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篇名
亞洲大學成為雲林縣智庫的跨域橋接:應用數位地圖協助雲林縣政府制定農電共生循證決策
並列篇名
Asia University as a Transdisciplinary Bridge to Yunlin County’s Think Tank: Applying Digital Mapping to Evidence-Based Decision-Making for Agrivoltaics Policies
作者 王昭能王志華林盈利 (Ying-Li Lin)柯慧貞李明岳
中文摘要
近年來,循證決策(evidence-based policymaking)已獲得全球重視。循證決策係指在政策規劃時,透過多元、客觀及嚴謹的資訊蒐集與分析,而非僅憑主觀判斷或意識形態,作為政策制定、監測和評估之依據。許多先進國家已開始將人工智慧、大數據等技術應用於公共政策領域。隨著這些新興技術的快速發展,如何運用資料提升競爭力已成為重要的決策常態。若縣市政府能掌握並善用豐富的行政資料,將有助於循證決策的實施,優化公共政策設計,並促進地方產業發展。本研究運用大數據技術建立雲林縣農電共生的數據庫,並透過數據視覺化和雲端運算,協助雲林縣政府進行農電共生領域的循證決策。我們採用大數據分析中常見的數據視覺化方法,並運用雲端運算技術建置雲林縣農電共生數位地圖平台。該平台的主要功能在於展示農電共生相關數據,包括能源、農作物、永續低碳及農業物聯網所需資料等。透過數位地圖,可迅速了解雲林縣綠能佈局及農業分佈情況。此外,可藉助視覺化工具分析每一電廠的能源穩定度、農作物生產現況,以及永續低碳追蹤。最後,將物聯網所收集的數據連結至數位地圖平台,除了讓雲林縣相關行政人員能夠快速掌握目前農電共生現況,加入的產業也可即時了解自身農場的數據。目前,已與雲林縣晁陽農產科技股份有限公司、宏昇芽菜與北港得利農業行等三家產業建立合作關係,建立農電共生數據庫,為雲林縣政府提供完整的數位資訊。未來,將把數位地圖平台拓展至整個雲林縣農電共生領域,同時協助雲林縣政府透過循證決策制定永續發展政策。
英文摘要
Evidence-based policymaking has gained global attention in recent years. Evidence-based policymaking refers to the process of formulating, monitoring, and evaluating policies based on the collection and analysis of diverse, objective, and rigorous information, rather than relying solely on subjective judgments or ideologies. Many advanced nations have begun applying emerging technologies such as artificial intelligence and big data to public policymaking. As these technologies rapidly evolve, leveraging data to enhance competitiveness has become an important decision-making norm. If county and city governments can effectively leverage and utilize their rich administrative data, it will facilitate the implementation of evidence-based policymaking, optimize public policy design, and promote local industrial development. This study aims to demonstrate how to establish a database for agrivoltaic symbiosis in Yunlin County using big data technologies, and how to assist the Yunlin County Government in implementing evidence-based policymaking in the agrivoltaic domain through data visualization and cloud computing. We employ commonly used data visualization methods in big data analytics and utilize cloud computing technologies to construct a digital map platform for agrivoltaic symbiosis in Yunlin County. The main function of this platform is to display data related to agrivoltaic symbiosis, including energy, crops, sustainability and low-carbon footprint, and agricultural Internet of Things (IoT) data. Additionally, we can leverage visualization tools to analyze the energy stability of each power plant, crop production status, and sustainable low-carbon tracking. Finally, we link the data collected by the IoT to the digital map platform, allowing relevant administrative personnel in Yunlin County to quickly grasp the current status of agrivoltaic symbiosis, while participating industries can instantly access the IoT data of their own farms. Currently, we have established collaborations with three industries: Yunlin County's Zhaoyang Agricultural Technology Co., Ltd., Hongsheng Sprout, and Beigang Deli Agriculture to build an agrivoltaic database and provide the Yunlin County Government with comprehensive digital information. In the future, we will expand the digital map platform to the entire agrivoltaic domain in Yunlin County, simultaneously assisting the Yunlin County Government in formulating sustainable development policies through evidence-based policymaking.
起訖頁 71-86
關鍵詞 循證決策數據視覺化雲端運算農電共生物聯網evidence-based policymakingdata visualizationcloud computingagrivoltaic symbiosisInternet of Things
刊名 地理研究  
期數 202511 (82期)
出版單位 國立臺灣師範大學地理學系
該期刊-上一篇 低維運成本之城巿儀表板架構設計:以南投城巿儀表板為例
該期刊-下一篇 馬祖文化治理──國際藝術島觀光體驗價值
 

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