基于微博数据对突发性环境污染事件公众感知变迁研究  

Research on public perception changes of the sudden environmental pollution event based on MicroBlog

作　　者：张志恒[1] 陈兴鹏[1] 惠丹[1] 

机构地区：[1]兰州大学资源环境学院,甘肃兰州730000

出　　处：《大数据》2016年第3期60-72,共13页Big Data Research

基　　金：国家自然科学基金资助项目(No.41471462)~~

摘　　要：发掘突发环境污染事件下公众感知变迁特征对于应急决策具有重要意义。以"2014年兰州市自来水污染"为例,尝试采用新浪微博的数据,使用内容分析法对公众感知变迁的计量特征、6个感知方向变迁特征进行分析。结果表明,反映公众感知的小文本集遵循齐夫定律;公众感知依次经历发散、平稳、收敛、"公众反思"4个阶段;感知方向的变迁特征分为阶段弱敏感性与强敏感性两类。基于公众感知阶段划分及公众感知方向变迁特征提出应对突发性环境污染事件的建议。Exploring how the characteristics of public perception changes in sudden environmental pollution events is significant to make decisions in emergency. Taking the 2014 Lanzhou water pollution event as an example, by using the data from Sina MicroB log and the content-analysis method, the characteristics of how public perception changes and its six directions were measured. Result shows that the small text set which reflects people＇s follows Zapf ＇s law. Public perception experienced four periods： convergence, stable, divergence, and public reflection. According to the sensitivity, public perception directions can be divided into ＂light sensitive＂ and ＂strong sensitive＂. Based on analysis of periods in public perception and the characteristics of how public perception changes and its directions, suggestions were given on dealing with sudden environmental pollution events.

关 键 词：突发环境污染事件 公众感知 内容分析法 微博 

分 类 号：F205[经济管理—国民经济]