基于SNA法治堵降PM2．5研究

SNA也称社会网络分析法。在治理汽车尾排放PM2．5过程中，提高车速、治理拥堵是一个被研究证明行之有效的办法。文中重在介绍如何在收集国内外治堵学术文献的基础上，通过SNA法寻找治堵关键词及关键词之间的共现频率，得到交通治堵方面的前沿研究热点和综合管理措施的方法。应用Ucinet可视化工具，通过社会网络分析法研究如何提高交通流速度减少PM2．5排放是一种全新的思路，希望通过研究为我国的汽车尾气PM2．5治理提供一种新的思路。

Research for Reducing PM2.5 of Managing Traffic Congestion Based on SNA Method

SNA is also known as social network analysis method.In the course of controlling PM2.5 emissions from vehicle exhaust,increasing vehicle speed,managing congestion is a proven and effective way.This article focuses on introducing how to find the keywords and the co -occurrence frequency in keywords via SNA method on the basis of collection domestic and international academic literature,then get frontier research hot spot and integrated management measurements for managing traffic congestion.Under application of Ucinet visualization tools,it is a new thinking that how to improve traffic flow speed for reducing PM2.5 emissions through the research of the social network.Hope to provide a new thought for the governance of automobile exhaust PM2.5 in our country.