scholarly journals Study on Motorcycle Crash Cost in Bandung City

2021 ◽  
Vol 28 (1) ◽  
pp. 17-22
Author(s):  
Safety Husna Pangestika ◽  
Aine Kusumawati ◽  
Ade Sjafruddin
Keyword(s):  
Human Capital ◽  
Willingness To Pay ◽  
Unit Cost ◽  
Human Capital Approach ◽  
Value Of Statistical Life ◽  
Statistical Life ◽  
Fatal Crash ◽  
Local Roads ◽  
Human Cost ◽  
Serious Injury

Crash cost is an important component for conducting economic analysis in selecting countermeasures for crash locations. It is used to convert the benefit of crash or fatality reduction into monetary terms. Many research on crash cost have been carried out in Indonesia. Most of the research utilized gross output/human capital approach. However, this approach has been widely criticized for not being able to describe the quality of life of crash casualties and the costs of pain, grief and suffering (i.e. human cost). The concept of Value of Statistical Life  (VoSL) has been introduced by InDeV (2016) to calculate the human cost, which is assessed by using willingness to pay approach. To obtain a more reliable estimation of crash cost for Indonesia, it is necessary to conduct a study on crash cost involving motorcycles which incorporates the estimation of human cost. The VoSL is obtained by interviewing motorcycle users for willingness to pay with safety equipment. Based on the analysis, it is obtained that the value of statistical life (VoSL) for fatality in a road crash was estimated to be Rp.2.3 billion. The unit cost of fatal injury is Rp.3.08 billion, serious injury is Rp.333 million and slight injury is Rp.24.9 million. The unit cost of fatal crash on arterial roads is Rp.3.23 billion, serious crash is Rp.451 million and the slight crash is Rp.114 million. The unit cost of fatal crash on collector roads is Rp.3.16 billion, serious crashes is Rp.381 million and minor crash is Rp.69.4 million. The unit cost of fatal crash on local roads is Rp.3.09 billion, serious crash is Rp.338 million, and minor crash is Rp.29.8 million. Keywords: Motorcycle crash cost, gross output approach, human capital approach, willingness to pay approach

scholarly journals Building a Set of Internationally Comparable Value of Statistical Life Studies: Estimates of Chinese Willingness to Pay to Reduce Mortality Risk

2017 ◽  
Vol 8 (2) ◽  
pp. 251-289 ◽  
Author(s):  
Sandra Hoffmann ◽  
Alan Krupnick ◽  
Ping Qin
Keyword(s):  
United States ◽  
Willingness To Pay ◽  
Mortality Risk ◽  
Stated Preference ◽  
The United States ◽  
Value Of Statistical Life ◽  
Middle Income ◽  
Payment Card ◽  
Statistical Life ◽  
Chinese Study

This study is the eighth in a series of stated-preference studies designed to enhance the basis for international benefits transfer of value of statistical life (VSL) estimates. The series has fielded essentially similar stated-preference surveys in Canada, China, France, Italy, Japan, Mongolia, the United Kingdom, and the United States. This Chinese study estimates the willingness to pay for contemporaneous and future mortality risk reductions of residents of Shanghai, Jiujiang, and Nanning, China using a stated-preference payment-card survey. The pooled VSL for a contemporaneous reduction in annual mortality risk reduction of 5 in 10,000 is about 1.47 million 2009 yuan ($614,805 U.S. $2016), with income elasticities of 0.2 to 0.25. This VSL estimate is at the lower end of estimates from the eight countries, between those from Mongolia and Japan, and in the mid-range of estimates of willingness to pay (WTP) for mortality risk reductions as a percentage of household income. We find lower discount rates in the Mongolia, Japan, and China studies than in those fielded in North America or Europe. The study also explores the relative performance of dichotomous choice and stated-preference card elicitation methods in a middle income country setting and develops a computerized “payment card” that allows testing for anchoring. Implicit transfer elasticities across countries, calculated using the VSLs we estimate and each country’s income, relative to those of the United States, yields estimates of 0.88–0.95 for the lower income countries. These compare with the default assumption of 1.0 or assumed elasticities of 1.2 for developing countries.

scholarly journals Economic Value of Life in Iran: The Human Capital Approach

2021 ◽  
Author(s):  
Mehdi BASAKHA ◽  
Neda SOLEIMANVANDIAZAR ◽  
Fateh TAVANGAR ◽  
Shabnam DANESHI
Keyword(s):  
Human Capital ◽  
Economic Value ◽  
Age Groups ◽  
Cost Benefit ◽  
Value Of Life ◽  
Human Capital Approach ◽  
Age Group ◽  
Statistical Life ◽  
The Cost ◽  
Economic Value Of Life

Background: The human life value is among the most important challenges of the health economic evaluation. This limitation has reduced the feasibility of applying the cost-benefit method in evaluations of health interventions and policies. Using the human capital approach and discounted value of future earnings, the present study calculated the human capital of different age groups. Methods: The required data were obtained using “income and expenditures of Iranian households” data in 2015 from the Statistical Center of Iran, which included the information on 19380 urban households. Results: According to the calculation of human capital, the maximum value of a statistical life year in the highincome group was related to the age group of 30-34 yr old (223,286 US$ equals to 9378 million Iranian Rials). The lowest value in all three groups of high, medium and low income is related to the age group of 85 and older. In addition, the economic value of statistical life year for men has been calculated as higher than that of women, however, in older age groups, the human capital of both genders have been converging. Conclusion: The economic value of life for young people aged between 20 to 30 yr was higher than other demographic groups. The findings of the research help to provide a more accurate base for the cost-benefit analysis of health and social policies. Considering the economic value of the statistical life for different age groups may change policy priorities in areas related to health and life of human beings.

ROAD TRAFFIC ACCIDENT COST USING HUMAN CAPITAL METHOD (CASE STUDY IN PURBALINGGA, CENTRAL JAVA, INDONESIA)

2017 ◽  
Vol 79 (2) ◽  
Author(s):  
Gito Sugiyanto ◽  
Mina Yumei Santi
Keyword(s):  
Human Capital ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Property Damage ◽  
Central Java ◽  
Human Cost ◽  
Serious Injury ◽  
Using Data ◽  
National Police

Basic principles of transportation are safety and security, efficiency and equity. The traffic accident rate in Indonesia is still considerably high. In 2014 as reported by the national police, with around 263 accidents per day. Of reported casualties per day, 77.5 people are fatalities, 73.5 people are serious injuries, and 301 people are slightly injuries. Total of the Property Damage Only (PDO) is IDR250,110,380,000 (US$18.547 million). To estimate the economic impacts of accidents, the number of accident casualties and accident costs are the most needed data. The aims of this study is to analysis traffic accidents cost using Human Capital Method. The research location in Purbalingga, Central Java, Indonesia using data from 2010-2015. The accident cost analysis based on the casualty severity of accidents is fatal, seriously injured, slightly injured, and PDO. Components of accident costs include costs to repair vehicle, administrative cost, medical care, and potential loss of human productivity, and human cost. Casualty accident costs by severity type: fatality is IDR501,210,320 (US$37,168), serious injury is IDR18,874,950 (US$1,400), slight injury is IDR6,255,708 (US$464), and property damage only is IDR3,047,914 (US$226). Total accident cost in Purbalingga was estimated IDR236,517,103,652 (US$17,539,274) or 1.27% of the gross domestic product.  

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