GREY STATISTICS METHOD OF TECHNOLOGY SELECTION FOR ADVANCED PUBLIC TRANSPORTATION SYSTEMS : THE EXPERIENCE OF TAIWAN
This article describes the use of the Grey Statistics Method in Taiwan to determine the most appropriate technology path for investments in next-generation intelligent transportation systems. The method can be used to analyze unknown or uncertain data that are hard to measure, such as opinions by decision-makers. The analysis suggests that contactless smart cards are the preferred technology for the near future. Secondly, route guidance systems are significant and drew fewer objections than anticipated. Because they require long-term development of infrastructure, it was thought that there would be sufficient time to educate the public about them. Security of information and portability are two important social needs. Future research should address technological characteristics and technological sourcing.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03861112
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Corporate Authors:
International Association of Traffic and Safety Sciences
6-20, Yaesu 2-chome, Chuo-ku
Tokyo 104-0028, Japan -
Authors:
- Wei, C H
- Chung, M C
- Publication Date: 2003
Language
- English
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 66-72
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Serial:
- IATSS Research
- Volume: 27
- Issue Number: 2
- Publisher: International Association of Traffic and Safety Sciences
- ISSN: 0386-1112
Subject/Index Terms
- TRT Terms: Advanced public transportation systems; Decision support systems; Technology assessment; Uncertainty
- Subject Areas: Operations and Traffic Management; Public Transportation;
Filing Info
- Accession Number: 00971451
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: BTRIS, TRIS, ATRI
- Created Date: Apr 1 2004 12:00AM