Abstract
In this paper, it was summarized with the same named continuing PhD Dissertation of the author. The topic of this study; developing a method for, calculating and offering the most pertinent solution to a metro system’s construction and operation costs which includes different alternatives for capacity, train sets, construction methods, etc. For this purpose, a software has been developed for optimizing metro systems construction and operation costs. This software shall be used as basis source for the feasibility studies done for metro systems. Finally, the study aims to offer; proposed software model must meet the estimated transport demand for the target year, and also satisfies minimum construction and operating costs with alternatives. BB-BC Genetic Algorithm method and Results of the Simulator X were used for the optimization.
References
- Dündar Mt, And Öztürk Z, An Evaluation For Optimizing Construction And Operation Costs Of Metro Systems, Advances In Civil Engineering Conference, ITU, Istanbul 2014
- Öztürk Z., Öztürk T.,(2010), Determination of the Ecological Factors in the Istanbul Land Transportation Land Use, IMO Technical Magazine , 2010 4979-4985.
- Öztürk, Z., (2004), Criteria for Choosing right Public Transit Systems, Sixth International Conference on Advances in Civil Engineering, October 6-8, Bosporus University, 1789-1799.
- Demircan, K., (2010): Investigation Of The Reliability Of Travel Demand Forecasts In Urban Railway Systems, Thesis for Master of Science , ITU.
- Flyvbjerg, B., Bruzelius, N. and Rothengatter, W., Megaprojects and Risk: an Anatomy of Ambition. Cambridge University Press, Cambridge (2003).
- Kim G., Kim K., Lee D., Han, C., Kim, H. and Jun, J.T., Development of a life cycle cost estimate system for structures of light rail transit infrastructure. Automation in Construction, 19, 308-325(2010).
- Abril, M., Barber, F., Ingolotti, L., Salido, M.A., Tormos, P. and Lova, A., An assessment of railway capacity. Transportation Research, Part E, 44, 774-806 (2008).
- Magnussen, O.M. and Olsson, N., Comparative analysis of cost estimates of major public investment projects. Inter. J. of Project Manag., 24, 281-288 (2006)
- Fyvbjerg, B., Bruzelius, N. and Van Wee, B., Comparison of Capital Costs per Route-Kilometre in Urban Rail. (2008).
- ITA Working Group Number 13. Underground or aboveground? Making the choice for urban mass transit systems. A report by the International Tunnelling Association (ITA). Prepared by Working Group Number 13 (WG13). Direct and indirect advantages of underground structures. Tunneling and Underground Space Technology, 19, 3-28 (2004).
- Jyh-Cherng Jong (1998), "Optimizing Highway Alignment With Genetic Algorithm", PhD Dissertation, University of Maryland at College Park, 1998.
- Açıkbaş S., 2008: Energy Efficient Driving Control in Multi Trains Multi Lines Rail Systems PhD Dissertation, ITU.
- O.K. Erol, -I. Eksin, (2006), ‘’A new optimization method: big bang-big crunch", Advances in Engineering Software, Vol. 37, pp. 106, 111.
- Flyvbjerg,2005 Policy and Planning for Large Infrastructure Projects: Problems, Causes, Cures World Bank Policy Research Working Paper 3781, December 2005
Abstract
Bu yazıda, aynı yazarın devam eden doktora tezi ile özetlenmiştir. Bu çalışmanın konusu; Bir metro sisteminin, kapasite, tren setleri, inşaat yöntemleri vb. için farklı alternatifleri içeren inşaat ve işletme maliyetlerine en uygun çözümü hesaplamak ve sunmak için bir yöntem geliştirmektir. Bu amaçla, metro sistemleri ve operasyon maliyetleri yapımını optimize etmek için bir yazılım geliştirilmiştir. Önerilen metro koridoru ve bu bölgenin diğer değişken verileri için hazırlanan seyahat talebi sonuçları, maliyet optimizasyon yazılımının girdileridir.
Düşey tasarım kriterleri ışığında alternatif boylamsal profiller sunulacak ve algoritmalarla uygun istasyon tipleri ve iz tipleri sunulacaktır. Bu yazılım, optimum metro sisteminin toplam yapım maliyetini önerecektir. Bu öneriler tren setinin 4-8 araç arasında degismesine gore her bir inşaat maliyeti türüne göre bulunacaktır . Optimizasyon için BB-BC Genetik Algoritma Yöntemi ve Simülatör X'in Sonuçları kullanılmıştır. Bu yazılım metro sistemleri için yapılan fizibilite çalışmaları için temel kaynak olarak kullanılacaktır. Son olarak, çalışma sunmayı amaçlamaktadır; Önerilen yazılım modeli, tahmini taşıma talebini karşılamalıdır. Hedef yıl ve ayrıca alternatiflerle minimum inşaat ve işletme maliyetlerini karşılar.
References
- Dündar Mt, And Öztürk Z, An Evaluation For Optimizing Construction And Operation Costs Of Metro Systems, Advances In Civil Engineering Conference, ITU, Istanbul 2014
- Öztürk Z., Öztürk T.,(2010), Determination of the Ecological Factors in the Istanbul Land Transportation Land Use, IMO Technical Magazine , 2010 4979-4985.
- Öztürk, Z., (2004), Criteria for Choosing right Public Transit Systems, Sixth International Conference on Advances in Civil Engineering, October 6-8, Bosporus University, 1789-1799.
- Demircan, K., (2010): Investigation Of The Reliability Of Travel Demand Forecasts In Urban Railway Systems, Thesis for Master of Science , ITU.
- Flyvbjerg, B., Bruzelius, N. and Rothengatter, W., Megaprojects and Risk: an Anatomy of Ambition. Cambridge University Press, Cambridge (2003).
- Kim G., Kim K., Lee D., Han, C., Kim, H. and Jun, J.T., Development of a life cycle cost estimate system for structures of light rail transit infrastructure. Automation in Construction, 19, 308-325(2010).
- Abril, M., Barber, F., Ingolotti, L., Salido, M.A., Tormos, P. and Lova, A., An assessment of railway capacity. Transportation Research, Part E, 44, 774-806 (2008).
- Magnussen, O.M. and Olsson, N., Comparative analysis of cost estimates of major public investment projects. Inter. J. of Project Manag., 24, 281-288 (2006)
- Fyvbjerg, B., Bruzelius, N. and Van Wee, B., Comparison of Capital Costs per Route-Kilometre in Urban Rail. (2008).
- ITA Working Group Number 13. Underground or aboveground? Making the choice for urban mass transit systems. A report by the International Tunnelling Association (ITA). Prepared by Working Group Number 13 (WG13). Direct and indirect advantages of underground structures. Tunneling and Underground Space Technology, 19, 3-28 (2004).
- Jyh-Cherng Jong (1998), "Optimizing Highway Alignment With Genetic Algorithm", PhD Dissertation, University of Maryland at College Park, 1998.
- Açıkbaş S., 2008: Energy Efficient Driving Control in Multi Trains Multi Lines Rail Systems PhD Dissertation, ITU.
- O.K. Erol, -I. Eksin, (2006), ‘’A new optimization method: big bang-big crunch", Advances in Engineering Software, Vol. 37, pp. 106, 111.
- Flyvbjerg,2005 Policy and Planning for Large Infrastructure Projects: Problems, Causes, Cures World Bank Policy Research Working Paper 3781, December 2005
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Makaleler |
| Authors | |
| Publication Date | June 24, 2015 |
| Submission Date | June 24, 2015 |
| Published in Issue | Year 2015 |
Cited By
Açık Dergi Erişimi (BOAI)
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