自20世纪80年代开始，环境风险感知研究成为国际学者关注的重点和热点。国内外大量学者基于不同学科视角对环境风险感知进行研究，但这一研究领域仍存在较大争议。以1982—2019年公开发表的关于环境风险感知的415篇WOS期刊相关论文为样本，运用SATI软件构建知识单元共现矩阵，将矩阵导入 Ucinet 社会网络分析软件生成环境风险感知关键词共现知识图谱，采用SPSS软件对高频关键词相异矩阵进行因子分析、聚类分析和多维尺度分析，呈现环境风险感知的9个研究流派和4个维度的知识谱系，并在此基础上割裂为实存论和建构论。多学科路径下环境风险感知研究在“概念阐释”“内容统一”“理论整合”呈现相互渗透，彼此交融特征，但是由于实存论和建构论的互异性和隔膜，导致环境风险感知研究难以实质融合，由此可为我国的环境风险感知研究提供借鉴和反思。
Since the 1980s, the research on environmental risk perception has become the focus and hot spot of international scholars. A large number of scholars at home and abroad summarize and analyze the literature of environmental risk perception from the perspective of different disciplines, but it is still difficult to reach a consensus in this research field. In this study, 415 papers related to environmental risk perception published in 19822019 were taken as samples, and the knowledge unit cooccurrence matrix was constructed by SATI software. The matrix was introduced into Ucinet social network analysis software to generate environmental risk perception keyword cooccurrence knowledge map, and SPSS software was used for factor analysis, cluster analysis and multidimensional scale analysis of high frequency keyword dissimilarity matrix. There are nine academic school researches and four knowledge map dimensions of environmental risk perception. According to these, they are divided into two dimensions: “existentialism ” and “constructivism”. Under the multidisciplinary path, the research of environmental risk perception is permeated and intermingled with each other in “conceptual interpretation”, “objective unity” and “theoretical integration”. However, due to the differences and divisions between “existentialism” and “constructivism”, it is difficult to integrate the study of environmental risk perception. According to this, it will provide reference and reflection for the study of environmental risk perception in China.
王晓楠.国外环境风险感知跨学科研究的知识谱系[J].河海大学学报(哲学社会科学版),2020,22(1):63-73.(WANG Xiaonan. Knowledge Map of Environmental Risk Perception Abroad Based on Cowords and Social Network Analysis[J]. Journal of Hohai University (Philosophy and Socail Sciences),2020,22(1):63-73.(in Chinese))复制