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Homayoun Sadeghi-bazargani1 
, Mina Golestani *2 , Mirbahador Yazdani3 , Khalil Pourebrahim4 , Zhila Yousefi5
, Mina Golestani *2 , Mirbahador Yazdani3 , Khalil Pourebrahim4 , Zhila Yousefi5
1- Road Traffic Injury Research Centre, Tabriz University of Medical Sciences, Tabriz, Iran.
2- Medical Philosophy and History Research Center, Medical Philosophy and History Research Center, Tabriz University of Medical Sciences, Iran. ,mgolestani8958@gmail.com
3- Faculty of Engineering, University of Bonab, Bonab, Iran.
4- Payame Noor University (PNU), Tehran, Iran.
5- Health in Emergency and Disaster research Center, Social Health Research Institute, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
2- Medical Philosophy and History Research Center, Medical Philosophy and History Research Center, Tabriz University of Medical Sciences, Iran. ,
3- Faculty of Engineering, University of Bonab, Bonab, Iran.
4- Payame Noor University (PNU), Tehran, Iran.
5- Health in Emergency and Disaster research Center, Social Health Research Institute, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Abstract: (18 Views)
Background: Road traffic accidents are among the major public health challenges and a major political priority worldwide. In Iran, this issue has attracted considerable attention, and the country is among the top five countries with the most unsafe roads. This study evaluates the Benefit-Cost (B/C) ratio of urban road safety projects in Tabriz, Iran, during 2018–2020.
Materials and Methods: This study was an interventional study. A cost-benefit analysis was conducted on 9 accident-prone areas selected from 100 accident-prone areas in Tabriz city (through traffic data and expert opinions). The sampling method was purposeful. These safety interventions were implemented in Tabriz in 2019. The relevant data were collected through a three-part checklist (injuries, deaths, and social costs). Data analysis was performed using descriptive statistics (mean, standard deviation, percentage, and frequency) and inferential statistics in SPSS version 22.
Results: The results showed that fatal accident costs comprised 74.25% of total costs, mainly due to productivity losses and vehicle damages. While, benefits were estimated based on reductions in accidents and associated societal costs, discounted at 10%, with a social valuation coefficient of 20%. Costs included both implementation and operational expenses. The average B/C ratio was 50.54, ranging from 241.53 for Chaykenar to 0.13 for Abbasi intersection; most projects had ratios well above one.
Conclusion: The findings underscore the high cost-effectiveness of safety investments, supporting ongoing funding, though improvements in data quality and inclusion of intangible costs are recommended for future studies.
Materials and Methods: This study was an interventional study. A cost-benefit analysis was conducted on 9 accident-prone areas selected from 100 accident-prone areas in Tabriz city (through traffic data and expert opinions). The sampling method was purposeful. These safety interventions were implemented in Tabriz in 2019. The relevant data were collected through a three-part checklist (injuries, deaths, and social costs). Data analysis was performed using descriptive statistics (mean, standard deviation, percentage, and frequency) and inferential statistics in SPSS version 22.
Results: The results showed that fatal accident costs comprised 74.25% of total costs, mainly due to productivity losses and vehicle damages. While, benefits were estimated based on reductions in accidents and associated societal costs, discounted at 10%, with a social valuation coefficient of 20%. Costs included both implementation and operational expenses. The average B/C ratio was 50.54, ranging from 241.53 for Chaykenar to 0.13 for Abbasi intersection; most projects had ratios well above one.
Conclusion: The findings underscore the high cost-effectiveness of safety investments, supporting ongoing funding, though improvements in data quality and inclusion of intangible costs are recommended for future studies.
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This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-By-NC), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
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