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系統識別號 U0026-2708201809001900
論文名稱(中文) 電動車充電站關鍵成功因素之探討
論文名稱(英文) A Study on Critical Success Factors of Electric Car Charging Stations
校院名稱 成功大學
系所名稱(中) 資訊管理研究所
系所名稱(英) Institute of Information Management
學年度 106
學期 2
出版年 107
研究生(中文) 蔡佩玲
研究生(英文) Pei-Ling Tsai
學號 R76051121
學位類別 碩士
語文別 中文
論文頁數 112頁
口試委員 口試委員-林耀欽
口試委員-梁直青
口試委員-謝佩璇
口試委員-呂執中
指導教授-呂執中
中文關鍵字 綠能  充電站  分析網路程序法  BOCR 
英文關鍵字 Green Energy  Charging Station  Analytic Network Process(ANP)  BOCR 
學科別分類
中文摘要 為了朝環境永續發展的目標邁進,電動車能透過取代使用內燃機驅動的傳統車輛來降低二氧化碳的排放量,成為近年來各國政府致力推動的產業,而電動車主要動力來源為電能,相關電能補充之基礎設施必須滿足使用者的需求。由於電動車進行充電通常需要耗費一段時間,且目前普遍的充電站僅以充電樁提供單一充電服務,並無有效商業模式支援營運。
因此,本研究提出導入綠能概念的電動車充電站,結合交通轉運、餐飲、購物商城等元素,不僅能補貼充電站收益,也為使用者填補漫長的充電時間、提升使用意願,而再生能源也能支援電力不足的問題,為電動車產業帶來突破亦促進發展。建造充電站需要投入龐大的資金,藉由專業評估了解此項目的發展性及相關影響因素是極為重要的,若能預先得知電動車充電站關鍵成功因素則可降低投資風險,業者也能加速成本回收、創造利潤並提供使用者完善的服務。
本研究依據國內外研究文獻和相關產業報告,以利益(benefits)、機會(opportunities)、成本(costs)、風險(risks)四大指標構面建立初步架構,並經過專家訪談後確認構面與其中要素之適切性,運用分析網路程序法(Analytic Network Process, ANP)評估可能影響電動車充電站之因素,接著藉由優勢度大小排序找出關鍵因素,可提供建構與經營電動車充電站之業者作為參考依據。研究結果顯示,業者投資時最關鍵的因素是經濟效益,其次是政府政策、設備成本。有鑒於經濟效益是最需要考量的因素,本研究以兩個情境模擬案例進行經濟效益評估,發現內部報酬率皆大於折現率,可分別達到7.35%及9.28%,益本比也都大於1,表示此電動車充電站具有經濟可行性。最後,透過投資組合分析發現,充電樁數量對於投資選擇具有較大的影響,數量越多帶來的人潮越多,收益也就越高。
英文摘要 Electric vehicles have been promoted by many countries in recent years as a key step towards achieving environmental sustainability. Charging infrastructure for electric vehicles is necessary to moving toward this trend. There are many policies to support the establishment of charging stations currently. However, since there are many alternatives to build up a charging stations and many possible business models to support operations, a study to determine the critical success factors of establishment electric car charging stations, including a solar system, charging devices, transportation hub, and service area, etc., is necessary.
This study explores the critical success factors of electric car charging stations using analytic network process (ANP) method. Based on the literature and industry reports, the ANP prototype structure is established with four facets — benefits, opportunities, costs, and risks — where weights were obtained through expert interviews and questionnaire. Results show that the most critical factor is economic benefit, following by government policy and equipment cost. Finally, a situational simulation and portfolio analysis are provided for more insights. Through a portfolio analysis, this study found out that the number of charging piles has the greatest impact on investment choices.
論文目次 摘要 I
英文延伸摘要 II
誌謝 VIII
目錄 IX
表目錄 XII
圖目錄 XIV
第一章 緒論 1
1.1研究背景與動機 1
1.2研究目的 3
1.3研究範圍與限制 3
1.4研究流程 4
第二章 文獻探討 6
2.1電動車充電站 6
2.1.1電動車概述 6
2.1.2充電方式與充電站 7
2.1.3充電系統標準 9
2.2 BOCR分析 12
2.3分析網路程序法 18
2.3.1分析層級程序法(Analytic Hierarchy Process, AHP) 18
2.3.2分析網路程序法(Analytic Network Process, ANP) 20
2.3.3分析網路程序法之應用 22
2.3.4 AHP與ANP之差異 23
2.4小結 25
第三章 研究方法 26
3.1研究架構 26
3.2問卷設計 29
3.2.1研究假設 29
3.2.2要素擬定 30
3.2.3研究對象 32
3.2.4前測問卷 33
3.2.5專家問卷設計 33
3.3 ANP建構步驟 35
第四章 研究結果與分析 39
4.1前測問卷結果與分析 39
4.2 ANP專家問卷結果與分析 43
4.2.1ANP模型建構 43
4.2.2問卷彙整與一致性檢定 44
4.2.3建立超級矩陣 54
4.2.4綜合結果 58
4.3案例討論 64
4.4投資分析與管理意涵 68
4.5小結 73
第五章 結論 75
5.1研究結論 75
5.2後續研究建議 77
參考文獻 78
附錄一、初步要素篩選問卷 88
附錄二、ANP專家問卷 93
附錄三、ANP問卷結果 107
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