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中文論文名稱 都會區雙機場之市區機場對飛航線市場範圍研究-以松山機場為例
英文論文名稱 Market Catchment Area of A Metropolis' Two Airports for City Airport-Pair Flights: A Case of Taipei Sonshan Airport
校院名稱 淡江大學
系所名稱(中) 運輸管理學系碩士班
系所名稱(英) Department of Transportation Management
學年度 100
學期 2
出版年 101
研究生中文姓名 邱鈺雯
研究生英文姓名 Yu-Wen Chiu
學號 699660030
學位類別 碩士
語文別 中文
口試日期 2012-06-18
論文頁數 88頁
口試委員 指導教授-溫裕弘
委員-黃寬丞
委員-湯慶輝
中文關鍵字 機場市場範圍  機場對市場  市場涵蓋範圍  解析性模式  連續性網路 
英文關鍵字 Airport Market Area and Distribution  Airport-pair Market  Airport Catchment Area  Analytical Models  Continuous Network Approach 
學科別分類 學科別社會科學管理學
中文摘要 許多大都會早年因市區機場周邊土地使用受限、噪音限制及運量不勝負荷,而於市郊、衛星城市另新建國際機場,舊機場則轉型為國內機場,這類機場發展即形成一都會區雙機場模式。最近幾年,此類都會區雙機場模式漸轉型,運用市區機場接近市中心的優勢,重新定位舊市區機場為區域機場,陸續發展區域之市區機場與市區機場對飛航線。在區域市區機場對飛航線之成形下,都會區雙機場之市場範圍與規模、雙機場之市場區隔與功能定位、彼此之競合關係,及探究區域市區機場對飛航線具備多少市場發展潛力,即成為值得深入研究與解析之課題。過去相關機場市場研究以機場選擇研究為主,以個體選擇模式、旅客偏好實證分析航空旅運市場;而解析性市場範圍分析,則較個體選擇模式研究更能分析機場市場涵蓋範圍與區隔。然而,尚少研究針對於同一城市對航線市場中不同機場對之選擇進行分析,且針對亞洲都會區雙機場之區域機場對選擇與其市場範圍分析,確為值得研究之重要課題。
本研究主要針對一都會區雙機場中之市區機場發展區域市區機場對飛航線進行市場範圍區隔分析,並以松山機場發展亞洲黃金四角航線進行實證分析,其模式的結果測試被證明是接近吻合實際市場佔有率的。本研究以解析性概念模式及連續性網路分析方法為基礎,進一步將個體選擇偏好與時間價值分配之實證調查結果整合於解析性之市場範圍區隔模式中,透過同一「城市對」航線市場中不同「機場對」之一般化旅行成本比較關係與解析模式推導,以及運用連續性網路方法推估雙機場之市場範圍區隔與市區機場之涵蓋範圍與運量規模。透過本研究模式分析結果,推估松山機場於亞洲區域市區機場對飛航線啟航後在這些亞洲城市對市場中能與桃園國際機場分配到多少市場、雙機場間之市場範圍區隔與市場規模。再透過情境分析與敏感度測試,探討重要參變數之影響,並推論雙機場市場區隔策略意涵以及機場發展參考。研究結果顯示,時間價值越高、出發可及時間縮短、到達接駁時間縮短,會較偏向選擇松山機場,透過本研究分析可瞭解松山機場的市場涵蓋範圍以臺北市為主要核心,推論其定位應朝向以商務旅客並提升可及性為主要發展。
英文摘要 The roles of a metropolis’ two airports have changed. Many years ago, due to urban development, airport noise regulation, and traffic congestion, major metropolises built new international airports and transformed existing city airports into domestic airports. But more recently, this pattern of “one domestic airport, one international airport” for major metropolises has been changed. Their city airport has been redefined as a regional airport, now allows direct flights to other capital city airports, which takes advantage of city airport’s proximity to the city. As the development of Asia city-to-city airport pair flights, market analysis for those metropolises’ two airports has become an important issue in air transportation and geography fields. Previous studies on analyzing airport market share mostly used discrete choice-based passengers’ airport choice models. Another approach used analytical model on estimating market boundaries of airport. However, few studies discussed airport-pair market and estimate market catchment for city-to-city airport pair flights in Asia.
This study focuses on analyzing market area and distribution of a metropolis’ two airports for regional city-to-city airport pair flights. This study integrates empirical preference study in analytical market area approach. Analytical formulations are developed for estimating market area boundaries of a metropolis’ two airports (one major international airport, one minor city airport). This study also uses continuous network approach to estimate the catchment area and market size of the city airport for city-to-city airport-pair markets. A case study with airport-pair flights among Taipei Songshan Airport, Shanghai Hongqiao Airport, and Tokyo Haneda Airport is provided to illustrate the results and the application of the proposed models. The performances of the calibrated models are tested and proven to be in good agreement with the actual market shares of air passenger turnovers. Market area and market size of Songshan Airport for those Asia city-pair markets will be determined. Sensitivity analysis and scenario analysis are also discussed. The numerical results showed that the higher the value of time, the shorter the access and egress time, the more stimulation for passengers tending to choose the Songshan Airport. In addition, it is envisaged that the results of this study not only provide a better understanding on how to estimate market area and catchment distribution of a metropolis’ two airports but also may shed light on city airport development.
論文目次 目錄
謝辭
中文摘要
英文摘要
目錄 i
圖目錄 ii
表目錄 iii
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研究範圍與對象 4
1.4研究架構與流程 5
第二章 文獻回顧 8
2.1旅客機場選擇相關文獻 8
2.2航空運輸市場範圍相關文獻 14
2.3文獻回顧小結 18
第三章 模式建構 20
3.1旅客一般化旅行成本函數 20
3.2市場範圍區隔分析 23
3.3機場對航線市場運量總計分析 25
第四章 範例分析 29
4.1松山機場東北亞機場對飛航線現況概述 29
4.2「城市對」航線市場範圍實證分析 33
4.3敏感度與情境分析 52
4.3.1敏感度分析 52
4.3.2情境分析 69
4.4小結 80
第五章 結論與建議 82
5.1結論 82
5.2建議 84
參考文獻 85

表目錄
表2.1-1 旅客選擇行為相關文獻(1/4) 11
表2.1-2 旅客選擇行為相關文獻(2/4) 12
表2.1-3 旅客選擇行為相關文獻(3/4) 13
表2.1-4 旅客選擇行為相關文獻(4/4) 14
表2.2-1 運輸市場範圍相關文獻(1/2) 17
表2.2-2 運輸市場範圍相關文獻(2/2) 18
表4.1-1 民國99年11月至101年3月桃園機場黃金航圈營運情況 31
表4.1-2 民國99年11月至101年3月松山機場黃金航圈營運情況 31
表4.2-1 參數設定 34
表4.2-2 研究範圍各分區代碼 36
表4.2-3 各分區之時間價值分配設定值 37
表4.2-4 各區商務/非商務旅客選擇臺北-上海航線兩機場之可能機率 39
表4.2-5 各區商務/非商務旅客臺北-上海航線選擇兩機場之潛在市場規模 40
表4.2-6 各區商務/非商務旅客臺北-上海航線中兩機場之地理市場涵蓋分配 41
表4.2-7 各區商務/非商務旅客臺北-東京航線選擇兩機場之可能機率 46
表4.2-8 各區商務/非商務旅客臺北-東京航線選擇兩機場之潛在市場規模 47
表4.2-9 各區商務/非商務旅客臺北-東京航線中兩機場之地理市場涵蓋分配 48
表4.3.2-1各區商務/非商務旅客桃園機場捷運通車情境之兩機場地理市場涵蓋分配 71
表4.3.2-2各區商務/非商務旅客松山機場對飛班次增加情境之兩機場地理市場涵蓋分配 76


圖目錄
圖1.4- 1研究架構圖 6
圖1.4- 2研究流程圖 7
圖3.2-1 時間價值分配示意圖 25
圖4.1-1 民國99年10月至民國101年3月臺北-上海航線之桃園、松山對飛航線旅客量變化 32
圖4.1-2 民國99年10月至民國101年3月臺北-東京航線之桃園、松山對飛航線旅客量變化 32
圖4.2-1 研究範圍 35
圖4.2-2 各區商務/非商務旅客臺北-上海航線地理上選擇兩機場百分比 42
圖4.2-3 臺北-上海航線商務旅客兩機場市場涵蓋範圍分佈圖 43
圖4.2-4 臺北-上海航線非商務旅客兩機場市場涵蓋範圍分佈圖 44
圖4.2-5 各區商務/非商務旅客臺北-東京航線地理上選擇兩機場百分比 49
圖4.2-6 臺北-東京航線商務旅客兩機場市場涵蓋範圍分佈圖 50
圖4.2-7 臺北-東京航線非商務旅客兩機場市場涵蓋範圍分佈圖 51
圖4.3.1-1 各時間價值平均值敏感度設定組合與原始設定之商務旅客松山機場涵蓋分佈圖 54
圖4.3.1-2 各時間價值平均值敏感度設定組合與原始設定之非商務旅客松山機場涵蓋分佈圖 55
圖4.3.1-3 商務/非商務旅客選擇松山機場時間價值平均值敏感度分析結果比較 56
圖4.3.1-4 各時間價值標準差敏感度設定組合與原始設定之商務旅客松山機場涵蓋分佈圖 59
圖4.3.1-5 各時間價值標準差敏感度設定組合1與原始設定之非商務旅客松山機場涵蓋分佈圖 60
圖4.3.1-6 商務/非商務旅客選擇松山機場時間價值平均值敏感度分析結果比較 61
圖4.3.1-7 可及/接駁時間權重比設定組合1與原始設定之商務旅客松山機場涵蓋分佈圖 63
圖4.3.1-8 可及/接駁時間權重比設定組合1與原始設定之非商務旅客松山機場涵蓋分佈圖 64
圖4.3.1-9 可及/接駁時間權重比設定組合2與原始設定之商務旅客松山機場涵蓋分佈圖 66
圖4.3.1-10 可及/接駁時間權重比設定組合2與原始設定之非商務旅客松山機場涵蓋分佈圖 67
圖4.3.1-11 商務/非商務旅客選擇松山機場可及時間/接駁時間權重比敏感度分析結果比較 68
圖4.3.2-1 桃園機場捷運通車情境與原始設定之商務旅客松山機場涵蓋分佈圖 72
圖4.3.2-2 桃園機場捷運通車情境與原始設定之非商務旅客松山機場涵蓋分佈圖 73
圖4.3.2-3 商務/非商務旅客選擇松山機場機場捷運通車結果比較 74
圖4.3.2-4 松山機場對飛班次增加情境與原始設定之商務旅客松山機場涵蓋分佈圖 77
圖4.3.2-5 松山機場對飛班次增加情境與原始設定之非商務旅客松山機場涵蓋分佈圖 78
圖4.3.2-6 商務/非商務旅客選擇松山機場對飛班次增加結果比較 79
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