| Summary: | 碩士 === 國立臺灣海洋大學 === 運輸科學系 === 102 === The Ministry of Transportation and Communications (MOTC) spends large amounts of money on improvements of accident-prone locations every year. The purposes of this program are to enhance public driving safety and to reduce the huge social costs that traffic accidents bring to the society. After years of implementation, the MOTC have established a standard operating procedure for safety improvement of accident-prone locations.
This study aims to investigate the effectiveness of this long-term improvement peogram conducted by MOTC by analyszing the improvement performance of accident-prone locations. The Data Envelopment Analysis (DEA) is applied to the assessment. One of the basic assumptions of DEA is that all evaluated units are of the same technical levels. However, the technologies of different implementation organizations are various. This study divides the implementation organization into three different groups: city police department, city department of transportation, and the Directorate General of Highways, MOTC. A metafrontier model is used to measure Malmquist productivity index (MPI). The technical efficiency changes, technical changes, and technological gap changes of accident-prone locations are calculated for each group. In terms of the influence factors of the effectiveness of safety improvement, a Tobit regression model is applied. This study analyzes 113 accident-prone locations over a period of five years from 2003 to 2008. The results show that the greatest effectiveness presents in the third period after the projects implemented. The city police department have the least effectiveness. Tobit regression model indicates that locations in the northern region and urban areas are associated with greater improvement effectiveness. The locations in the special municipalities and conducted by the city police department are associated with lower improvement effectiveness.
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