Assessment of options to meet transport needs using the MAJA multi-criteria method

Authors

  • Jerzy Małachowski Faculty of Mechanical Engineering, Military University of Technology Author
  • Jarosław Ziółkowski Faculty of Mechanical Engineering, Military University of Technology Author
  • Mateusz Oszczypała Faculty of Mechanical Engineering, Military University of Technology Author
  • Joanna Szkutnik-Rogoż Faculty of Mechanical Engineering, Military University of Technology Author
  • Aleksandra Lęgas Faculty of Mechanical Engineering, Military University of Technology Author

DOI:

https://doi.org/10.5604/01.3001.0014.7482

Keywords:

transport, multi-criteria method, transport costs, optimization, decision problem

Abstract

The problem of choosing the way to move people is often encountered both in scientific research and in everyday life. The difficulty of this process depends on the availability of many variants and the pursuit of satisfying transport needs at the minimum cost, in the shortest possible time and in the most comfortable conditions. The publication presents a decision problem of choosing the best transport option using multi-criteria methods. At the beginning authors presented the widely used methods of solving decision problems in the literature. Subsequently, based on the example of the Warsaw-Wroclaw connection, the MAJA multi-criteria assessment method algorithm was analysed. Both road, rail and air transport options were considered. Six possible variants of solutions were indicated, which were assessed in three sub-criteria: cost, time and comfort of travel. Then, the results of the analysis were compared with the results obtained using other multi-criteria decision-making support methods, i.e. ELECTRE I, AHP, TOPSIS, PROMETHEE, SAW, PVM. The considered methods were divided according to the way the result was presented, as a result of which the methods based on the relation of superiority (which included the MAJA method) and methods using ranking were distinguished, and then an intra-group comparison was made. On the basis of the constructed compliance matrix of the relation of superiority, it was found that domination methods exhibited convergence of the obtained results. However, in order to compare the convergence of the results of the ranking methods, the Spearman's linear correlation coefficient was used. The applied MAJA multi-criteria method has made it possible to determine non-dominated solutions considered optimal taking into account the adopted weights of criteria and compliance and non-compliance thresholds. Its unquestionable advantage is the possibility of using many partial criteria expressed in different measurement units. In the presented example, the best options were the premium express rail transport and airplane. The summary defines the direction of further research and possibilities of modification of the presented method.

References

AHMADI, H.B., LO, H.-W., GUPTA, H., KUSI-SARPONG, S., LIOU, J.J.H., 2020. An integrated model for selecting suppliers on the basis of sustainability innovation. Journal of Cleaner Production, 277, 123261. https://doi.org/10.1016/j.jclepro.2020.123261.

ANDRZEJCZAK, K., SELECH, J., 2017. Quantile analysis of the operating costs of the public transport fleet. Transport Problems, 12(3), 103–111. https://doi.org/10.20858/tp.2017.12.3.10.

AYYILDIZ, E., TASKIN GUMUS, A., 2020. A novel spherical fuzzy AHP-integrated spherical WASPAS methodology for petrol station location selection problem: A real case study for İstanbul. Environmental Science and Pollution Research, 27(29), 36109–36120. Scopus. https://doi.org/10.1007/s11356-020-09640-0.

BOJKOVIĆ, N., ANIĆ, I., PEJČIĆ-TARLE, S., 2010. One solution for cross-country transport-sustainability evaluation using a modified ELECTRE method. Ecological Economics, 69(5), 1176–1186. https://doi.org/10.1016/j.ecolecon.2010.01.006.

DONG, Y., ZHANG, G., HONG, W.C., XU, Y., 2010. Consensus models for AHP group decision making under row geometric mean prioritization method. Decision Support Systems, 49(3), 281–289.

DUDEK, M., SOLECKA, K., RICHTER, M., 2018. A multi-criteria appraisal of the selection of means of urban passenger transport using the Electre and AHP methods. Technical Transactions, 6(79-93). https://doi.org/10.4467/2353737XCT.18.088.8693.

HENDRAWAN, J., RALAHALU, F.N., SOUMOKIL, R.P., SANGADJI, M., KEMBAUW, E., SOEGIJONO, S.P., 2020. Decision support system for determine life-day transportation. International Journal of Advanced Science and Technology, 29(5), 126–132.

HWANG, C.-L., MASUD, A. S., 1979. Multiple Objective Decision Making. Springer.

IZDEBSKI, M., JACYNA-GOŁDA, I., GOŁĘBIOWSKI, P., PLANDOR, J., 2020. The Optimization Tool Supporting Supply Chain Management in the Multi-Criteria Approach. Archives of Civil Engineering, 66(3), 505–524. https://doi.org/10.24425/ace.2020.134410.

IZDEBSKI, M., JACYNA-GOŁDA, I., GOŁĘBIOWSKI, P., PYZA, D., ŻAK, J., 2020. Decision problems in designing database architecture for the assessment of logistics services. Zeszyty Naukowe. Transport - Politechnika Śląska, 108, 53–71. https://doi.org/10.20858 /sjsutst.2020.108.6.

JACYNA, M., 1998. Some aspects of multicriteria evaluation of traffic flow distribution in a multimodal transport corridor. Archives of Transport, Vol. 10, iss.1–2, 37–52.

JACYNA, M., IZDEBSKI, M., SZCZEPAŃSKI, E., GOŁDA, P., 2018. The task assignment of vehicles for a production company. Symmetry, 10(11). https://doi.org/10.3390 /sym10110551.

JACYNA, M., SEMENOV, I., 2020. Models of vehicle service system supply under information uncertainty. Eksploatacja i Niezawodnosc, 22(4), 694–704. https://doi.org/ 10.17531/ein.2020.4.13.

JACYNA, M., 2006. The Multiobjective Optimisation to Evaluation of the Infrastructure Adjustment to Transport Needs. In K. G. Goulias (Ed.), Transport Science and Technology, 395-405. Emerald Group Publishing Limited. https://doi.org/10.1108/9780080467542-031.

JACYNA, M., 2008. The Modeling of the External Cost Influence on the Modal Split in the Transport Network. 2008 19th International Conference on Systems Engineering, 453–457. https://doi.org/10.1109/ICSEng.2008.68.

JACYNA, M., WASIAK, M., 2015. Multicriteria Decision Support in Designing Transport Systems. 11–23.

JACYNA-GOŁDA, I., GOŁĘBIOWSKI, P., IZDEBSKI, M., KŁODAWSKI, M., JACHIMOWSKI, R., SZCZEPAŃSKI, E., 2017. The evaluation of the sustainable transport system development with the scenario analyses procedure. Journal of Vibroengineering, 19(7), 5627–5638. https://doi.org/10.21595/jve.2017. 19275.

KAHRAMAN, C., 2008. Fuzzy multi-criteria decision making. Springer.

KANNCHEN, M., ZIEMBA, P., BORAWSKI, M., 2019. Use of the PVM Method Computed in Vector Space of Increments in Decision Aid-ing Related to Urban Development. Symmetry, 11(4), 446. https://doi.org/10.3390/sym11040 446.

KAYA, Ö., ALEMDAR, K.D., ÇODUR, M.Y., 2020. A novel two stage approach for electric taxis charging station site selection. Sustainable Cities and Society, 62. https://doi.org /10.1016/j.scs.2020.102396.

KICIŃSKI, M., SOLECKA, K., 2018. Applica-tion of MCDA/MCDM methods for integrated urban public transportation system - Case study, city of Cracow. Archives of Transport, 46(2), 71–84. https://doi.org/10.5604/01.3001. 0012.2107.

KIRACI, K., AKAN, E., 2020. Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets. Journal of Air Transport Management, 89. https://doi.org/10.1016/j.jairtraman.2020.101924.

KISELEVA, E.V., PERMYAKOVA, O.G., GAVRIUSHKOV, E.N., 2020. The influence of the Subjective Preference Vector of the Transport Service Customer on the Selection of the International Transportation Organization Option. IOP Conference Series: Earth and Environmental Science, 459, 042055. https:// doi.org/10.1088/1755-1315/459/4/042055.

LELEŃ, P., WASIAK, M., 2019. The model of selecting multimodal technologies for the transport of perishable products. Archives of Transport, 50(2), 17–33. https://doi.org/10. 5604/01.3001.0013.5573.

LEWANDOWSKA, A., BRANOWSKI, B., JOACHIMIAK-LECHMAN, K., KURCZEW-SKI, P., SELECH, J., ZABLOCKI, M., 2017. Sustainable Design: A Case of Environmental and Cost Life Cycle Assessment of a Kitchen Designed for Seniors and Disabled People. Sustainability, 9(8), 1329–1348. https:// doi.org/10.3390/su9081329.

LIN, P.-P., LI, D.-F., JIANG, B.-Q., YU, G.-F., WEI, A.-P., 2020. Evaluating the comprehensive impacts of tourism in Hainan by intergrating input-output model with MCDM methods. Technological and Economic Development of Economy, 26(5), 989–1029. https://doi.org/ 10.3846/tede.2020.12706.

MŁYNARSKI, S., PILCH, R., SMOLNIK, M., SZYBKA, J., 2018. Methodology of network systems reliability assessment on the example of urban transport. Maintenance and Reliability, 2(20), 278–283.

ORMAN, A., DÜZKAYA, H., ULVİ, H., AK-DEMİR, F., 2018. Multi-Criteria Evaluation by Means of Using the Analytic Hierarchy Process in Transportation Master Plans: Scenario Selection in the Transportation Master Plan of Ankara. Journal of Science, 31(2), 381–397.

PYZA, D., 2010. Multicriteria Evaluation of Designing Transportation System within Distribution Sub-Systems. Logistics and Transport, 10(1), 25–34.

SAATY, T.L., 1990. How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48(1), 9–26.

SANGIORGIO, V., MANGINI, A.M., PRECCHIAZZI, I., 2020. A new index to evaluate the safety performance level of railway transportation systems. Safety Science, 131. https://doi.org/10.1016/j.ssci.2020.104921.

SARRAF, R., MCGUIRE, M.P., 2020. Integration and comparison of multi-criteria decision making methods in safe route planner. Expert Systems with Applications, 154, 113399. https://doi.org/10.1016/j.eswa.2020.113399.

SENDEK-MATYSIAK, E., 201. Multi-criteria analysis and expert assessment of vehicles with different drive types regarding their functionality and environmental impact. Scientific Journal of Silesian University of Technology, 102, 185–195. https://doi.org/10.20858/sjsutst. 2019.102.15.

SENDEK-MATYSIAK, E., PYZA, D., 201. The assigment of vehicle assesment based on multi criteria decision making. Archives of Transport, 48(4), 77–85. https://doi.org/10. 5604/01.3001.0012.8367.

SRINIVAS, N., DEB, K., 1994. Multiobjective function optimization using nondominated sorting genetic algorithms. Evolutionary Computation, 2(3), 221–248.

SUN, C., CHEN, X., ZHANG, M.H., HUANG, Z., 2018. An Evaluation Method of Urban Public Transport Facilities Resource Supply Based on Accessibility. Journal of Advanced Transportation, 2018, 1–11. https://doi.org/10.1155 /2018/3754205.

ŚWIDERSKI, A., JÓŹWIAK, A., JACHIMOWSKI, R., 2018. Operational quality measures of vehicles applied for the transport services evaluation using artificial neural networks. Eksploatacja i Niezawodnosc, 20(2), 292–299. https://doi.org/10.17531/ein.2018.2.16.

VIDAL, L.-A., SAHIN, E., MARTELLI, N., BERHOUNE, M., BONAN, B., 2010. Applying AHP to select drugs to be produced by anticipation in a chemotherapy compounding unit. Expert Systems with Applications, 37(2), 1528–1534.

WANG, Y.-J., 2019. Interval-valued fuzzy multi-criteria decision-making based on simple additive weighting and relative preference relation. Information Sciences, 503, 319–335. Scopus. https://doi.org/10.1016/j.ins.2019.07.012.

WASIAK, M., JACYNA, M., LEWCZUK, K., SZCZEPAŃSKI, E., 2017. The method for evaluation of efficiency of the concept of centrally managed distribution in cities. Transport, 32(4), 348–357. https://doi.org/10.3846/1648 4142.2017.1345005.

WĄTRÓBSKI, J., JANKOWSKI, J., ZIEMBA, P., KARCZMARCZYK, A., ZIOŁO, M., 2019. Generalised framework for multi-criteria method selection. Omega, 86, https://doi.org/10.1016/j.omega. 2018.07.004.

WEI, C., CHIEN, C., WANG, M.J., 2005. An AHP-based approach to ERP system selection. International Journal of Production Economics, 96(1), 47–62.

WU, C., PEI, Y., GAO, J., 2015. Model for Estimation Urban Transportation Supply-Demand Ratio. Mathematical Problems in Engineering, 2015, 1–12. https://doi.org/10.1155/ 2015/502739.

WU, J., CHUNG, A.C.S., 2005. Cross entropy: A new solver for Markov random field modeling and applications to medical image segmentation. Proceedings of the on Medical Image Computing and Computer-Assisted Intervention (MICCAI ’05), 3749, 229–237.

YANNIS, G., KOPSACHEILI, A., DRAGO-MANOVITS, A., PETRAKI, V., 2020. State-of-the-art review on multi-criteria decision-making in the transport sector. Journal of Traffic and Transportation Engineering (English Edition), 7(4), 413–431. https://doi.org/10.1016/j.jtte.2020.05.005.

ZIEJA, M., ZIÓŁKOWSKI, J., OSZCZY-PAŁA, M., 2019. Comparative analysis of available options for satisfying transport needs including costs. Proceedings of 23rd International Scientific Conference Part 3, 1433–1438.

ZIÓŁKOWSKI, J., ZIEJA, M., OSZCZYPAŁA, M., 2019. Forecasting of the traffic flow distribution in the transport network. Proceedings of 23rd International Scientific Conference Part 3, 1476–1480.

ŻUREK, J., MACHAŁOWSKI, J., ZIÓŁKOWSKI, J., SZKUTNIK-ROGOŻ, J., 2020. Reliability Analysis of Technical Means of Transport. Applied Sciences, 9(10), 1–17. https://doi.org/10.3390/app10093016.

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Published

2021-03-31

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Original articles

How to Cite

Małachowski, J., Ziółkowski, J., Oszczypała, M., Szkutnik-Rogoż, J., & Lęgas, A. (2021). Assessment of options to meet transport needs using the MAJA multi-criteria method. Archives of Transport, 57(1), 25-41. https://doi.org/10.5604/01.3001.0014.7482

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