期刊论文详细信息
JOURNAL OF ENVIRONMENTAL MANAGEMENT 卷:210
Analysis of influencing factors on public perception in contaminated site management: Simulation by structural equation modeling at four sites in China
Article
Li, Xiaonuo1  Chen, Weiping1  Cundy, Andrew B.2  Chang, Andrew C.3  Jiao, Wentao1 
[1] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
[2] Univ Southampton, Ocean & Earth Sci, Southampton SO14 3ZH, Hants, England
[3] Univ Calif Riverside, Dept Environm Sci, Riverside, CA 92521 USA
关键词: Questionnaire interview;    Structural equation modeling;    Public perception;    Contaminated site;    Remediation;    China;   
DOI  :  10.1016/j.jenvman.2018.01.029
来源: Elsevier
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【 摘 要 】

Public perception towards contaminated site management, a not readily quantifiable latent parameter, was linked through structural equation modeling in this paper to 22 measurable/observable manifest variables associated with the extent of information dissemination and public knowledge of soil pollution, attitude towards remediation policies, and participation in risk mitigation processes. Data obtained through a survey of 412 community residents at four remediation sites in China were employed in the model validation. The outcomes showed that public perception towards contaminated site management might be explained through selected measurable parameters in five categories, namely information disclosure, knowledge of soil pollution, expectations of remediation and redevelopment outcomes, public participation, and site policy, along with their interactions. Among these, information dissemination and attitude towards management policies exhibited significant influence in promoting positive public perception. Based on these examples, responsible agencies therefore should focus on public accessibility to reliable information, and encourage public inputs into policies for contaminated site management, in order to gain public confidence during remediation and regeneration projects. (C) 2018 Elsevier Ltd. All rights reserved.

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