Design Data Model and Develop Web Application for Road Traffic Injury in Thailand

Sansanee Pudpong, Pichitpong Soontompipit, Jutatip Sillabutra, P. Satitvipawee
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Abstract

The objective of this paper was to analyze and design the new dataset that could represent the traffic accident situations in terms of data managements. Accident conditions, involving patients and hospitals, were required in the new data model. One of crucial things to decrease their damage or even deaths from road traffic injuries is the coordination among government agencies from all sectors in the Ministry of Public Health. Moreover, it is also necessary to link data from various sources for prompt monitor and control. In this research, data from 4 different sources under the Ministry of Public Health were collected and analyzed. Subsequently, the new dataset with mapped structure and standard was created. Data obtained were utilized for analyzing and mining on the relationship of data, and later presented via the web application. The results revealed that these data were all in different standards or formats. Some variables were stored either in the same standard but different formats, or the different standards but same format. Moreover, data from these different sources were required to transform before mapping into the linkage. Some variables must be complied with the international standard such as ISO or IEC5218. Moreover, using the web application with a new dataset was easier to manage, monitor, and track accident data. For example, graph on accident rate, accident map and severity of accidents in different areas, cause and types of accident in each area were included.
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泰国道路交通伤害数据模型设计与Web应用开发
本文的目的是从数据管理的角度分析和设计能够代表交通事故情况的新数据集。新的数据模型需要涉及患者和医院的事故条件。减少道路交通伤害造成的损害甚至死亡的关键因素之一是公共卫生部各部门政府机构之间的协调。此外,还需要将各种来源的数据链接起来,以便及时监测和控制。在这项研究中,收集和分析了公共卫生部下属4个不同来源的数据。随后,创建了具有映射结构和标准的新数据集。利用获得的数据对数据之间的关系进行分析和挖掘,最后通过web应用程序呈现出来。结果显示,这些数据都采用不同的标准或格式。有些变量要么以相同的标准存储,但格式不同,要么以不同的标准存储,但格式相同。此外,在映射到链接之前,需要对来自这些不同来源的数据进行转换。有些变量必须符合国际标准,如ISO或IEC5218。此外,使用带有新数据集的web应用程序更容易管理、监控和跟踪事故数据。例如,事故发生率图表,不同地区的事故地图和事故严重程度,每个地区的事故原因和类型。
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