| Title |
Estimation of Willingness-to-pay for Mitigating Crowdedness in High-speed Rail Trains |
| Authors |
이장호(Lee, Jang-Ho) ; 김동선(Kim, Dong-Sun) |
| DOI |
https://doi.org/10.12652/Ksce.2017.37.2.0379 |
| Keywords |
고속철도;혼잡도;지불용의액;조건부 가치측정법;토빗모형 High-speed rail;Crowdedness;Willingness-to-pay;Contingent valuation method;Tobit model |
| Abstract |
As the average load factor of High-Speed Rail (HSR) trains increased up to 98%, it caused uncomfortable crowdedness in the cabin and deteriorated the level of service to the HSR users. In this paper, we estimated the willingness-to-pay (WTP) of the HSR users for mitigating the crowdedness in the cabin. The contingent valuation method based on the stated preference data was used and the tobit model was applied for the estimation of WTP. It can be concluded that WTP for mitigating the crowdedness in the HSR trains is proportional to the congestion level of train and income level of user. Males, first-class users, not-assigned ticket users, and monthly pass users have relatively higher WTPs, while homemakers, travelers in weekends, commuters and leisure travelers have relatively lower values. The results can provide the fundamental information to estimate the benefits of mitigating crowdedness or the magnitude of governmental subsidy to railway operators for additional introduction of HSR trains. |