Research of effectiveness of unimodal and multimodal transportation involving land kinds of transport

Authors

DOI:

https://doi.org/10.15587/1729-4061.2017.112356

Keywords:

unimodal transportation, multimodal transportation, delivery time, stochastic process, extreme experiment

Abstract

Modeling of a delivery system, which renders services of international material supply, usually is performed from the positions of the deterministic approach. This allows us to determine clearly the scope of effective use of transport technologies, which in practice can give a negative result. In connection with this, the probabilistic-statistical approach to simulation of cargo delivery time at unimodal and multimodal transportation was proposed in this research. To account for all possible conditions of delivery, factor space was constructed based on the route Ukraine – Italy and a plan for an extreme experiment was developed. Replication of experiments within each series was performed through simulation of such random processes as vehicles’ arrival at the border checkpoint, changes in technical motion speed of a vehicle and time of transportation request placement. As a result, regression models of estimation of cargo delivery time on delivery condition "just in time". They represent additive functions by the following parameters: downtime at a border checkpoint, delivery distance (for unimodal transportation), and supply distance, dispatch distance and section speed of a train (for multimodal transportation). They served as the basis for determining of effectiveness of application of unimodal and multimodal services on example of route Ukraine – Italy. It was found that when performing delivery by the unimodal option, rolling stock turnover on the route increases up to 47 per cent. In this case, if the pessimistic scenario of the supply system functioning is taken into consideration, efficiency of application of the multimodal transportation option approaches that of the unimodal. While taking into account hour indicators of the delivery process, expediency of application of the unimodal transportation option, based on heavy motor trains, becomes apparent. This refutes common opinions about economically reasonable expediency of application of motor transport as the main transport at the distance of up to 500 kilometers

Author Biographies

Alexander Rossolov, О. М. Beketov National University of Urban Economy in Kharkiv Marshala Bazhanova str., 17, Kharkiv, Ukraine, 61002

PhD, Associate Professor

Department of Transport Systems and Logistics

Denis Kopytkov, Kharkiv National Automobile and Highway University Yaroslava Mudroho str., 25, Kharkiv, Ukraine, 61002

PhD, Associate Professor

Department of Transport Technologies

Yevhen Kush, О. М. Beketov National University of Urban Economy in Kharkiv Marshala Bazhanova str., 17, Kharkiv, Ukraine, 61002

PhD, Associate Professor

Department of transport systems and logistics

Viktoriia Zadorozhna, Privately Owned Enterprise «Vidavnychiy budinok «Perlina» 23 Serpnya lane, 10, Kharkiv, Ukraine, 61018

Logistics Manager 

References

Naumov, V., Omelchenko, T. (2017). Model of the Delivery Routes Forming Process as a Service Provided by Forwarding Companies. Procedia Engineering, 187, 167–172. doi: 10.1016/j.proeng.2017.04.362

García, J., Torralba, álvaro, García-Olaya, ángel, Flórez, J. E., Borrajo, D. (2012). Solving Multi-modal and Uni-modal Transportation Problems through TIMIPlan. IFAC Proceedings Volumes, 45 (24), 203–208. doi: 10.3182/20120912-3-bg-2031.00041

Hlayel, A. A. (2012). Solving Transportation Problems Using the Best Candidates Method. Computer Science & Engineering: An International Journal, 2 (5), 23–30. doi: 10.5121/cseij.2012.2503

Bondarev, S. I. (2012). Perfection of timing methodology of loads delivery at international autotransportations. Technology audit and production reserves, 5 (1 (7)), 49–50. doi: 10.15587/2312-8372.2012.4809

Bhusiri, N., Qureshi, A. G., Taniguchi, E. (2014). Application of the Just-In-Time Concept in Urban Freight Transport. Procedia – Social and Behavioral Sciences, 125, 171–185. doi: 10.1016/j.sbspro.2014.01.1465

Hsu, S. C. (2012). A Preliminary Study of Just-in-Time Methods for a Seamless Public Transportation Information Framework. Intelligent Information Management, 04 (01), 1–5. doi: 10.4236/iim.2012.41001

Lukinskiy, V. S. (2012). Modelirovanie vremennyh sostavlyayushchih avtomobil'nyh perevozok pri realizatsii tekhnologii «tochno v srok». Sovremennye problemy nauki i obrazovaniya, 3.

Bosov, A., Khalipova, N. (2017). Formation of separate optimization models for the analysis of transportation-logistics systems. Eastern-European Journal of Enterprise Technologies, 3 (3 (87)), 11–20. doi: 10.15587/1729-4061.2017.103220

Naumov, V., Nagornyi, I., Litvinova, Y. (2015). Model of multimodal transport node functioning. Archives of Transport, 36 (4), 43–54. doi: 10.5604/08669546.1185202

Pavlenko, O., Velykodnyi, D. (2017). The choice of rational technology of delivery of grain cargoes in the containers in the international traffic. International Journal for Traffic and Transport Engineering, 7 (2), 164–176. doi: 10.7708/ijtte.2017.7(2).02

Florez, J. E., Arias de Reyna, A. T., Garcıa, J., Lopez, C. L., Garcıa-Olaya, A., Borrajo, D. (2011). Planning multi-modal transportation problems. Proceedings of the twenty-first international conference on automated planning and scheduling, 66–73.

Patel, R. G., Bhathawala, P. H. (2014). The new global approach to a transportation problem. International journal of engineering technology, 2 (3), 109–113.

Lukinskiy, V. S., Shul'zhenko, T. G., Sokolov, K. A. (2011). Modeli i metody intermodal'noy transportnoy logistiki: sovremennoe sostoyanie i perspektivy razvitiya. Imitatsionnoe i kompleksnoe modelirovanie morskoy tekhniki i morskih transportnyh sistem: Sbornik dokladov mezhdunarodnoy nauchno-prakticheskoy konferentsii IKM MTMTS 2011, 77–82.

Kush, Ye. I., Skrypin, V. S. (2016). Formuvannia tsilovoi funktsyi optymizatsyi vytrat lohistychnoho protsesu. Zbirnyk naukovykh prats ukrainskoi derzhavnoi akademii zaliznychnoho transportu, 165, 49–59.

Min'ko, A. A. (2004). Statisticheskiy analiz v MS Excel. Kyiv: Dialektika, 448.

Mitropol'skiy, A. K. (1971). Tekhnika statisticheskih vychisleniy. Moscow: Nauka, 578.

Galushko, V. G. (1976). Veroyatnostno-statisticheskie metody na avtotransporte. Kyiv: Vishcha shkola, 232.

Nakaz No. 317 vid 26.03.2009 Pro zatverdzhennia Zbirnyka taryfiv na perevezennia vantazhiv zaliznychnym transportom u mezhakh Ukrainy ta poviazani z nymy posluhy ta Koefitsiientiv, shcho zastosovuiutsia do Zbirnyka taryfiv na perevezennia vantazhiv zaliznychnym transportom u mezhakh Ukrainy ta poviazani z nymy posluhy (2009). Verkhovna Rada Ukrainy. Kyiv: Parlam. vyd-vo, 176. Available at: http://zakon3.rada.gov.ua/laws/show/z0340-09

Sposób ustalania szacunkowego czasu oczekiwania. Available at: http://www.granica.gov.pl

Nalimov, V. V. (1971). Teoriya eksperimenta. Moscow: Nauka, 208.

Published

2017-10-25

How to Cite

Rossolov, A., Kopytkov, D., Kush, Y., & Zadorozhna, V. (2017). Research of effectiveness of unimodal and multimodal transportation involving land kinds of transport. Eastern-European Journal of Enterprise Technologies, 5(3 (89), 60–69. https://doi.org/10.15587/1729-4061.2017.112356

Issue

Section

Control processes