Center for Land and Environmental Planning, National Taipei University, Taipei County, 23741, Taiwan.
Risk Anal. 2011 Apr;31(4):668-83. doi: 10.1111/j.1539-6924.2010.01539.x. Epub 2010 Dec 13.
Nuclear power is a highly controversial and salient example of environmental risk. The siting or operating of a nuclear power plant often faces widespread public opposition. Although studies of public perceptions of nuclear power date back to 1970s, little research attempts to explain the spatial heterogeneity of risk attitude toward nuclear power among individuals or communities. This article intends to improve the knowledge about the major factors contributing to nuclear power plant risk perceptions by mapping the geographical patterns of local risk perception and examining the determinants in forming the nature and distribution of the perceived risk among potentially affected population. The analysis was conducted by a case study of the Second Nuclear Power Plant (SNPP) in Taiwan by using a novel methodology that incorporates a comprehensive risk perception (CRP) model into an ethnographic approach called risk perception mapping (RPM). First, we examined the determinants of local nuclear power risk perceptions through the CRP model and multivariate regression analysis. Second, the results were integrated with the RPM approach to map and explain the spatial pattern of risk perceptions. The findings demonstrate that the respondents regard the nuclear power plant as an extremely high-risk facility, causing them to oppose the SNPP and reject the compensation payment to accept its continuing operation. Results also indicate that perceptions of nuclear power risk were mainly influenced by social trust, psychological and socioeconomic attributes, proximity, and the perceived effects of the SNPP on the quality of everyday life.
核能是环境风险的一个极具争议性和突出的例子。核电站的选址或运行常常面临广泛的公众反对。尽管公众对核能的看法的研究可以追溯到 20 世纪 70 年代,但很少有研究试图解释个人或社区对核能风险态度的空间异质性。本文旨在通过绘制当地风险感知的地理模式,并检验潜在受影响人群中感知风险的性质和分布的形成因素,来提高对导致核电站风险感知的主要因素的认识。通过采用一种将综合风险感知(CRP)模型纳入一种名为风险感知映射(RPM)的民族志方法的新方法,对台湾第二核电站(SNPP)进行了案例研究。首先,我们通过 CRP 模型和多元回归分析检验了当地核能风险感知的决定因素。其次,将结果与 RPM 方法相结合,以绘制和解释风险感知的空间模式。研究结果表明,受访者认为核电站是一个极高风险的设施,这导致他们反对 SNPP,并拒绝接受补偿以接受其继续运行。结果还表明,对核能风险的看法主要受到社会信任、心理和社会经济属性、接近程度以及 SNPP 对日常生活质量的影响的影响。