The choice of a particular mode of transport as an alternative to another one is subjective and usually based on an individual passenger’s approach to the evaluation of advantages and disadvantages of some particular means of transport. The paper presents the methods of analysing the reasons for passengers’ choice of travelling by train as an alternative to using air transport and the results obtained in the research. The 16 criteria (sub-criteria), describing the advantages of travelling by rail over air travel, are defined. The data of the survey questionnaire filled by 52 passengers of the Vilnius–Moscow train and the ranks assigned by them to the considered criteria are described. The average ranks of all 16 criteria and their normalized subjective weights are calculated by using a new method of average rank transformation into weight (ARTIW). The average ranks assigned by the passengers of the train to sub-criteria and the calculated global weights show what criteria are most important. Using the inverse hierarchy model based on the sub-criteria weights, the most and the least important groups of criteria are determined. The institutions and companies engaged in passenger transportation by rail, which give priority to improving the services described by the most important criteria, can make this mode of transport more attractive to people.
Kesten AS, Öğüt KS. A new passenger-oriented performance measurement framework for public rail transportation systems. Promet – Traffic & Transportation. 2014;26(4): 299-311. Available from: http://dx.doi.org/10.7307/ptt.v26i4.1314
European Commission. Directorate – General for Mobility and Transport. Roadmap to a Single European Transport Area-Towards a Competitive and Resource-Efficient Transport System. White Paper 2011, 2011.
Lai Y-C (R), Lu C-T, Hsu Y-W. Optimal allocation of life-cycle cost, system reliability, and service reliability in passenger rail system design. Transportation Research Record. 2015;2475: 46-53. Available from: doi:10.3141/2475-06
Surzhin KV, Muktepavel SV. Otsenka vliyaniya faktorov chislennosti naseleniya na ob’em passazhirskikh perevozok. Vestnik VNIIZhT. 2015;4: 59-64. Russian [5] Saidi S, Wirasinghe SC, Kattan L. Rail transit. Exploration with emphasis on networks with ring lines. Transportation Research Record. 2014;2419: 23-32. Available from: doi:10.3141/2419-03
Komisarov AV, Martynova EA, Sokolovsky AV, Samusev RV. Aktual’nye trendy v razvitii kanalov sbyta biletov na poezda dal’nego sledovaniya na primere biznes-napravleniya “Prodamsi” federal’noy passazhirskoy kompanii. Vestnik VNIIZhT. 2014;6: 13-20. Russian
Byun Y-H, Kim J H, Lee J-S. Cone penetrometer with a helical-type outer screw rod for evaluation of the subgrade condition. Journal of Transportation Engineering. 2013;139(2): 115-122. Available from: doi:10.1061/(ASCE)TE.1943-5436.0000504
Gallego I, Muñoz J, Sánchez-Cambronero S, Rivas A. Recommendations for numerical rail substructure modelling considering nonlinear elastic behaviour. Journal of Transportation Engineering. 2013;139(8): 848–858. Available from: http://dx.doi.org.10.1061/(ASCE)TE.1943-5436.00005604
Navikas D, Bulevičius M, Sivilevičius H. Determination and evaluation of railway aggregate sub-ballast gradation and other properties variation. Journal of Civil Engineering and Management. 2016;22(5): 699-710. Available from: doi:10.3846/13923730.2016.1177586
Krakovskiy YM, Nachigin VA, Nachigin AV. Otsenka tekhnicheskogo sostoyanie rel’sov po dannym monitoringa puti. Vestnik VNIIZhT. 2012;5: 40-43. Russian
Xu P, Sun Q, Liu R, Wang F. A short-range prediction model for track quality index. Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit. 2011;225(3): 277-285. Available from: doi:10.1177/2041301710392477
Povilaitienė I, Kamaitis IZ, Podagėlis I. Influence of gauge width on rail side wear on track curves. Journal of Civil Engineering and Management. 2006;11(3): 255-260.
Jokūbaitis A, Valivonis J, Marčiukaitis G. Analysis of strain state and cracking of concrete sleepers. Journal of Civil Engineering and Management. 2016;22(4): 564-572. Available from: doi:10.3846/13923730.2016.1147494
Bai L, Liu R, Sun Q, Wang F, Wang F. Classification-learning-based framework for predicting railway track irregularities. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 2016;230(2): 598-610. Available from: doi:10:1177/0954409714552818
Arasteh Khouy I, Larsson-Kråik P-O, Nissen A, Kumar U. Cost-effective track geometry maintenance limits. Proceeding of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 2016;230(2): 611-622. Available from: doi:10.1177/0954409714542859
Jovanovič S, Božovič D, Tomičič-Torlakovič M. Railway infrastructure condition-monitoring and analysis a basis for maintenance management. Građevinar. 2014;66(4): 347-358. Available from: doi:10.14256/JCE959.2013
Cheng Y-C, Hsu C-T. Hunting stability and derailment analysis of a car model of a railway vehicle system. Proceeding of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 2011;226: 187-202. Available from: doi:10.1177/0954409711407658
Wu X, Chi, M, Gao H, Zhang D, Zeng J, Wu P, Zhu M. The study of post-derailment measures to limit the extent of a derailment. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 2016;230 (1): 64-76. Available from: doi:10.1177/0954409714526586
Ferreira PA, López-Pita A. Numerical modeling of highspeed train/track system to assess track vibrations and settlement prediction. Journal of Transportation Engineering. 2013;139(3): 330-337. Available from: doi:10.1061/(ASCE)TE.1943-5436.0000482
Rusanov OA. Ocenka parametrov ustrojstv pogloshchenija energiy avarijnovo stolknovenija passazhirskovo podvizhnovo sostava s prepiatstviem. Vestnik VNIIZhT. 2014;1: 8-18. Russian
Hsu LR. Cost estimating model for mode choice between light rail and bus rapid transit systems. Journal of Transportation Engineering. 2013;139(1): 20-29. Available from: http://dx.doi.org.10.1061/(ASCE)TE.1943-5436.0000466
Furuya A, Madanat S. Accounting for network effects in railway asset management. Journal of Transportation Engineering. 2013;139(1): 92-100. Available from: http://dx.doi.org.10.1061/(ASCE)TE.1943-5436.0000477
Allard RF, Vilaça e Maura FMM. Optimizing high-speed rail and air transport intermodal passenger network design. Transportation Research Record. 2014;2448: 11-20. Available from: doi:10.3141/2448-02
Pan Q, Pan H, Zhang M, Zhong B. Effects of rail transit on residential property values. Transportation Research Record. 2014;2453: 118-127. Available from: http://dx.doi.org.10.3141/2453-15
Yaghini M, Ahadi HR, Barati E, Saghian Z. Tabu search algorithm for the railroad blocking problem. Journal of Transportation Engineering. 2013;139(2): 216-222. Available from: doi:10.1061/(ASCE)TE.1943-5436.0000447
Li F, Gao Z, Li K, Wang DZW. Train routing model and algorithm combined with train scheduling. Journal of Transportation Engineering. 2013;139(1): 81-91. Available from: doi:10.1061/(ASCE)TE.1943-5436.0000461
Földes D, Csiszár C. Route plan evaluation method for personalised passenger information service. Transport. 2015;30 (3): 273-285. Available from: http://dx.doi.org.10.3846/16484142.2015.1086889
Tolkachyova MM, Pisarevskiy GE, Martynova LA, Lomakina NM. Motyvacija rabotnikov OAO „RZhD“ k vnedreniju inovaciy v korporativnoj sisteme upravlenija povysheniem effektivnosti i kachestva. Problemy i ikh reshenija. Vestnik VNIIZhT. 2014;2: 3-12. Russian
Liao M, Liu G, Qiu TZ. Passenger traffic characteristics of service facilities in rail transit stations of Shanghai. Journal of Transportation Engineering. 2013;139(2): 223-229. Available from: doi:10.1061/(ASCE)TE.1943-5436.0000481
Liao M, Liu G. Modelling passenger behaviour in non-payment areas at rail transit stations. Transportation Research Record. 2015;2534: 101-108. Available from: doi:10.3141/2534-13
Chow W, Schachter-Block D, Hickey S. Impacts of real-time passenger information signs in rail stations at the Massachusetts bay transportation authority. Transportation Research Record. 2014;2419: 1-10. Available from: http://dx.doi.org.10.3141/2419-01
Nagy E, Csiszár C. Analysis of delay causes in railway passenger transportation. Periodica Politechnica Transportation Engineering. 2015;43(2): 73-80. Available from: doi:10.3311/PPtr.7539
Makarova EA, Sokolovsky AV. Metodika analyticheskih issledovanij dla opredelenija celesobraznosti vvoda v obraschenie passazhirskih poezdov s zhostkoj schemoj sostava. Vestnik VNIIZhT. 2014;4: 33-38. Russian
Ballard S-B, Osario VB. U.S. Civil air show crashes, 1993 to 2013. Burden, fatal risk factors, and evaluation of a risk index for aviation crashes. Transportation Research Record. 2015;2471: 1-9. Available from: doi:10.3141/2471-01
Madanu SK, Mattingly SP, Kam KA, Ardekani SA. Integrated fuzzy technique for order preference by similarity to ideal solution framework for evaluating high-speed passenger rail corridor alternatives. Transportation Research Record. 2015;2499: 1-19. Available from: doi:10.3141/2499-01
Vitić-Ćetković A, Bauk S. E-services and positioning of passenger ports in the context of cruise tourism promotion. Promet – Traffic & Transportation. 2014;26(1): 83-93. Available from: http://dx.doi.org/10.7307/ptt.v26i1.1282
Podvezko V, Sivilevičius H. The use of AHP and rank correlation methods for determining the significance of the interaction between the elements of a transport system having a strong influence on traffic safety. Transport. 2013;28(4): 389-403. Available from: doi:10.3846/16484142.2013.866980
Sivilevičius H, Maskeliūnaitė L. The criteria for identifying the quality of passengers’ transportation by railway and their ranking using AHP method. Transport. 2010;25(4): 368-381. Available from: doi: 10.3846/transport.2010.46
Maskeliūnaitė L, Sivilevičius H. The model for evaluating the criteria describing the quality of the trip by international train. Technological and Economic Development of Economy. 2014;20(3): 484-506. Available from: http://dx.doi.org.10.3846/20294913.2014.949333
Sivilevičius H, Maskeliūnaitė L. The numerical example for evaluating the criteria describing the quality of the trip by international train. E+M Economics and Management = Ekonomie a Management. 2014;17(2): 73-86. Available from: http://dx.doi.org.10.15240/tul/001/2014-2-006/1648
Zavadskas EK, Podvezko V. Integrated determination of objective criteria weights in MCDM. International Journal of Information Technology & Decision Making. 2016;15(2): 267-283. Available from: doi: 10.1142/S0219622016500036
Saaty TL. The Analytic Hierarchy Process. New York: Mc-Graw-Hill; 1980.
Saaty TL. How to make a decision: the analytic hierarchy process. European Journal of Operational Research. 1990;48(1990): 9-26.
Saaty TL, Vargas LG. Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. Second edition. New York: Springer; 2012.
Kendall ME. Rank Correlation Methods. 4th ed. London: Griffin and Co.; 1970.
Kendall M, Gibbons JD. Rank Correlation Methods. London: Edvard Arnold; 1990.
Podvezko V. Determining the level of agreement of expert estimates. Technological and Economic Development of Economy [Ūkio technologinis ir ekonominis vystymas]. 2005;11(2): 101-107.
Montgomery DC. Statistical Quality Control: A Modern Introduction. 7th ed. Arizona: John Wiley & Sons, Inc.; 2013.
Saaty TL, Ozdemir MS. Why the magic number seven plus or minus two. Mathematical and Computer Modelling. 2003;38: 233-244. Available from: doi: 10.1016/S0895-7177(03)00216-4
Sivilevičius H. Application of expert evaluation method to determine the importance of operating asphalt mixing plant quality criteria and rank correlation. The Baltic Journal of Road and Bridge Engineering. 2011;6(1): 48-58. Available from: http://dx.doi.org.10.3846/bjrbe.2011.07.
Sun C-C. A novel approach for evaluating TFT-LCD manufacturer opreatioal performance. Journal of Testing and Evaluation. 2016;44(3): 1421-1429. Available from: doi:10.1520/JTE20140040.ISSN 0090-3973
[Chen S, Hung H-F. Formative measurement test of supplier evaluation indicators and weight models. Journal of Testing and Evaluation. 2016;44(3): 1350-1363. Available from: doi:10.1520/JTE20140426.ISSN0090-3913
Saaty TL, Shang JS. An innovative orders of-magnitude approach to AHP-based multi-criteria decision making: Prioritizing divergent intangible humane acts. European Journal of Operational Research. 2011;214: 703-715. Available from: doi:10.1016/j.ejor.2011.05.019
Gudienė N, Banaitis A, Podvezko V, Banaitienė N. Identification and evaluation of the critical success factors for construction projects in Lithuania: AHP approach. Journal of Civil Engineering and Management. 2014;20(3): 350-359. Available from: doi:10.3846/13923730.2014.914082
Chang S-C, Tsai P-H. A hybrid financial performance evaluation model for wealth management banks following the global financial crisis. Technological and Economic Development of Economy. 2016;22(1): 21-46. Available from: doi:10.3846/20294913.2014.986771
Beiler MO, Waksmunski E. Measuring the sustainability of shared-use paths: development of the Green Paths rating system. Journal of Transportation Engineering. 2015;141(11): 04015026-1-10. Available from: doi:10.1061/(ASCE)TE.1943-5436.0000796
Rabbani A, Zamani M, Yardani-Chamzini A, Zavadskas EK. Proposing a new integrated model based on balanced scorecard (SBSC) and MCDM approaches by using linguistic variables for the performance evaluation of oil producing companies. Expert Systems with Applications. 2014;41: 7316-7327. Available from: http://dx.doi.org/10.1016/j.eswa.2014.05.023
Guest Editor: Eleonora Papadimitriou, PhD
Editors: Dario Babić, PhD; Marko Matulin, PhD; Marko Ševrović, PhD.
Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal