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Issues on Vulnerability of Passenger Transportation System

networks: a dynamic approach and case study for Stockholm, W: Proceedings of the 5 th International Symposium on Transportation Network Reliability (INSTR2012), 2012, pp.535–544. [5] Cats O., Jenelius E.: Dynamic vulnerability analysis of public transport networks: mitigation effects of real-time information, Networks and Spatial Economics, 14, 2014, pp. 435-463. [6] El-Rashidy R. A., Grant-Muller S. M.: An assessment method for highway network vulnerability, Journal of Transport Geography, 34, 2014, pp. 34-43. [7] Erath A., Birdsall J., Axhausen K. W

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Statistical Methods for Solving Transportation Problems

References [1] Babos A., Baboș Alexandru, Determination of an optimal plan for supplying an infantry battalion in combat conditions , The 22th International Conferince The Knowledge-Based Organization, “Nicolae Bălcescu” Land Forces Academy, Sibiu, 96-104, (2016). [2] Hitchcock, F. L, The distribution of a product from several sources to numerous localities , Journal of Mathematical Physics, 224-230, (1941). [3] Basher Faisal M., Obaid Mahmmood M.A., Altaiyb Omer A.M, Statistical method for solving transportation problemes of using the

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Groupage Cargo Transportation Model

.V., Leonov, A.S., and Yagola, A.G. (1973) A generalized residual principle. Computational Mathematics and Mathematical Physics , 13(2), pp. 294-302. 8. Kang, M.H., Choi, H.R., Kim, H.S., and Park, B.J. (2012) Development of a maritime transportation planning support system for car carriers based on genetic algorithm. Applied Intelligence , 36(3), pp. 585-604. 9. Liotta, G., Stecca, G., and Kaihara, T. (2015) Optimisation of freight flows and sourcing in sustainable production and transportation networks. International Journal of Production Economics , 164

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Eliminating transportation waste using the transportation value stream map

. Journal of Cleaner Production 85, 104-179 Chen, J. C., Cheng, C. H., & Huang, P. B. (2013). Supply chain management with leanproduction and RFID application: A case study. Expert Systems with Applications, 40(9), 3389-3397. Cerasis, (2017). The most impactful Supply Chain Logistics trends in 2017. http://cerasis.com Cerasis, (2017). How to shift from tactical to strategic logistic& transportation management to create a competitive advantage. www.cerasis.com Cortez, H., Daaboul, J., Duigou, J. & Eynard, B

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Analysis of Transportation Selection for Travel Work

References [1] Tamin O.Z. (2003), Perencanaan dan Pemodelan Transportasi, Penerbit ITB Bandung. [2] Sugiyono. (2012). Metode Penelitian Kuantitatif & Kualitatif. Bandung, Indonesia: Alfabeta. [3] Kuncoro, M. (2014). Metode Riset untuk Bisnis dan Ekonomi, 4 th edition, Jakarta, Indonesia: Erlangga. [4] Nasution, A.A., Azmi, Z., Siregar, I. & Erlina, I. (2018). Impact of air transport on the Indonesian economy. MATEC Web of Conferences. 236. DOI: 10.1051/matecconf/. [5] Engebrethsen, E. & Dauzère-Pérès, S. (2019). Transportation mode

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Risk and Damage Assessment for Transportation of Dangerous Freight

References 1. Basic figures on the EU. Summer 2016 edition. EUROSTAT. Available from Internet: http://epp.eurostat.ec.europa.eu/cache/ITY_OFFPUB/KS-GL-13-002/EN/KS-GL-13-002-EN.PDF 2. Batarlienė, N. (2008) Risk analysis and assessment for transportation of dangerous freight. Transport. Vilnius: Technika. ISSN 1648-4142. Vol. 23, no. 2 (2008), p. 98-103. 3. Blanco M.A. (2011) Safety adviser for the transport of dangerous goods by road, Seguridad sy medio ambiente 123. Available from Internet: http

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Liquid Moisture Transportation Properties of Functional Underwears: Part 1

behavior of textiles by the combination of a horizontal wicking experiment and image processing,” Rev. Sci. Instrum., vol. 77, no. 9, p. 93502, 2006. [11] X.-Y. Jiang, X.-H. Zhou, M. Weng, J.-J. Zheng, and Y.-X. Jiang, “Image processing techniques and its application in water transportation through fabrics,” J. Fiber Bioeng. Informatics, vol. 3, no. 2, pp. 88–93, 2010. [12] E. Öner, H. G. Atasağun, A. Okur, A. R. Beden, and G. Durur, “Evaluation of moisture management properties on knitted fabrics,” vol. 5000, no. August, 2016. [13] Q. Chen, J. tu Fan

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Tourist Transportation Generated Carbon Dioxide (CO2) Emissions in Latvia

R eferences [1] International Council on Clean Transportation. Global Transportation Energy and Climate Roadmap. The impact of transportation policies and their potential to reduce oil consumption and greenhouse gas emissions. ICCT, 2012. [2] EUROSTAT. 62% of EU residents made at least one personal trip in 2017. Tourism statistics [Online]. [Accessed 25.02.2019]. Available: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Tourism_statistics [3] Gössling S., Buckley R. Carbon labels in tourism: Persuasive communication

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Bi-Level Model for Public Rail Transportation under Incomplete Data

-045-5, MR 0079251 13. Gomory, R. E., T. C. H u. Multi-Terminal Network Flows. – Journal of the Society for Industrial and Applied Mathematics, Vol. 9 , December 1961, No 4, pp. 551-570. 14. Harris, T. E., F. S. Ross. Fundamentals of a Method for Evaluating Rail Net Capacities. (U), RM-1 573, 24 October, 1955. 15. Ho, H. W., S. C. Wong. Housing Allocation Problem in a Continuum Transportation System. – Transportmetrica, Vol. 3 , 2007, No 1, pp. 21-39. 16. Kalashnikov, V., S. Dempe, G. A. Pérez-Valdés, N. Kalashnykova, J. F. Camacho

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Methodology of Selection of Heavy and Oversized Freight Transportation System

References 1. Abulizi, N., Kawamura, A., Tomiyama, K., Fujita, S. (2016) Measuring and evaluating of road roughness conditions with a compact road profiler and ArcGIS. Journal of Traffic and Transportation Engineering , 3(5), 398–411. doi:10.1016/j.jtte.2016.09.004 2. Andrés, L., Padilla, E. (2015) Energy intensity in road freight transport of heavy goods vehicles in Spain. Energy Policy , 85, 309–321. doi:10.1016/j.enpol.2015.06.018 3. Armstrong, M., Taylor, J. Regional Economics and Policy . Wiley-Blackwell; 2000. 448 p. 4. Bartuška

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