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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/23017| Title: | Evaluating driver perception to the effectiveness of Integrated Transport Information System (ITIS): An ordered logit approach |
| Authors: | Ling, Khoo Hooi khoohl@utar.edu.my |
| Keywords: | Integrated Transport Information System (ITIS) Intelligent Transportation System (ITS) Variable message signs (VMS) Advanced Traveler Information System (ATIS) |
| Issue Date: | Jun-2012 |
| Publisher: | The Institution of Engineers, Malaysia (IEM) |
| Citation: | The Journal of the Institution of Engineers, Malaysia, vol. 73(2), 2012, pages 10-17 |
| Abstract: | This study aims to investigate driver perceived effectiveness to the implementation of traffic information dissemination system, i.e. Integrated Transport Information System (ITIS) in Klang Valley region, Malaysia. Five evaluation indicators are chosen, namely usefulness, accuracy, reliability, satisfaction, and benefits of travel time saving. Using revealed preference study, drivers are asked to evaluate the system’s effectiveness based on these indicators. The level of awareness and utilisation of the system is studied as well. Ordered logit models are developed to analyse the significant contributing factors to the perceived effectiveness. Results indicate that drivers perceived radio as the most effective tool. Although some of them perceived negatively to the accuracy and reliability of the system, about 56% of them commented that the system is useful while most of them anticipated that the current system could be further improved in the future |
| Description: | Link to publisher's homepage at http://www.myiem.org.my/ |
| URI: | http://www.myiem.org.my/content/iem_journal_2012-361.aspx http://dspace.unimap.edu.my/123456789/23017 |
| ISSN: | 0126-513X |
| Appears in Collections: | IEM Journal |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Evaluating Driver Perception to the Effectiveness of Integrated Transport Information System (ITIS) - An Ordered Logit Approach.pdf | 321.45 kB | Adobe PDF | View/Open |
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