四川环境2026，Vol.45Issue(3)：111-119,9.DOI:10.14034/j.cnki.schj.2026.03.015
基于数据挖掘的公众环境风险感知焦点分析
Focus Analysis of Public Environmental Risk Perception Based on Data Mining
摘要
Abstract
Ensuring a precise response to the public's environmental demands is a vital prerequisite for promoting the modernization of environmental governance.Based on ecological and environmental complaint data from Sichuan Province,a hybrid research framework of"qualitative coding and quantitative modeling"was constructed in this study.Methods including word frequency analysis,Latent Dirichlet Allocation(LDA)topic modeling,and sentiment analysis were synthesized to systematically analyze the structural features and evolution patterns of public environmental risk perception.It was found that public risk perception exhibited the core characteristics of"sensory dominance,government reliance,and surface-level reasoning".The dimensions of direct perception and environmental change account for the highest proportions,and a tendency among the public to attribute governance responsibility to the government was observed.Furthermore,the public opinion analysis revealed the patterns of pollution type coupling and temporal and spatial differentiation,presenting a"high in the east and low in the west,concentrated in the center"pattern,indicating that risk perception was significantly influenced by spatial proximity,temporal persistence,and the cumulative effect of multiple pollutants.This study provides a scientific basis for the government to formulate differentiated risk communication and precise governance strategies.关键词
风险感知/环境污染/群体异质性/环境治理Key words
Risk perception/environmental pollution/group heterogeneity/environmental governance分类
资源环境引用本文复制引用
詹梨苹,赵锐,周晓,余昕煜,汤庆园..基于数据挖掘的公众环境风险感知焦点分析[J].四川环境,2026,45(3):111-119,9.基金项目
国家自然科学基金(41571520) （41571520）
四川省青年科技创新团队项目(2022JDTD0005). （2022JDTD0005）
