基于概率主题建模的“网约车管理政策”公众反馈采纳研究

发布时间：2018-01-27 11:34

本文关键词： 网约车政策公共政策政府治理公众反馈采纳 LDA模型公共管理　出处：《电子政务》2017年04期 　论文类型：期刊论文

【摘要】：政府部门吸纳公众意见、制定更为科学合理的公共政策是国家治理能力现代化的重要体现。以“网约车管理政策”为对象,研究公众反馈意见是否影响交通管理部门制定的“网约车管理政策”。首先采用网络爬虫技术,采集交通运输部网站中有关网约车管理政策征求意见稿的“各方观点”专题数据;然后基于概率主题建模(LDA模型),提炼得出公众对“网约车管理政策”的主要反馈意见,将其与“网约车管理政策”正式政策文本进行对比,得出政府部门在制定公共政策过程中确实采纳了相关的公众反馈意见,与此同时,针对网约车此前并未有明确的法律及规章制度,政府为保证行业能够最大化便利民众出行,最小化影响传统出行方式,在制定政策过程中着重对行业秩序及行为规范做了相关考虑。
[Abstract]:The government department absorbs the public opinion, formulates the more scientific and reasonable public policy is the important embodiment of the modernization of the national governance ability, taking "the network ride-sharing management policy" as the object. This paper studies whether the public feedback affects the traffic management department's "the policy of ride-sharing management". Firstly, it adopts the technology of web crawler. Collect the data of "the views of the parties" in the website of the Ministry of Transport about the draft of the policy of the management of the car rental network; Then based on probabilistic theme modeling, LDA model is used to extract the main feedback from the public on the "ride-sharing management policy" and compare it with the formal policy text of "Web-ride-sharing management policy". Government departments in the process of formulating public policy did adopt the relevant public feedback, at the same time, there is no clear laws and regulations for ride-sharing. In order to ensure that the industry can maximize the convenience of the public travel and minimize the impact on the traditional travel mode, the government pays attention to the industry order and behavior norms in the process of policy formulation.
【作者单位】：华中科技大学公共管理学院;
【正文快照】： 一、引言规范化的舆论呼声日渐高涨,使得网约车合法化问题逐“网约车”是一种新型乘车模式——网络预约租车渐进入了政策制定者的视野。的简称,现已成为公众交通出行的重要组成部分。当2015年10月10日,为推进出租汽车行业改革,规范前,在国家新型城镇化战略和移动互联网时代的

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