English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109952/140887 (78%)
Visitors : 46311288      Online Users : 788
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/85584


    Title: 民眾與關鍵群體之低碳能源(含核能安全)科技素養與社會參與之研究( III )
    Other Titles: Engaging Key Groups and the General Public in Citizen Deliberation Regarding Low Carbon Energy (Including Nuclear Safety) Issues( III )
    Authors: 黃東益;林子倫;杜文苓
    Contributors: 公共行政學系
    Keywords: 核能發電;風險感知;巨量資料探勘;公民審議;世界咖啡 館;Nuclear Power;Risk Perception;Big Data Mining;Public Deliberation;World Cafe
    Date: 2013
    Issue Date: 2016-04-19 17:25:38 (UTC+8)
    Abstract: 新興科技所帶來的風險是無所不在,而這樣的風險對於社會
    的影響層面,相對是來的更加全面與廣泛,其中,具備「低
    發生機率、高危害結果」特質的核能發電技術所隱含風險,
    已經成為當代科技風險研究的核心課題。尤其是對於擁有四
    座核能電廠的台灣而言,瞭解利害關係人對於核能風險的感
    知,應當成為政府進行風險評估或風險管理的重要環節。
    然而,過去的測量利害關係人對於核電風險感知的方式,大
    多侷限於電話民意調查的管途徑,使得測量的廣度(時間)與
    深度(議題)相對不足,爰此,本研究特別引進不同的測量途
    徑,先後應用「巨量資料探勘」、「公眾審議模式」等資料
    蒐集途徑,企圖透過不同的資料蒐集方式(巨量資料分析、公
    民審議模式、世界咖啡館等),探討過去研究鮮少關注的特定
    利害關係人(新聞媒體與大學生)對於台灣核能政策的風險感
    知,藉以拼湊出更完整的核能風險圖像。
    本研究發現相對於過去電話民意調查的管途徑,透過「巨量
    資料探勘」的蒐集方式,可以獲得更加多元的資訊,提供更
    加豐富的圖像,藉由趨勢性的分析模式,更可以看出各種事
    件的影響程度與範圍,是以,對於特定風險議題的長期觀
    測,將有助於政府進行政策或風險的溝通;而透過「公眾審
    議模式」的實驗,瞭解到議題知識對於利害關係人進行風險
    決策與溝通的重要性。不過,一方面,議題知識雖然會影響
    利害關係人的政策態度,但,另一方面,議題知識卻不一定
    有助於利害關係人的進行決策,特別是在資訊過度多元的情
    況,因此,透過各種機制進行理性的溝通、對話,才是促進
    對話、達成共識的關鍵。
    據此,政府應該透過多元的途徑,蒐集與理解利害關係人對
    風險的感知,同時,更應該搭建多元的管道,讓利害關係人
    進行互動與對話。如此一來,透過雙管齊下的方式,才能有
    助於化解台灣長期以來的核電爭議。
    The risk new technologies impose on our society is
    everywhere and its impact is widespread. Among the
    hazards with low probability but high threat, the
    risk of nuclear power has been the focus of academic
    endeavor in nowdays. With four nuclear power plants,
    Taiwan has to deal with risk perceptions of key
    stakeholders and to appropriately assess and manage
    risks. Current method used to detect risk perception
    has been restricted to telephone survey and is
    relatively insufficient for analysis in terms of time
    length and deepness. This study takes different
    approaches and adopts big data mining and conducts
    public deliberation forums in attempt to collect data
    distinguished with telephone survey. By doing so,
    this study provides a more complete picture of the
    risk perceptions of Taiwan's stakeholders and gives
    insights to risk management of nuclear power issue.
    Relation: 計畫編號 NSC 102-3113-S004-002
    Data Type: report
    Appears in Collections:[公共行政學系] 國科會研究計畫

    Files in This Item:

    File Description SizeFormat
    102-3113-S004-002.pdf3023KbAdobe PDF2439View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback