Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury

Joint Authors

Jou, Rong-Chang
Chen, Tzu-Ying

Source

Journal of Advanced Transportation

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-12-12

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

This study estimates the productivity loss cost according to the severity of vehicle crash injury.

A contingent valuation survey was conducted to estimate the willingness to pay (WTP) of vehicle crash offenders in Taiwan.

In addition, a Double-Hurdle model was used to deal with the large number of zero WTP responses.

The results show that the estimated productivity loss cost of vehicle crash ranges from 2,000 USD to 47,000 USD.

In addition, as expected, the individuals’ WTP is positively related with education, average monthly income, share of vehicle crash responsibility, experience of moderate or worse vehicle crash injury, work days lost after a vehicle crash, and experience of receiving compensation for productivity loss from a vehicle crash.

This study also demonstrates that the Double-Hurdle model was statistically superior to the Tobit model.

American Psychological Association (APA)

Jou, Rong-Chang& Chen, Tzu-Ying. 2019. Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1170078

Modern Language Association (MLA)

Jou, Rong-Chang& Chen, Tzu-Ying. Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury. Journal of Advanced Transportation No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1170078

American Medical Association (AMA)

Jou, Rong-Chang& Chen, Tzu-Ying. Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1170078

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1170078