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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 賴勇成 | |
| dc.contributor.author | Yi-Ju Lin | en |
| dc.contributor.author | 林佾儒 | zh_TW |
| dc.date.accessioned | 2021-05-15T17:51:51Z | - |
| dc.date.available | 2019-09-05 | |
| dc.date.available | 2021-05-15T17:51:51Z | - |
| dc.date.copyright | 2014-09-05 | |
| dc.date.issued | 2014 | |
| dc.date.submitted | 2014-08-14 | |
| dc.identifier.citation | 1. Abril, M., F. Barber, L. Ingolotti, and M. Salido.(2008), An Assessment of Railway Capacity. Transportation Research Part E: Logistics and Transportation Review, Vol. 44, pp. 774–806.
2. Bassanini A., Bella A. L., Nastasi A. (2002), Allocation of Railroad Capacity Under Competition: A Game Theoretic Approach to Track time Pricing, Transportation and Network Analysis: Current Trends, Applied Optimization, Vol. 63, pp. 1-17. 3. Borndorfer, R., Grotschel,, M., Lukac, S., Mitusch, K., Schlechte, T., Schultz, S., Tanner, A.(2005), An Auctioning Approach to Railway Slot Allocation, ZIB-Report, pp.05-45. 4. Calvo, F., and J. D. Ona. (2012), Are Rail Charges Connected to Costs? Journal of Transport Geography, Vol. 22, pp. 28–33. 5. Cambridge Systematics, Inc. (2007), National Rail Freight Infrastructure Capacity and Investment Study. TRB Workshop on Railroad Capacity and Corridor Planning. 6. Canadian Pacific Railway (2012), 2012 Annual Report, http://www.cpr.ca/en/invest-in-cp/financial-reports/FinancialReports/Attachments/221/cp-ar-2012.pdf. Accessed June 30, 2014. 7. Cao C., Gao Z., Li, K. (2012), Capacity Allocation Problem with Random Demands for the Rail Container Carrier, European Journal of Operational Research, Vol. 217, pp. 214–221. 8. Carey, A., Kwiecinski, A. (1994), Stochastic Approximation to the Effects of Headways in Knock-on Delays of Trains, Transportation Research Part B 28(4), pp. 251-267. 9. Corbett, J. (1988), Famine and household coping strategies, World Development, Vol. 16 (9), pp. 1099–1112. 10. Czerny, A. I., Mitusch, K., Tanner, A. (2009), Allocation of Congested Rail Network Capacity: priority rules versus scarcity premiums, European Transport Conference 2009, Netherlands. 11. Dingler, M.H., Lai, Y.C., and Barkan C.P.L. (2013), Mitigating Train Type Heterogeneity on a Single Track Line, Journal of Rail and Rapid Transit, Vol. 227 (2), pp. 140-147. 12. ECMT (2005), Railway Reform and Charges for the Use of Infrastructure, Published by OECD. 13. Federal Railroad Administration (2007). Federal Railroad Administration Track Safety Standards Compliance Manual, Chapter 5 Federal Railroad Administration Track Safety Standards Compliance Manual, United States Government. p. 155. 14. Finger, M., Gueguen, A., Messulam. P. (2013), Towards a new organization of French Railways, 2nd Conference on the Regulation of Infrastructure Industries 15. Fragnelli, V., Garcia-Jurado, I., Norde, H., Patrone, F.,and Tijs, S. (2000), How to Share Railways Infrastructure Costs. Game Practice: Contributions from Applied Game Theory, Theory and Decision Library, Vol. 23, pp 91-101. 16. Gibson, S.(2003), Allocation of Capacity in the Rail Industry. Utilities Policy, Vol. 11, pp. 39–42. 17. Huisman, T., Brocherie, R. J. (1998), Running Times on Railway Sections with Heterogeneous Train Traffic, Transportation Research Part B 35, pp. 271-292. 18. Johnson, D., and Nash, C. (2008), Charging for Scarce Rail Capacity in Britain: A Case Study. Review of Network Economics, Vol.7, Issue 1, pp. 1-24 19. Jong, J. C., Chang, E. F. and Huang, S. H. (2009), A Railway Capacity for Estimating Hourly Throughputs with Mixed Traffic and Complex Track Layouts, Proc. to 3th International Seminar on Railway Operations Modelling and Analysis Engineering and Optimization Approaches, Zurich, Switzerland. 20. Kaas, A.H. (1991), Strategic Capacity Analysis of Networks: Developing and Practical use of Capacity Model for Railway Networks, Scan Rail Consult, Technical University of Denmark. 21. Klug, T., Harrod, S., Schlechte, T. (2013), Comparing railway capacity allocation models, International Association of Railway Operations Research 2013, Copenhagen. 22. Kozan, E., and Burdett, R. L. (2005), A Railway Capacity Determination Model and Rail Access Charging Methodologies, Transportation Planning and Technology, Vol. 28, 2005, pp. 27-45. 23. Kozan, E., and Burdett, R. L. (2006), Techniques for absolute capacity determination in railways, Transportation Research Part B 40, pp. 616–632. 24. Lai, Y. C. (2008), Increasing Railway Efficiency and Capacity Through Improved Operations, Control and Planning, PhD Dissertation, University of Illinois, Urbana, IL 25. Lai, Y. C., Dingler, M., Lin, S. Y., and Liu, K., C. (2013), Optimal track class assignment for a railroad network, Journal of the Operational Research Society, pp. 1-10. 26. Lai, Y.C., and Barkan, C.P.L. (2009) Enhanced Parametric Railway Capacity Evaluation Tool. In Transportation Research Record - Journal of the Transportation Research Board, No. 2117, Transportation Research Board of the National Academies, Washington, D.C., pp. 33-40. 27. Lai, Y.C., Liu Y.H., and Lin, T.Y. (2012), Development of Base Train Equivalents to Standardize Trains for Capacity Analysis. In Transportation Research Record - Journal of the Transportation Research Board, No. 2289, Transportation Research Board of the National Academies, Washington, D.C., pp. 119–125. 28. Maunsell, F.(2007), Capacity Charge Tariff PR2008, Network Rail, October 2007. 29. Nash, C. (2005), Rail Infrastructure Charges in Europe. Journal of Transport Economics and Policy, Vol. 39, Part 3, pp.259-278. 30. Nash, C., S. Coulthard, and B. Matthews. (2004), Rail Track Charges in Great Britain—the issue of charging for capacity. Transport Policy, Vol.11, pp. 315-327. 31. Nilsson, J. E. (2001), Towards a Welfare Enhancing Process to Manage Railway Infrastructure Access. Transportation Research Part A, Vol. 36, 2001, pp. 419–436. 32. Pachl, J. (2002), Railway Operation and Control, VTD Rail Publishing, Mountlake Terrace, WA. 33. Productivity Commission (2008), Assessing Local Government Revenue Raising Capacity, Australian Government, ISBN 978-1-74037-249-7. 34. Quinet, E.(2003), Short term adjustments in rail activity: the limited role of infrastructure charges, Transport Policy 10, pp. 73–79. 35. Quiry, P., Fur Y. L., Salvi, A., Dallochio, M., Vernimmen, P. (2011), Corporate Finance: Theory and Practice, Wiley, 2 edition. 36. Sameni M. K., Dingler, M. H., Preston, J. M., and Barkan, C. P.L. (2011) Profit-Generating Capacity for a Freight Railroad. Presented at Transportation Research Board 90th Annual Meeting, Washington, DC. 37. Sanchez-Borras, M., C. Nash, P. Abrantes, and A. Lopez-Pita. (2010), Rail Access Charges and the Competitiveness of High Speed Trains. Transport Policy, Vol. 17 , pp. 102-109. 38. Schlechte, T.(2011), Railway Track Allocation: Models and Algorithms. Doctoral Dissertation, Sudwestdeutscher Verlag fur Hochschulschriften. 39. Turvey, R. (2000), Infrastructure Access Pricing and Lumpy Investments, Utilities Policy 9, pp. 207–218. 40. Velde, D., Nash, C., Smith, A., Mizutani, F., Uranishis, S., Lijesen, M., Zschoche, F. (2012), EVES-Rail study: Economic effects of Vertical Separation in the railway sector, Full Technical Report. 41. Welch, N., Gussow, J. (1986), Expansion of Canadian National Railway’s Line Capacity, Interfaces 16 (1), pp.51–64. 42. Wilner, F. N. (2013), Amtrak’s Sisyphean struggle to run on time, Railway Age, July 05, 2013 43. 張有恆，運輸經濟學，華泰文化，ISBN 9789576098345，民國一零二年。 44. 曾偉豪，鐵路事業公司化資產結構與組織變革之探討，國立政治大學地政研究所博士論文，民國九十六年。 45. 黃台生、陳拓宇、陳怡憓、王穆衡、陳佩棻、 張贊育、王銘德，臺鐵費率計算公式之檢討與價格訂定策略之規劃，交通部運輸研究所，ISBN 986-00-4842-8，民國九十五年。 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5096 | - |
| dc.description.abstract | 現今軌道運輸需求高長，既有軌道系統因設施擴充不易且費時，逐漸面臨嚴重壅塞問題。如何在有限資源中合理分配軌道使用，以及如何提供誘因促使營運業者以更有效率之方式使用鐵路容量，為軌道領域之重要研究課題。傳統上，鐵路系統多採用計算簡易、意義直觀之吞吐量作為鐵路容量單位，例如單位時間內通過之列車數或延車公里。然而，吞吐量僅反映出各級列車直接加總的最高總通過量，導致營運者決策偏向最大化流量之策略，無法反映出路網之實際價值以及當下之軌道資源價值利用比例。
有鑒於此，本研究擬提出一套鐵路容量分析之新方法，應用「利潤容量」概念，將傳統之鐵路容量單位從吞吐量轉化為價值總量，藉此釐清實際利用率與容量最大產值間的相互關係。利潤容量單位為貨幣值，和制訂財務策略所使用之單位相容，有利於以更全面之管理視角處理鐵路問題。此外，在探討利潤容量的過程中，還需探討「容量最佳分配」議題，本研究將軌道擁有者在各種車路類型路網之不同的利潤容量結構，研擬合乎財務永續原則之容量最佳分配制度與模式。最後，引入列車需求資料建立「整合型利潤容量分析系統」，可提升整體軌道資源運用效率，並兼顧鐵路系統之財務永續性。 | zh_TW |
| dc.description.abstract | The booming demand of rail service has been a worldwide railroad capacity challenge. Railway infrastructure owners are facing critical issues regarding how to utilize track resource efficiently and possibly optimize track capacity allocation. The traditional definition of rail capacity is usually based on the maximum number of trains can be operated in a section of track in a given period. The particular unit (trains/hour or trains/day) does not reflect the train types nor consider the revenue each train can generate. To overcome these limitations in existing capacity models, this research proposes a new concept, “Integrated Profit-generating Capacity”, by considering infrastructure owners’ profit generated from the existing rail network. Since the currency unit of profit-generating capacity corresponds with the operational goal of railroads, the new capacity definition can reflect difference of train types and their abilities to generate profit. In addition to the concept, this research aims to establish the integrated profit-generating capacity models for various types of railways and consider the demand of rail market. By considering the features of networks, the profit-generating capacity can improve the efficiency of capacity utility and improve the financial sustainability of railway system. With consideration of both the rail demand and capacity supply, the optimal usage of the rail infrastructure can be determined. This system has the potential to induce the infrastructure owners generate a better strategy leading to more efficient use of railway capacity resulting in a financially sustainable railway system. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-15T17:51:51Z (GMT). No. of bitstreams: 1 ntu-103-R01521514-1.pdf: 2355309 bytes, checksum: 228fe1b2fefa536e79eba38784e4f1e6 (MD5) Previous issue date: 2014 | en |
| dc.description.tableofcontents | 致謝 I
摘要 II Abstract III 目錄 IV 圖目錄 VI 表目錄 VIII 第一章 、緒論 1 1.1 研究動機 1 1.2 研究目的 2 1.3 研究範圍 3 1.4 論文架構 4 第二章 、文獻回顧 5 2.1 軌道容量定義與分析方法 5 2.1.1 傳統軌道容量分析 6 2.1.2 標準列車容量分析 7 2.2 利潤容量模式概念與要素 11 2.2.1 鐵路組織架構與容量利用策略 12 2.2.2 利潤容量之收入要素 15 2.2.3 利潤容量之成本要素 19 2.3 小結 24 第三章 、研究方法 25 3.1 整合型利潤容量模式概念 25 3.2 整合型利潤容量模式建構流程 27 3.3 利潤容量資料庫之建置 28 3.4 利潤容量之列車價值計算 31 3.4.1 收入要素 35 3.4.2 非容量成本要素 37 3.4.3 動態容量成本要素 38 3.4.4 車路組織架構與列車利潤 40 3.5 跨區段利潤容量最佳化模式 44 3.6 小結 48 第四章 、案例分析 49 4.1 案例一、臺鐵路網車路分離 50 4.2 案例二、臺鐵路網車路合一現況 56 4.3 案例三、臺鐵路網車路合一且開放部分路權 58 4.4 案例四、北美路網容量重新分配 61 4.4.1 流量守恆限制之容量分配結果 64 4.4.2 流量變化限制之容量分配結果 66 4.5 案例五、北美路網加車問題 68 4.6 小結 76 第五章 、結論與建議 77 5.1 結論 77 5.2 建議 78 參考文獻 79 | |
| dc.language.iso | zh-TW | |
| dc.subject | 收益管理 | zh_TW |
| dc.subject | 利潤容量 | zh_TW |
| dc.subject | 容量成本 | zh_TW |
| dc.subject | 鐵路通行費 | zh_TW |
| dc.subject | Access Fee | en |
| dc.subject | Revenue Management | en |
| dc.subject | Profit-generating Capacity | en |
| dc.subject | Access Charge | en |
| dc.title | 以利潤容量概念衡量鐵路路網產值及容量分配 | zh_TW |
| dc.title | Using Profit-Generating Capacity to Evaluate Rail Network Asset Value and Capacity Allocation | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 102-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 李治綱,鍾志成 | |
| dc.subject.keyword | 利潤容量,容量成本,鐵路通行費,收益管理, | zh_TW |
| dc.subject.keyword | Profit-generating Capacity,Access Charge,Access Fee,Revenue Management, | en |
| dc.relation.page | 84 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2014-08-14 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
| 顯示於系所單位： | 土木工程學系 | |
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