| 研究生: |
謝宛佑 Hsieh, Wan-You |
|---|---|
| 論文名稱: |
機場準點率與飛航聯通性之國際地理依存性 Geographical Dependence Observed in the Airport On-time Performance and Air Connectivity |
| 指導教授: |
林珮珺
Lin, Pei-Chun |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 交通管理科學系 Department of Transportation and Communication Management Science |
| 論文出版年: | 2019 |
| 畢業學年度: | 107 |
| 語文別: | 中文 |
| 論文頁數: | 88 |
| 中文關鍵詞: | 準點率 、空間外溢效應 、空間統計分析 、空間計量經濟模型 |
| 外文關鍵詞: | On-time performance, Spatial spillover effect, Spatial statistics analysis, Spatial econometrics analysis |
| 相關次數: | 點閱:131 下載:37 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
本文分析機場之準點率表現,是否影響其飛航聯通性,並使用空間統計方法,從空間維度觀察機場準點率是否具有空間依存性,確立該事實成立後,利用空間計量經濟模型分析空間脈絡關係,探討機場之間準點率表現與飛航聯通性之相互影響關係。實證資料為2017年,全球 1047 個機場和歐洲177個機場的準點率資訊。分析結果顯示,一機場之準點率表現佳時,其周遭鄰近機場亦呈現準點率表現佳之現象,表示準點率佳之機場多為彼此相鄰,並且機場飛航聯通性指數同樣呈現顯著之群聚現象;此外,空間迴歸模型主要包括空間落遲模型(Spatial Lag Model)、空間誤差模型 (Spatial Error Mode)、空間Durbin模型 (Spatial Durbin Model)以及空間自迴歸綜合模型 (Spatial Autoregressive Combined Model),透過本研究探討準點率與飛航聯通性指數之空間關係及空間計量模式應用,對於相鄰機場具有空間外溢效果者,應在鄰近機場採取共同政策,例如多邊協調時間帶分配,若擁擠機場一整天之內遭遇不同時段的航班延誤情形,可增加鄰近次級機場之使用,藉由仍可安排時間帶之次級機場而緩解擁擠機場之限制;透過空間外溢效應,其改善準點率之成效即可能大於僅針對單一機場之政策。
This research aims to explore whether airport’s on-time performance affects its air connectivity, and we use spatial statistics method to observe from spatial dimension whether airport’s on-time performance has spatial dependence. After determining this fact, we use spatial econometrics model to analyze spatial interaction and explore the relationship of interaction between airport’s on-time performance and air connectivity. Empirical materials are on-time performance information of 1047 global airports and 177 European airports in 2017. The analysis results show that nearby airports have better on-time performance when one airport has good on-time performance. Airports that have good on-time performance are mostly adjacent to each other; likewise, the air connectivity index has significant clustering. Besides, the spatial regression model mainly includes Spatial Lag Model, Spatial Error Model, Spatial Durbin Model and Spatial Autoregressive Combined Model. This research explores spatial relationship and spatial econometrics model application of on-time performance and air connectivity index. For nearby airports that have the spatial spillover effect, they should adopt common policies. For example, due to congested airport encountering flight delay of different time interval, it could increase the use of secondary airports by allocating time slots of secondary airports to alleviate restriction of congested airport. Through the spatial spillover effect, the effect of improvement on on-time performance may be greater than single airport’s policy.
中文部分
1. 黃信誠,2000。空間統計簡介。自然科學簡訊,第十二卷,第三期。第101-104頁。
2. 鄧志松,2006。選舉的空間因素:以三次總統選舉為例。國家發展研究,第六卷,第一期。第89-144頁。
3. 陳慈仁、林峰田、何燦群,2001。空間自相關聚集分析,改寫自〈陳慈仁 (2001) 台北市資訊軟體業與網際網路服務業區位分佈之研究 (第三章)〉碩士論文,國立台灣大學。
4. 紀玉臨、賴進貴,2010。區域經濟收斂與空間外溢效應臺灣,1991-2001。地理學報,第58期,第1-23頁。
英文部分
1. Abdel-Aty, M., Lee, C., Bai, Y., Li, X., & Michalak, M. (2007). Detecting periodic patterns of arrival delay. Journal of Air Transport Management, 13(6), 355-361.
2. Abdelghany, K. F., Shah, S. S., Raina, S., & Abdelghany, A. F. (2004). A model for projecting flight delays during irregular operation conditions. Journal of Air Transport Management, 10(6), 385-394.
3. ACI, E. (2018). Airport industry connectivity report. Brussels & SEO Economic Research, Amsterdam.
4. Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical analysis, 27(2), 93-115.
5. Arvis, J.-F., & Shepherd, B. (2011). The air connectivity index: measuring integration in the global air transport network: The World Bank.
6. Aydemir, R., Seymour, D. T., Buyukdagli, A., & Guloglu, B. (2017). An empirical analysis of delays in the Turkish Airlines network. Journal of Air Transport Management, 65, 76-87.
7. Azzam, M. (2017). Evolution of airports from a network perspective–An analytical concept. Chinese Journal of Aeronautics, 30(2), 513-522.
8. Bagler, G. (2008). Analysis of the airport network of India as a complex weighted network. Physica A: Statistical Mechanics and its Applications, 387(12), 2972-2980.
9. Barthélemy, M. (2011). Spatial networks. Physics Reports, 499(1-3), 1-101.
10. Baspinar, B., Ure, N. K., Koyuncu, E., & Inalhan, G. (2016). Analysis of delay characteristics of European air traffic through a data-driven airport-centric queuing network model. IFAC-PapersOnLine, 49(3), 359-364.
11. Blonigen, B. A., & Cristea, A. D. (2015). Air service and urban growth: Evidence from a quasi-natural policy experiment. Journal of Urban Economics, 86, 128-146.
12. Brueckner, J. K. (2002). Airport congestion when carriers have market power. American Economic Review, 92(5), 1357-1375.
13. Brueckner, J. K., & Lin, M. H. (2016). Convenient flight connections vs. airport congestion: Modeling the ‘rolling hub’. International Journal of Industrial Organization, 48, 118-142.
14. Calderón-Meza, G., Sherry, L., & Donohue, G. (2008). Passenger trip delays in the US airline transportation system in 2007. Paper presented at the Third International Conference on Research in Air Transportation, Fairfax VA.
15. Cliff, A. D., & Ord, J. K. (1973). Spatial autocorrelation, monographs in spatial environmental systems analysis. London: Pion Limited.
16. Cohen, J. P., & Coughlin, C. C. (2008). Spatial hedonic models of airport noise, proximity, and housing prices. Journal of Regional Science, 48(5), 859-878.
17. Cohen, J. P., & Paul, C. J. M. (2003). Airport infrastructure spillovers in a network system. Journal of Urban Economics, 54(3), 459-473.
18. Cook, A. J., Tanner, G., & Anderson, S. (2004). Evaluating the true cost to airlines of one minute of airborne or ground delay.
19. Danciu, A. R., & Strat, V. A. (2014). Factors influencing the choice of the foreign direct investments locations in the Romanian regions. Procedia-Social and Behavioral Sciences, 109, 870-874.
20. Derudder, B., Devriendt, L., & Witlox, F. (2010). A spatial analysis of multiple airport cities. Journal of Transport Geography, 18(3), 345-353.
21. Diana, T. (2011). Predicting arrival delays: An application of spatial analysis. Journal of Aircraft, 48(2), 462-467.
22. Economics, O., & Aviation, Y. (2013 ). The Economic Value of International Connectivity.
23. Eurocontrol. (2007). Matter of Time: Air Traffic Delay in Europe.
24. Fukui, H. (2012). Do carriers abuse the slot system to inhibit airport capacity usage? Evidence from the US experience. Journal of Air Transport Management, 24, 1-6.
25. Geary, R. C. (1954). The contiguity ratio and statistical mapping. The incorporated statistician, 5(3), 115-146.
26. Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical analysis, 24(3), 189-206.
27. Goodchild, M. F. (1987). A spatial analytical perspective on geographical information systems. International journal of geographical information system, 1(4), 327-334.
28. Grove, P. G., & O'Kelly, M. E. (1986). Hub networks and simulated schedule delay. Papers in Regional Science, 59(1), 103-119.
29. Gudmundsson, S., Paleari, S., & Redondi, R. (2014). Spillover effects of the development constraints in London Heathrow Airport. Journal of Transport Geography, 35, 64-74.
30. Hansen, M., & Zhang, Y. (2005). Operational consequences of alternative airport demand management policies: case of LaGuardia airport, New York. Transportation research record, 1915(1), 95-104.
31. Hao, L., Hansen, M., Zhang, Y., & Post, J. (2014). New York, New York: Two ways of estimating the delay impact of New York airports. Transportation Research Part E: Logistics and Transportation Review, 70, 245-260.
32. InterVISTAS. (2015). Asia Pacific Commercial Air Transport: Current and Future Economic Benefits.
33. Kanafani, A., & Shami, M. (1996). A Decision Support System for Minimizing the Disturbance of Airfield Construction (SFIA Case Study). Paper presented at the Meeting the Challenge: Rebuilding Inner City Airports. 24th International Air Transportation ConferenceAmerican Society of Civil Engineers.
34. Knorren Nichols, W., & Kunz, M. (1999). Hubbing on time. Airline Business, 15(8), 62-64.
35. Legendre, P. (1993). Spatial autocorrelation: trouble or new paradigm? Ecology, 74(6), 1659-1673.
36. LeSage, J., & Pace, R. K. (2009). Introduction to spatial econometrics: Chapman and Hall/CRC.
37. Meersman, H., & Nazemzadeh, M. (2017). The contribution of transport infrastructure to economic activity: The case of Belgium. Case studies on transport policy, 5(2), 316-324.
38. Moran, P. A. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17-23.
39. Morphet, H., & Bottini, C. (2014). Air connectivity: Why it matters and how to support growth. Connectivity and Growth. PricewaterhouseCoopers, London, 11-29.
40. Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social networks, 32(3), 245-251.
41. Pérez–Rodríguez, J. V., Pérez–Sánchez, J., & Gómez–Déniz, E. (2017). Modelling the asymmetric probabilistic delay of aircraft arrival. Journal of Air Transport Management, 62, 90-98.
42. Pai, V. (2010). On the factors that affect airline flight frequency and aircraft size. Journal of Air Transport Management, 16(4), 169-177.
43. Pearce, B. (2007). Investing in air transport connectivity to boost national productivity and economic growth. The Travel and Tourism Competitiveness Report 2007: Furthering the Process of Economic Development, 83-94.
44. Percoco, M. (2010). Airport activity and local development: evidence from Italy. Urban Studies, 47(11), 2427-2443.
45. Perovic, J. (2013). The economic benefits of aviation and performance in the travel & tourism competitiveness index. The Travel & Tourism Competitiveness Report 2013, 1(1).
46. Rakas, J., Mondoloni, S., Pernigotti, N., & Weiss, W. (1995). CIVIL TILTROTOR TERMINAL AREA ROUTE DEVELOPMENT STUDY.
47. Rebollo, J. J., & Balakrishnan, H. (2014). Characterization and prediction of air traffic delays. Transportation research part C: Emerging technologies, 44, 231-241.
48. Redondi, R., & Gudmundsson, S. V. (2016). Congestion spill effects of Heathrow and Frankfurt airports on connection traffic in European and Gulf hub airports. Transportation Research Part A: Policy and Practice, 92, 287-297.
49. Ripley, B. D. (2005). Spatial statistics (Vol. 575): John Wiley & Sons.
50. Rustamaji, E. (2017). Variety and trends on geographic information systems research: A literature study. Paper presented at the Cyber and IT Service Management (CITSM), 2017 5th International Conference on.
51. Salvi, M. (2008). Spatial estimation of the impact of airport noise on residential housing prices. Swiss journal of economics and statistics, 144(4), 577-606.
52. Santos, B. F., Wormer, M. M., Achola, T. A., & Curran, R. (2017). Airline delay management problem with airport capacity constraints and priority decisions. Journal of Air Transport Management, 63, 34-44.
53. Scaini, C., Folch, A., Bolić, T., & Castelli, L. (2014). A GIS-based tool to support air traffic management during explosive volcanic eruptions. Transportation research part C: Emerging technologies, 49, 19-31.
54. Smyth, M., & Pearce, B. (2007). Aviation Economic Benefits. IATA Economics Briefing, 8.
55. Suzuki, Y. (2000). The relationship between on-time performance and airline market share: a new approach. Transportation Research Part E: Logistics and Transportation Review, 36(2), 139-154.
56. Tobler, W. R. (1979). Cellular geography. In Philosophy in geography (pp. 379-386): Springer.
57. Usami, M., Manabe, M., & Kimura, S. (2017). Airport choice and flight connectivity among domestic and international passengers–Empirical analysis using passenger movement survey data in Japan. Journal of Air Transport Management, 58, 15-20.
58. Yao, R., Jiandong, W., & Jianli, D. (2009). RIA-based visualization platform of flight delay intelligent prediction. Paper presented at the Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on.
網路資料
1. ATAG. (2016). Aviation benefits beyond borders. Retrieved from https://www.atag.org/our-publications/latest-publications.html
2. FlightStats
https://www.flightstats.com/v2/monthly-performance-reports/airports
3. OAG https://www.oag.com/monthly-on-time-performance
4. 董冠麟(民105年1月19日)。政黨票票倉到底在哪裡?空間自相關分析告訴你【部落格文字資料】。取自http://www.geog-daily.org/geogforum/14
5. 侯俐安(民107年5月22日)。準點率又跌!桃機:陸航班逾55%都會延誤【新聞群組】。取自https://udn.com/news/story/7266/3156715