Sohn S Y
Department of Industrial Systems Engineering, Yonsei University, Seoul, South Korea.
Accid Anal Prev. 1999 Nov;31(6):751-61. doi: 10.1016/s0001-4575(99)00038-x.
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.
警察局的主要任务之一是管理当地的道路交通事故。反映当地事故特征的适当预防政策能够极大地帮助各个警察局降低各类严重程度的道路交通事故。为了将事故变化与当地驾驶环境特征联系起来，我们同时使用聚类分析和泊松回归。每种事故严重程度在每个聚类层面的拟合结果被用作质量功能展开的输入。质量功能展开（QFD）已应用于各种工业质量改进环境中的客户满意度，其中几种类型的客户需求与各种控制因素相关。我们展示了质量功能展开如何使人们能够确定各个警察局必须特别关注的各种道路事故控制政策的优先级。
