Method Used to Study Passenger Traffic Flows at the Network-Wide and Regional Levels of the Railway Traffic Management Complex

The paper tackles methodological approaches to determination of traffic demand development trends on the main routes of the JSC RZD network as well as principles of railway lines classification on the basis of long-distance traffic volume dynamics. The classification procedure employs algorithms of analytic passenger traffic flow investigations based on the up-to-date techniques of mathematical statistics and marketing analysis, as well as criteria and order of the JSC RZD network routes classification suppotring their prioritization in the context of infrastructure development. Long-distance passenger traffic volumes, forecasted continuity of traffic demand evolution, seasonal factors and competitiveness degree of passenger traffic flow routes were adopted as criteria of railway lines” multidimentional classification. Objects of classification involved in route formation are individual stations and groups of stations entering railway junctions, urban communities, constituent territories of the Russian Federation and individual railways as well as territorial station clusters entering megacities, resort areas and airport adjacent territories. Analytic base has been developed relying on collection and systematization of actual passenger traffic flow data of individual JSC RZD network routes for the years 2006 - 2014 and corresponding actual data related to competitive air transport. Methodical ware developed by the authors serves as analytic base, supporting rationalization processes dealing with the system of railway passenger services and generation of route network on the basis of actual passenger correspondences and long-term variation trends.

passenger traffic, long-distance service, classification of railway routes, classification criteria of passenger traffic flows

1. Makarova E. A. Printsipy postroeniya analiticheskoy otchetnosti dlya passazhirskogo kompleksa OAO “RZhD” na baze ASU “Ekspress” [Principles of analytical reporting for passenger complex JSC “Russian Railways” on the basis of ACS “Express”]. Zheleznodorozhnyy transport na sovremennom etape razvitiya: sb. tr. uchenykh k 70‑letiyu aspirantury [Railway transport at the present stage of development: Coll. pap. of scientists for the 70th anniversary of the postgraduate school]. Moscow, VMG-Print Publ., 2014, pp. 29 – 35.

2. Makarova E. A., Surzhin K. V., Piunov A. G., Sokolovskiy A. V. Klassifikatsiya passazhiropotokov na baze ASU “Ekspress” dlya opredeleniya transportnoy podvizhnosti mezhdu regionami Rossiyskoy Federatsii [MIS “Express” based passenger flows classification aimed at determination of interregional travel behavior in the Russian Federation]. Vestnik VNIIZhT [Vestnik of the Railway Research Institute], 2015, no. 3, pp. 42 – 47.

3. Jajuga K., Walesiak M. Standardisation of data set under different measurement scales. Decker R., Gaul W., eds. Classification and information processing at the turn of the millennium. Berlin, Heidelberg; Springer-Verlag Publ., 2000, pp. 105 – 112.

4. Amel’kin S. A., Zakharov A. V., Khachumov V. M. Obobshchennoe rasstoyanie Evklida — Makhalanobisa i ego svoystva [Generalized Euclidean — Mahalanobis distance and its properties]. Informatsionnye tekhnologii i vychislitel’nye sistemy, 2006, no. 4, pp. 40 – 44.

5. Khachumov M. V. Rasstoyaniya, metriki i klasternyy analiz [Distances, metrics and cluster analysis]. Iskusstvennyy intellekt i prinyatie resheniy, 2012, no. 1, pp. 81 – 89.

6. Surzhin K. V., Muktepavel S. V. Otsenka vliyaniya faktora chislennosti naseleniya na ob’em passazhirskikh perevozok [Appraisal of the population factor influence on the passenger traffic volume]. Vestnik VNIIZhT [Vestnik of the Railway Research Institute], 2015, no. 4, pp. 59 – 64.

7. Sbornik metodov poiska novykh idey i resheniy upravleniya kachestvom [Collection of methods to search for new ideas and solutions of quality management]. Ul’yanovsk, UlSTU Publ., 2011. 194 p.

8. Makarova E. A., Elizarov S. B., Muktepavel S. V. Avtomatizirovannaya sistema prognozirovaniya passazhirskikh transportnykh potokov na baze ASU “Ekspress” [Automatized system of forecasting passenger transport flows based on ACS Express]. Vestnik VNIIZhT [Vestnik of the Railway Research Institute], 2011, no. 4, pp. 21 – 27.

9. Buliński J., Waszkiewicz C., Buraczewski P. Utilization of ABC/XYZ analysis in stock planning in the enterprise. Annals of Warsaw University of Life Sciences — SGGW Agriculture, 2013, no. 61, pp. 89 – 96.

10. Gatnar E., Walesiak M., eds. Metody statystycznej analizy wielowymiarowej w badaniach marketingowych [Multivariate statistical analysis methods in marketing research], Wroclaw, Wydawnictwo AE, 2004, pp. 35 – 38.