Estimating Willingness to Pay for Casualty and Injury Reduction in Accidents Case Study: Urmia
Irtiqa Imini Pishgiri Masdumiyat (Safety Promotion and Injury Prevention),
Vol. 6 No. 3 (2018),
5 January 2019
,
Page 162 - 152
https://doi.org/10.22037/meipm.v6i3.24063
Abstract
Background and Objectives: The estimation of willingness to pay, using the stated preferences and stated choice methods, is one of the most up-to-date ones for valuing non-market products. To do so, this study, using this technique, examines the willingness to pay of Urumieh drivers to reduce mortality and injury.
Materials and Methods: The data of this research were collected using a questionnaire from 300 drivers who travel daily in the city and the results of the study are estimated using the mixed logit model. Data were collected through questionnaires and face-to-face interviews. To do this, the purpose of the interview was first explained to the drivers and the interview was conducted after their satisfaction was announced. Furthermore, the authors became committed to keeping the divers’ information in confidence.
Results: Willingness to pay for mortality and injury was estimated to be 0.58 and 0.08, and the value of death and injury was estimated at 12443636 and 23165 Tomans, respectively. According to the results, the cost of travel, time, number of deaths and injuries, number of cameras and speed limit, are effective for selecting the routes.
Conclusion: In order to reduce casualties and injuries, investments in safety improvement should be made. One solution could be assigning these tasks to private companies and to raise competition in these companies on selecting the most economical ones, so that road users, including drivers, contribute to the financing of these projects. And according to the results, it can target well-educated, wealthy, and older people.
How to cite this article: Naderi A, Fattahi SH, Azami. Estimating Willingness to Pay for Casualty and Injury Reduction in Accidents. Case Study: Urmia.Irtiqa Imini Pishgiri Masdumiyat (Safety Promotion and Injury Prevention). 2018; 6(3):152 -162.
- Willingness to pay, Value of statistical life, mixed logit, stated preferences
How to Cite
References
Yang Z, Liu P, Xu X. Estimation of social value of statistical life using willingness-to-pay method in Nanjing, China. Accident Analysis & Prevention. 2016;95:308-16. [Pubmed]
Dahdah S, McMahon K. The true cost of road crashes: valuing life and the cost of a serious injury. International Road Assessment Programme, World Bank Global Road Safety Facility. 2008.
Andersson H, Treich N. 17 The value of a statistical life. A handbook of transport economics. 2011:396.
Mishan EJ. Evaluation of life and limb: a theoretical approach. Journal of Political Economy. 1971;79(4):687-705.
Mohamed HA. Estimation of Socio-Economic Cost of Road Accidents in Saudi Arabia: Willingness-To-Pay Approach (WTP). Advances in Management and Applied Economics. 2015;5(3):43-61.
. Veisten K, Flügel S, Rizzi LI, de Dios Ortúzar J, Elvik R. Valuing casualty risk reductions from estimated baseline risk. Research in transportation economics. 2013;43(1):50-61. [Scopus]
Rizzi LI, de Dios Ortúzar J. Stated preference in the valuation of interurban road safety. Accident Analysis & Prevention. 2003;35(1):9-22.
McFadden D. Measuring willingness-to-pay for transportation improvements. Theoretical Foundations of Travel Choice Modeling. 1998;339:364.
Hanley N, Mourato S, Wright RE. Choice modelling approaches: a superior alternative for environmental valuatioin? Journal of economic surveys. 2001;15(3):435-62.
Soori H, Ainy E, Iranfar M. Road traffic status in the world and Iran: review of results from the World Health Organization. Safety Promotion and Injury Prevention. 2013; 1(2): 53-62.
Taravatmanesh S, Hashemi-Nazari SS, Ghadirzadeh MR, Taravatmanesh L. Epidemiology of fatal traffic injuries in the Sistan and Baluchistan province in 2011. Safety Promotion and Injury Prevention. 2015; 3(3): 161-8.
da Silva LdOV, de Camargo Braga MG. Violent events on the road: Risk perception of traffic-related and non traffic-related situations. Accident Analysis & Prevention. 2018;114:55-61. [Pubmed]
Niroomand N, Jenkins GP. Estimating the value of life, injury, and travel time saved using a stated preference framework. Accident Analysis & Prevention. 2016;91:216-25. [Pubmed]
Varian HR. Microeconomic analysis. 1992.
Train KE. Discrete choice methods with simulation: Cambridge university press; 2009.
Louviere JJ, Hensher DA, Swait JD. Stated choice methods: analysis and applications: Cambridge university press; 2000.
Carlsson F, Martinsson P. Design techniques for stated preference methods in health economics. Health economics. 2003;12(4):281-94. [Pubmed]
Hajizadeh E, Asghari M. Methods and statistical analysis with looking to research method in the life sciences and health. Jahad Daneshgahi Publication2012. 2011:457.
Johnson TR. Hensher DA, Rose JM, Greene WH. Applied choice analysis: A primer. Cambridge: Cambridge University Press. 2007;72(3):449-50.
Hensher DA, Greene WH. The mixed logit model: The state of practice and warnings for the unwary. Institute of Transport Studies. 2001.
Birol E, Villalba ER. Estimating Mexican farmers' valuation of Milpa diversity and genetically modified maize: A choice experiment approach. Environ Econ Policy Res Working Papers. 2006;21.
Hensher DA, Rose JM, de Dios Ortúzar J, Rizzi LI. Estimating the willingness to pay and value of risk reduction for car occupants in the road environment. Transportation research part A: policy and practice. 2009;43(7):692-707. [Pubmed]
Hensher DA, Rose JM, de Dios Ortúzar J, Rizzi LI. Estimating the value of risk reduction for pedestrians in the road environment: An exploratory analysis. Journal of Choice Modelling. 2011;4(2):70-94.
Ainy E, Soori H, Ganjali M, Baghfalaki T. Road traffic injury cost estimation by willingness to pay method. Safety Promotion and Injury Prevention. 2014;2(3):215-25.
Haddak MM, Lefèvre M, Havet N. Willingness-to-pay for road safety improvement. Transportation Research Part A: Policy and Practice. 2016;87:1-10. [Scopus]
Hojman P, de Dios Ortuzar J, Rizzi LI. On the joint valuation of averting fatal and severe injuries in highway accidents. Journal of Safety Research. 2005;36(4):377-86. [Pubmed]
De Blaeij A, Florax RJ, Rietveld P, Verhoef E. The value of statistical life in road safety: a meta-analysis. Accident Analysis & Prevention. 2003;35(6):973-86. [Pubmed]
Mon EE, Jomnonkwao S, Khampirat B, Satiennam W, Ratanavaraha V. Willingness to pay for mortality risk reduction for traffic accidents in Myanmar. Accident Analysis & Prevention. 2018;118:18-28. [Pubmed]
Lavasani M, Hossan MS, Asgari H, Jin X. Examining methodological issues on combined RP and SP data. Transportation research procedia. 2017;25:2330-43. [Scopus]
Kolarova V, Steck F, Cyganski R, Trommer S. Estimation of the value of time for automated driving using revealed and stated preference methods. Transportation research procedia. 2018;31:35-46.
Niroomand N, Jenkins GP. Estimating the value of life and injury for pedestrians using a stated preference framework. Journal of safety research. 2017;62:81-7. [Pubmed]
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