Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
571953 | Accident Analysis & Prevention | 2016 | 12 Pages |
Abstract
This paper, therefore, seeks to show that the Delphi Technique is a suitable alternative method that can be exploited in generating highway traffic accident data through which the major accident causes can be identified. In order to authenticate the technique used, Korea, a country that underwent similar problems when it was in its early stages of development in addition to the availability of excellent highway safety records in its database, is chosen and utilized for this purpose. Validation of the methodology confirms the technique is suitable for application in developing countries. Furthermore, the Delphi Technique, in combination with the Bayesian Network Model, is utilized in modeling highway traffic accidents and forecasting accident rates in the countries of research.
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Authors
Anthony C. Mbakwe, Anthony A. Saka, Keechoo Choi, Young-Jae Lee,