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Public Risk Perception Towards Power Generation by Municipal Waste Incineration: Word-Frequency-Based Decision Making

Public Risk Perception Towards Power Generation by Municipal Waste Incineration: Word-Frequency-Based Decision Making
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Author(s): Rui Zhao (Southwest Jiaotong University, China), Yuxin Huang (Southwest Jiaotong University, China), Yuyu Zhou (Southwest Jiaotong University, China), Meng Yang (Southwest Jiaotong University, China) and Xinyue Liu (Sichuan Environment and Engineering AppraisaI Center, China)
Copyright: 2020
Pages: 18
Source title: Advanced Integrated Approaches to Environmental Economics and Policy: Emerging Research and Opportunities
Source Author(s)/Editor(s): Sebastiano Patti (University of Catania, Italy) and Giampiero Trizzino (Regional Council of Environment and Territory, Italy)
DOI: 10.4018/978-1-5225-9562-5.ch005

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Abstract

Power generation by municipal waste incineration provides a template not only for waste reduction but also for energy recovery. However, incineration plants face considerably strong protests from local communities. In such context, this study investigates the public's risk perception towards an operating incineration plant by using a word-frequency-based decision making approach to provide insight into risk mitigation while enhancing public acceptance. An operating municipal waste plant located at Chengdu, Sichuan Province was used as a case study to examine the risk perception posed by the host communities. Face-to-face interviews through a structured questionnaire were applied to data collection. A word frequency analysis was used to identify the key factors that influence public's risk perception and construct a multi-attributive decision matrix for the risk assessment. Entropy-based fuzzy decision making was implemented to discriminate the risk semi-quantitatively. To alleviate possible conflicts, policy implications were given.

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