Citation

Jou RC, Wang PL. Accid. Anal. Prev. 2012; 49: 177-185.

Affiliation

Department of Civil Engineering, National Chi-Nan University, No. 1, University Road, Puli, NanTou Hsien 545, Taiwan. rcjou@ncnu.edu.tw

Copyright

(Copyright © 2012, Elsevier Publishing)

DOI

10.1016/j.aap.2011.06.011

PMID

23036394

Abstract

This study uses three-level scenario design and Spike model constructs to investigate the risk premium Taiwan motorcycle operators are willing to pay for moving violations. The primary focus of the investigation is on four types of moving violations including speeding, running red lights, right turn on red violations, and drunk driving. In the model, these four types of violations influence the willingness to pay a risk premium. The results show that, in addition to increasing enforcement, raising the level of fines is one of the most effective methods to influence levels of compliance. Estimated results through the Spike model show that speeders will accept a risk premium of NT$740 (US$1=NT$30), while motorcycle operators who run red lights will accept a risk premium of NT$1100, motorcycle operators who turn right on red will accept a risk premium of NT$367, and motorcyclists who drive drunk will accept a risk premium of NT$18,540. This indicates that current fines in Taiwan could be raised.

Language: en