Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury
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 z...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2019/7219047 |
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| _version_ | 1832552191131385856 |
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| author | Rong-Chang Jou Tzu-Ying Chen |
| author_facet | Rong-Chang Jou Tzu-Ying Chen |
| author_sort | Rong-Chang Jou |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ebc468ef2c8f437fb6a2bcc041d5e123 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-ebc468ef2c8f437fb6a2bcc041d5e1232025-02-03T05:59:23ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/72190477219047Estimating Productivity Loss Cost according to Severity of Vehicle Crash InjuryRong-Chang Jou0Tzu-Ying Chen1Department of Civil Engineering, National Chi Nan University, No. 1, University Rd, Puli, Nantou County 54561, TaiwanDepartment of Civil Engineering, National Chi Nan University, No. 1, University Rd, Puli, Nantou County 54561, TaiwanThis 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.http://dx.doi.org/10.1155/2019/7219047 |
| spellingShingle | Rong-Chang Jou Tzu-Ying Chen Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury Journal of Advanced Transportation |
| title | Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury |
| title_full | Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury |
| title_fullStr | Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury |
| title_full_unstemmed | Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury |
| title_short | Estimating Productivity Loss Cost according to Severity of Vehicle Crash Injury |
| title_sort | estimating productivity loss cost according to severity of vehicle crash injury |
| url | http://dx.doi.org/10.1155/2019/7219047 |
| work_keys_str_mv | AT rongchangjou estimatingproductivitylosscostaccordingtoseverityofvehiclecrashinjury AT tzuyingchen estimatingproductivitylosscostaccordingtoseverityofvehiclecrashinjury |