Abstract
One of the major tasks of police stations is the management of local road traffic accidents. Proper prevention policy which reflects the local accident characteristics could immensely help individual police stations in decreasing various severity levels of road traffic accidents. In order to relate accident variation to local driving environmental characteristics, we use both cluster analysis and Poisson regression. The fitted result at the level of each cluster for each type of accident severity is utilized as an input to quality function deployment. Quality function deployment (QFD) has been applied to customer satisfaction in various industrial quality improvement settings, where several types of customer requirements are related to various control factors. We show how QFD enables one to set priorities on various road accident control policies to which each police station has to pay particular attention.
| Original language | English |
|---|---|
| Pages (from-to) | 751-761 |
| Number of pages | 11 |
| Journal | Accident Analysis and Prevention |
| Volume | 31 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1999 Nov |
Bibliographical note
Funding Information:This paper is based on the results of research funded by the Research Institute of Police Science in Korea. The author would like to thank Mr Hong Choi for his computational assistance.
All Science Journal Classification (ASJC) codes
- Human Factors and Ergonomics
- Safety, Risk, Reliability and Quality
- Public Health, Environmental and Occupational Health
