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Study on influence of transport service parameters on the level of passenger satisfaction on the basis of modeling by methods of ordinal logistic regression

Abstract

On the basis of studying of the existing practice of market researches three main approaches are identified for creation of comparison process of influence of different parameters of transport services for satisfaction of the population in order to define the priority directions of implementation of administrative decisions in the field of growth of service quality: direct receiving priorities from passengers; calculation on the basis of using mechanisms of the correlation and regression analysis by method of the smallest squares; calculation which is based on application of different types of nonparametric methods of statistics. An analysis of the advantages and disadvantages of existing methodological approaches to comparative assessment of the quality of the growth paths of service and services was presented that resulted in the necessity of further development of mechanisms based on the use of nonparametric methodological tools, focused on the construction of convenient predictive models. Methodical and practical approaches to identifying promising areas to improve the quality of public services were proposed and based on the modeling, comparison and visualization of the results of assessment of the impact of different transport service parameters on the overall quality of service by methods of ordinal logistic regression. The approbation and assessment of the effectiveness of the proposed methodological approaches was performed on an array of marketing data about the demand of railway passengers for cases when the use of regression analysis of least squares method was ineffective. As a result, it is proposed to use an integrated mechanism of studying the effect of different service options at the level of passenger satisfaction, which includes a set of parametric and nonparametric statistical methods, and aimed at obtaining the maximum of objective information necessary for management decision-making in the field of quality growth of transport service.

About the Author

S. S. Pastukhov
Joint Stock Company Railway Research Institute (JSC “VNIIZhT”)
Russian Federation


References

1. Miroshnichenko O. F., Milevskaya V. A., Pastukhov S. S. Informatsionnye tekhnologii v marketingovykh issledo-vaniyakh passazhirskikh zheleznodorozhnykh perevozok [Information technologies in marketing research of pas-senger railway transport]. Economika zheleznykh dorog, 2007, no.8, pp. 71 – 80.

2. Miroshnichenko O. F., Milevskaya V. A., Pastukhov S. S. Kompleksnaya sistema marketingovykh issledovaniy rynka passazhirskikh perevozok dal’nego sledovaniya [A comprehensive system of market research of long-distance passenger transportation]. Economika zheleznykh dorog, 2007, no.3, pp. 41 – 58.

3. Pastukhov S. S. Opredelenie prioritetov passazhirov pri otsenke kachestva i vyyavlenie naibolee effektivnykh napravleniy uluchsheniya kachestva transportnoy uslugi i servisa v firmennykh poezdakh (metodologiya i rezu-l’taty) [Determination of passenger priorities in evaluating the quality, and identification the most effective areas to improve the quality of transport services in the branded trains (methodology and results)]. Vestnik VNIIZhT [Vestnik of the Railway Research Institute], 2008, no. 1, pp. 23 – 27.

4. Pastukhov S. S. Opredelenie osnovnykh putey povysheniya effektivnosti raboty vagonov-restoranov na osnove marketingovogo analiza [Identification of the main ways to increase the efficiency of the dining cars on the basis of market analysis]. Vestnik VNIIZhT [Vestnik of the Railway Research Institute], 2008, no. 2, pp. 42 – 47.

5. Pastukhov S. S. Opredelenie prioritetnykh napravleniy uluchsheniya kachestva transportnogo obsluzhivaniya passazhirov v usloviyakh neizvestnosti real’nogo zakona raspredeleniya izuchaemykh dannykh [Identification of priority areas to improve the quality of transport service for passenger in conditions of uncertainty of the real law of distribution of the studied data]. Vestnik VNIIZhT [Vestnik of the Railway Research Institute], 2008, no.1, pp. 22 – 25.

6. McKelvey R., Zavoina W. A statistical model for the analysis of ordinal level dependent variables. Journal of Mathematical Sociology, 1975, no. 4, pp. 103 – 120.

7. McCullagh P. Regression Models for Ordinal Data. Journal of the Royal Statistical Society, Series B, 1980, no. 42(2), pp. 109 – 142.

8. Pregibon D. Logistic Regression Diagnostics. Annals of Statistics, 1981, no. 9, pp. 705 – 724.

9. Anderson J. A. Regression and ordered categorical variables (with discussion). Journal of the Royal Statistical Society, Series B, 1984, no. 46, pp. 1 – 40.

10. Jennings D. E. Judging inference adequacy in logistic regression. Journal of the American Statistical Association, 1986, no. 81, pp. 471 – 476.

11. William H. Greene. Econometric analysis. Prentice Hall Publ., 2012, 1232 p.

12. Carmen Wilson, VanVoorhis, Betsy Levonian Morgan. Statistical Rules of Thumb: What We Don’t Want to Forget About Sample Sizes // The National Honor Society in Psychology, 2001, vol. 6, no. 4, pp. 139 – 141.


Review

For citations:


Pastukhov S.S. Study on influence of transport service parameters on the level of passenger satisfaction on the basis of modeling by methods of ordinal logistic regression. RUSSIAN RAILWAY SCIENCE JOURNAL. 2016;(2):108-115. (In Russ.)

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ISSN 2223-9731 (Print)
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