پژوهشنامه حمل و نقل

پژوهشنامه حمل و نقل

افزایش برگشت پذیری شبکه حمل ونقل ریلی با تکیه بر مکانیابی بهینه سازمان قطار نجات

نوع مقاله : مقاله پژوهشی

نویسندگان
1 استادیار، دانشکده مهندسی عمران و منابع زمین، دانشگاه آزاد اسلامی واحد تهران مرکز، تهران، ایران
2 دانشیار، دانشکده مهندسی عمران، دانشکدگان فنی، دانشگاه تهران، تهران، ایران
چکیده
یک سیستم ریلی برگشت پذیر قابلیت آن را دارد که در صورت افت عملکرد آن در اثر سانحه، طی زمان معقولی به حالت عملکرد عادی خود بازگردد. در این مقاله روشی برای افزایش برگشت پذیری شبکه ریلی از طریق مکانیابی بهینه سازمان قطار امداد و نجات به منظور بازگشایی سریع محور ریلی مسدود شده در اثر سانحه و نیز تخصیص آن به بلاک های ریلی آسیب پذیر شبکه ارائه شده است. بدین منظور، شاخص در معرض آسیب بودن برای تعیین آسیب پذیری هر بلاک ریلی بر حسب میزان اهمیت آن در عملکرد شبکه و سطح دسترسی آن به جاده‌ به عنوان یک سیستم پشتیبان در امدادرسانی معرفی می گردد. با توجه به شرایط عملیاتی ویژه مساله، یک مدل برنامه‌ریزی عددصحیح دوهدفه به منظور حداکثر کردن پوشش مشارکتی بلاک های آسیب پذیر شبکه و نیز حداقل نمودن زمان سفر امداد پیشنهاد شده است. برای حل این مدل از روش اپسیلون-محدودیت تقویت شده (AUGMECON) برای تعیین جواب های بهینه پارتو استفاده شده است. برای نشان دادن کاربرد واقعی متدولوژی ارائه شده در این مقاله، شبکه ریلی ایران به عنوان مطالعه موردی انتخاب و نتایج آن مورد تحلیل و بررسی قرار گرفته است.
کلیدواژه‌ها

عنوان مقاله English

Increasing the Resilience of Rail Network through the Optimal Location of Relief Trains

نویسندگان English

Mostafa Bababeik 1
Kambiz Behnia 2
Navid Khademi 2
1 Assistant Professor, Department of Civil Engineering, Isalmic Azad University of Central Tehran Branch, Tehran, Iran.
2 Associsate Professor, Department of Civil Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.
چکیده English

A resilient rail system has the ability to return to its normal operation quickly after losing its performance when an accident happens. In this paper, a method is proposed to increase the resilience of the rail network through the optimal location of the relief train in order to reopen the damaged railroad segment and to allocate it to the vulnerable rail segments of the network. To this end, the exposure of link index is proposed to determine the vulnerability of each rail link in terms of the importance of that link in the network and its accessibility to road as a support system in emergency. Considering the specific operating conditions of the problem, a bi-objective mathematical programming model is proposed to maximize the cooperative coverage of the vulnerable links of the network and minimize the total emergency travel time of relief travel. To solve this model, the Augmented Epsilon-Constrained Method (AUGMECON) has been used to determine the optimal Pareto solutions. In order to illustrate the true applicability of the proposed methodology and verify the obtained results, the rail network of Iran has been adopted as a case study and its results have been analyzed.

کلیدواژه‌ها English

Vulnerability
Resilience
Rail Network
Location Problem
Relief Train
-معاونت برنامه­ریزی و اقتصاد حمل­ونقل، راه­آهن جمهوری اسلامی ایران، (شهریور 1397) .سالنامه آماری حمل و نقل ریلی کشور سال 1396. 
-Adjetey-Bahun, K., Planchet, J. L., Birregah, B., and Châtelet, E. (2016). Railway transportation system's resilience: Integration of operating conditions into topological indicators. Paper presented at the Network Operations and Management Symposium (NOMS), IEEE/IFIP.
-Bababeik, M., Khademi, N., Chen, A., and Nasiri, M. M. (2017). Vulnerability Analysis of Railway Networks in Case of Multi-Link Blockage. Transportation Research Procedia, 22, 275-284.
-Berman, O., Drezner, Z., and Krass, D. (2011). Discrete cooperative covering problems. Journal of the Operational Research Society, 62(11), 2002-2012.
-Bhavathrathan, B., and Patil, G. R. (2015). Quantifying resilience using a unique critical cost on road networks subject to recurring capacity disruptions. Transportmetrica A: Transport Science, 11(9), 836-855.­
-Borghetti, F., and Malavasi, G. (2016). Road accessibility model to the rail network in emergency conditions. Journal of Rail Transport Planning & Management, 6(3), 237-254.
-Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O’Rourke, T. D., Reinhorn, A. M., Von Winterfeldt, D. (2003). A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake spectra, 19(4), 733-752.
-Chang, S. E., and Miles, S. B. (2004). The dynamics of recovery: a framework Modeling spatial and economic impacts of disasters, Springer,181-204,
-Chen, L., and Miller-Hooks, E. (2012). Resilience: an indicator of recovery capability in intermodal freight transport. Transportation Science, 46(1), 109-123.
-Council, N. I. A. (2009). Critical infrastructure resilience: Final report and recommendations. National Infrastructure Advisory Council.
-Cox, A., Prager, F., and Rose, A. (2011). Transportation security and the role of resilience: A foundation for operational metrics. Transport policy, 18(2), 307-317.
-Dorbritz, R. (2011). Assessing the resilience of transportation systems in case of large-scale disastrous events. Paper presented at the Environmental Engineering. Proceedings of the International Conference on Environmental Engineering. ICEE.
-Geurs, K. T., and Van Wee, B. (2004). Accessibility evaluation of land-use and transport strategies: review and research directions. Journal of Transport Geography 12(2), 127-140.
-Gilbert, S. W. (2016). Disaster resilience: A guide to the literature. CreateSpace Independent Publishing Platrorm.
-Holling, C. S. (1973). Resilience and stability of ecological systems. Annual review of ecology and systematics, 4(1), 1-23.
-Hollnagel, E., Nemeth, C. P., and Dekker, S. (2008). Resilience engineering perspectives: remaining sensitive to the possibility of failure. Vol. 1, Ashgate Publishing, Ltd.
-Ip, W. H., and Wang, D. (2011). Resilience and friability of transportation networks: evaluation, analysis and optimization. IEEE Systems Journal, 5(2), 189-198.­
-Jenelius, E., Petersen, T., and Mattsson, L.-G. (2006). Importance and exposure in road network vulnerability analysis. Transportation Research Part A: Policy and Practice, 40(7), 537-560.
-Khademi, N., Balaei, B., Shahri, M., Mirzaei, M., Sarrafi, B., Zahabiun, M., and Mohaymany, A. S. (2015). Transportation network vulnerability analysis for the case of a catastrophic earthquake. International Journal of Disaster Risk Reduction, 12, 234-254.
-Kwan, M.-P., and Weber, J. (2008). Scale and accessibility: Implications for the analysis of land use–travel interaction. Applied Geography, 28(2), 110-123.
-Leu, G., Abbass, H., and Curtis, N. (2010). Resilience of ground transportation networks: a case study on Melbourne.
-Litman, T. (2007). Evaluating accessibility for transportation planning.
-Longstaff, P. H., Armstrong, N. J., Perrin, K., Parker, W. M., and Hidek, M. (2010). Building resilient communities: A preliminary framework for assessment.
-Mavrotas, G., and Florios, K. (2013). An improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems. Applied Mathematics and Computation, 219(18), 9652-9669.
-Miles, S. B., and Chang, S. E. (2003). Urban disaster recovery: A framework and simulation model.
-Nagurney, A., and Qiang, Q. (2012). Fragile networks: identifying vulnerabilities and synergies in an uncertain age. International Transactions in Operational Research, 19(1-2), 123-160.­
-Niemeier, D. A. (1997). Accessibility: an evaluation using consumer welfare. Transportation, 24(4), 377-396.­
-Norris, F. H., Stevens, S. P., Pfefferbaum, B., Wyche, K. F., and Pfefferbaum, R. L. (2008). Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness. American journal of community psychology, 41(1-2), 127-150.
-Renschler, C. S., Frazier, A., Arendt, L., Cimellaro, G., Reinhorn, A., and Bruneau, M. (2010). Developing the ‘PEOPLES’resilience framework for defining and measuring disaster resilience at the community scale. Paper presented at the Proceedings of the 9th US National and 10th Canadian Conference on Earthquake Engineering.
-ShangGuan, W., Hu, F., Yuan, M., Cai, B., and Wang, J. (2016). Resilience quantitative evaluation framework and performance improvement for train control system on-board equipment. Paper presented at the Intelligent Transportation Systems (ITSC),  2016 IEEE 19th International Conference on.
-Tierney, K., and Bruneau, M. (2007). Conceptualizing and measuring resilience: A key to disaster loss reduction. TR news (250).