1 AIT Asian Institute of Technology

Analysis of accident costs by using the willingness-to-pay method among motorcycle users in Bangkok and surrounding areas

AuthorPreeda Chaturabong
Call NumberAIT Thesis no.TE-09-05
Subject(s)Traffic accidents--Cost effectiveness--Thailand--Bangkok
Motorcycling accidents--Thailand--Bangkok
Traffic accidents--Cost effectiveness--Thailand--Bangkok
Motorcycling accidents--Thailand--Bangkok

NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering Transportation Engineering, School of Engineering and Technology
PublisherAsian Institute of Technology
Series StatementThesis ; no. TE-09-05
AbstractThe economic growth in Thailand has led to an expanding network of roads and increasing number of the vehicles. The growing number of vehicles on the roads has resulted to the significant increase of road crashes in recent years. A total estimated national economic loss due to the road accidents is about 204,000 million Thai baht or 3.1 percent of the GDP in 2005. To address the road safety problem, it is essential to understand accident costs which is related to motivation and awareness. In many developing countries, the road accident cost has been traditionally evaluated by the Human Capital Method. Another alternative method for thee valuation of accident cost is the Willingness-To-Pay method (WTP). This approach has been widely used in many developed countries. WTP method or the value of risk change is used to estimate the value that individuals would pay for reducing the risk of loss of life. This approach is principally based on survey design to determine the amount of money that individuals would pay to reduce the risk of loss of life. In Thailand, the statistics shows that motorcycle crash has taken the biggest portion among all type of vehicle crashes as shown in the number of 56% from total of 1,003,890 crashed vehicles. Due to this high proportion of the motorcycle accidents, this study selects the motorcyclists as a target group. Currently, the analysis of the value of life of motorcyclists is not available in Thailand. This study is therefore to estimate the costs of motorcycle accidents in Thailand by using the WTP method. In this study, the field questionnaire survey was conducted to observe the willingness to pay of motorcyclists to reduce the fatality and injuries risk in Bangkok and 4 surrounding areas which they were collected by closed ended question and opened ended question. The observation shows that the willingness to pay is rather different in each injury type. In addition, this study will include the estimation of economic costs of motorcycle crashes by considering the differences in socio-economic characteristics, and the riding behavior. Gender, income, household income, and helmet wearing significantly affect the willingness to pay of each injury type. The results indicate that males are more likely to be willing to pay than female, and those riders who are lower income are less likely to pay than higher income. To estimate the value of life, mean willingness to pay could be calculated by simple arithmetic and using economic statistic. The results show that the values of life of motorcyclist in Thailand in this study were slight different with other researches. As well as comparing with Malaysia, values of life of motorcyclist in two countries are slightly different. This could be due to the difference in the living cost expenses other attributes of economics. Therefore, influencing of individual to pay to prevent themselves from the road accident is considerably different. This might cause the difference in the VOSL of two countries.
Year2010
Corresponding Series Added EntryAsian Institute of Technology. Thesis ; no. TE-09-05
TypeThesis
SchoolSchool of Engineering and Technology
DepartmentDepartment of Civil and Infrastucture Engineering (DCIE)
Academic Program/FoSTransportation Engineering (TE)
Chairperson(s)Kunnawee Kanitpong
Examination Committee(s)Kim, Hyunmyung;Piyapong Jiwattanakulpaisarn
Scholarship Donor(s)Royal Thai Government Fellowship
DegreeThesis (M.Eng.) - Asian Institute of Technology, 2009


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