consider limiting daily trip distances for high-risk users and addressing the specific needs of low-income road users to enhance social equality in injury prevention. This research provides a novel application of combined WTP methods and Weibull modeling for estimating traffic injury costs in a middle-income context.
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-25 |
| archive | success | canonical_url | — | — | 1 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-26 |
| chunk | success | chunk | — | — | 1 | 2026-06-26 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-26 |
| enrich | success | openalex | — | — | 1 | 2026-06-26 |
| promote | success | — | — | — | 1 | 2026-06-25 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-26 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: crash risk outcomes