Irregular Bigdata Analysis and Considerations for Civil Complaint Based on Design Thinking

Kim Tae Hyung, Byung-Jae Park, Suh Eungkyo
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引用次数: 1

Abstract

Purpose - Civil affairs are increasing in various forms, but civil servants who are able to handle them want to reduce the complaints and provide keywords that will help in the future due to their lack of time. While various ideas are presented and implemented as policies in solving civil affairs, there are many cases that are not policies that people can sympathize with. Therefore, it is necessary to analyze the complaints accurately and to present correct solutions to the analyzed civil complaint data. Research design, data, and methodology - We analyzed the complaints data for the last three years and found out how to solve the problems of Yongin City and alleviate the burdens of civil servants. To do this, the Hadoop platform and Design Thinking process were reviewed, and proposed a new process to fuse it. The big data analysis stage focuses on civil complaints - Civil data extraction - Civil data analysis - Categorization of the year by keywords analyzing them and the needs of citizens were identified. In the forecast analysis for deriving insights, - The case of innovation case study - Idea derivation - Idea evaluation - Prototyping - Case analysis stage used. Results - Through this, a creative idea of providing free transportation cards to solve the major issues of construction, apartment, installation, and vehicle problems was discovered. There is a specific problem of how to provide these services to certain areas, but there is a pressing need for a policy that can contribute as much as it can to the citizens who are suffering from various problems at this moment. Conclusions - In the past, there were many cases in which free traffic cards were issued mainly to the elderly or disabled. In other countries, foreign residents of other area visit the areas for accommodation, and may give out free transportation cards as well. In this case, the local government will be able to set up a framework to present with a win-win scenario in various ways. It is necessary to reorganize the process in future studies so that the actual solution will be adopted, reduce civil complaints, help establish policies in the future, and be applied in other cities as well.
基于设计思维的不规范大数据分析及民事诉讼思考
▽目的=虽然各种形式的民政正在增加,但有能力处理民政事务的公务员由于时间紧迫,希望减少投诉,并提供日后有用的关键词。虽然各种各样的想法作为解决民政问题的政策被提出和实施,但也有许多情况不是人们可以同情的政策。因此,有必要对投诉进行准确的分析,并对分析的民事投诉数据提出正确的解决方案。▽研究设计、资料、方法=通过分析最近3年的投诉资料,找出了解决龙仁市问题和减轻公务员负担的方法。为此,对Hadoop平台和Design Thinking流程进行了回顾,并提出了一种新的融合流程。大数据分析阶段侧重于民事投诉-民事数据提取-民事数据分析-通过关键词进行年度分类分析,识别公民需求。在预测分析中进行见解的衍生,案例创新——案例研究——创意衍生——创意评估——原型制作——案例分析阶段使用。▽结果=通过此次活动,找到了解决建筑、公寓、安装、车辆等主要问题的免费交通卡方案。如何向某些地区提供这些服务是一个具体的问题,但迫切需要制定一项政策,尽可能多地为目前遭受各种问题的公民做出贡献。在过去,有很多情况下,免费交通卡主要发给老年人或残疾人。在其他国家,其他地区的外国居民到该地区住宿,也可以免费发放交通卡。在这种情况下,地方政府可以建立一个框架,以多种方式呈现双赢局面。在未来的研究中,有必要重新组织流程,以便采用实际的解决方案,减少民事投诉,帮助未来制定政策,并在其他城市也适用。
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