| Summary: | 碩士 === 國立東華大學 === 管理學院高階經營管理碩士在職專班 === 105 === "Drunk driving" is a kind of easy to get out of control, run the red light ,high speed behavior caused accident ,people will be charged with the results , which is absolutely inconsistent with the principles of social equity and justice , in addition to the police should be enforce in law , but also need the power of the community by public prevention , in order to avoid people which ignore the law driving under and even destroy family. Although Ministry of transporation and communication(MOTC) and Nation Police Agency, Ministry of the interior will be push reduce drunk driving in recent years , but drunk driving accident still happened ,so we have to analysis drunk driving accident factor.
Data visualization is a way to escape the traditional statistical framework to provide data becomes visual table for data features. In this study, drunken driving for research purposes . This study explores the interactive data visualization of drunk driving accident data. The research provide government with a view to developing strategies for prevention of drunk driving accidents or other administrative references. The method is Tableau and ArcGIS. The research source is drunk driving data in the Hualien. Study period 2013-2015 years, data include weather, drivers and roads factors.The research have two directions. First:the data generate statistical charts, symbol maps, interactive visual dashboard, and visualized film by Tableau. Second: the data generate Geographic systems, hot spot analysis and count density.
The research have five result: First: replace the government with lengthy forms, combine more chart and release in Tableau Public. Second: replay time is used. Third: from the symbol map comparison before and after the street map and road factors, to analyze whether the occurrence of traffic accidents. Fourth: For the whole time and traffic for the overall analysis. Fifth: it is complete analysis by hot spots and count density. The research value is data visualization could replace tradition chart to analyze drunk driving. Final, create traffic accident new prevention and provide the future to enhance traffic safety.
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