title: Quality function deployment applied to local traffic accident reduction.
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.
authors.affiliation: Department of Industrial Systems Engineering, Yonsei University, Seoul, South Korea. sohns@bubble.yonsei.ac.kr
authors.forename: S Y
authors.initials: SY
authors.lastname: Sohn
mesh_terms: D000056:Accident Prevention; D000063:Accidents, Traffic / Q000517:prevention & control / Q000706:statistics & numerical data*; D016000:Cluster Analysis; D006801:Humans; D007723:Korea; D016012:Poisson Distribution