Preview

RUSSIAN RAILWAY SCIENCE JOURNAL

Advanced search

Passenger insurance on the Russians railway transport. Automated subsystem of voluntary insurance against passengers accidents on the railway transport bases on the automated control system “Express”

https://doi.org/10.21780/2223-9731-2018-77-1-27-33

Abstract

The article reviews the ways of insurance in railway transport, namely compulsory insurance of the civil liability of the carrier for causing damage to life, health, property of passengers and voluntary insurance of passengers on the basis of the management system for passenger transportations in the automated control system “Express”. In the case of compulsory insurance, a railway ticket for a longdistance train is a confirmation that the passenger is insured. No additional documents are needed. In the case of voluntary insurance, a passenger can purchase a voluntary insurance policy at the railway ticket office or through the website www: //rzd.ru. The ACS “Express” gives the opportunity for a passenger to issue a travel document for a long distance train and a policy of voluntary insurance against accidents in one of four insurance companies: PJSC “Rosgosstrakh”, LLC “Renaissance Insurance Group”, JSC “Insurance Company BLAGOSOSTOYANIE”, JSC “Insurance Company of the Gas Industry” (SOGAZ). At the moment each insurance company offers insurance premium of 3 par values with the relevant insurance amounts. The cost of voluntary insurance policies depends only on the sum insured and does not depend on such factors as the duration of the trip, the train category or the age of the insured. Insurance coverage is valid during the trip from the moment of announcement of boarding, but not earlier than 30 minutes before departure, and ends no later than one hour after the arrival of the insured passenger to the destination station, provided that it is located on the territory of the railway station or terminal. The insurance contract is concluded for one trip in longdistance railway transport. The information technology of voluntary insurance creates for passengers more attractive conditions, the comfort and safety of passenger transportation increases. The article provides the functional description and report examples of developed and implemented in the industrial operation software and analysis complex on the basis of the ACS “Express”, which includes automated work stations (AWS) “Insurance companies and complexes”, “Voluntary insurance” and “Inquiry on insured passengers by train”. This software and analytical complex implements tasks that ensure the formation of reference and analytical information, operational financial reporting on the sold voluntary insurance policies and monitoring of the demand indicators of insurance policies and insurance companies.

About the Authors

A. T. Sungatullina
Joint Stock Company “Railway Research Institute” (JSC “VNIIZhT”)
Russian Federation


I. B. Gumina
Joint Stock Company “Railway Research Institute” (JSC “VNIIZhT”)
Russian Federation


G. A. Antonova
Joint Stock Company “Railway Research Institute” (JSC “VNIIZhT”)
Russian Federation


References

1. Makarova E. A., Surzhin K. V., Elizarov S. B., Morozov S. S., Dzhabbarov S. T. Prognozirovanie passazhiropotokov v dal'nem soobshchenii na infrastrukture OAO “RZhD” po regionam Rossiyskoy Federatsii [Forecasting passenger traffic in long-distance operation on the infrastructure of the JSC “Russian Railways” by regions of the Russian Federation]. TRANSPORT: science, equipment, management, 2017, no. 2, pp. 32 – 39.

2. Nogaev D. I. Strakhovanie na zheleznodorozhnom transporte. Nastoyashchee i budushchee [Insurance on railway transport. Present and future]. Russian journal of entrepreneurship, 2012, no. 11 (209), pp. 144 – 149.

3. Min Hyun-Seok. Traceability guideline for software requirements and UML design. International Journal of Software Engineering and Knowledge Engineering, February 2016, Vol. 26, issue 1, pp. 87 – 113.

4. Ziyatdinov A. R., Nogaev D. I. Strakhovanie passazhirov na zheleznodorozhnom transporte [Insurance of passengers in railway transport]. Ekonomika zheleznykh dorog, 2013, no. 4, pp. 38 – 43.

5. Marban O., Segovia J. Extending UML for modeling data mining projects (DM-UML). Journal of Information Technology & Software Engineering, 2013, Vol. 3, issue 2, pp. 121 – 137.

6. Ignatova Ya. S. Strakhovanie passazhirov v Rossii: analiz situatsii, problemnye voprosy i puti ikh resheniya [Passenger insurance in Russia: situation analysis, problem issues and solutions]. Vestnik transporta, 2010, no. 11, pp. 27 – 30.

7. Sungatullina A. T., Gumina I. B., Dobychina V. A. Avtomatizirovannaya sistema ucheta passazhirov, sovershivshikh protivopravnye deystviya v poezdakh formirovaniya AO “FPK”, i predostavleniya informatsii dlya poezdnykh brigad [Automated system of accounting for passengers who committed unlawful actions in the trains of the JSC “FPK” formation, and providing information for the train crew]. Vestnik VNIIZhT [Vestnik of the Railway Research Institute], 2016, Vol. 75, no. 2, pp. 82 – 87. DOI: http://dx.doi.org/10.21780/2223-9731-2016-75-2-82-87.

8. Shiminova M. Ya. Povyshenie garantiy okhrany imushchestvennykh prav i interesov passazhirov v Rossiyskom strakhovom prave [Increase of guarantees of protection of property rights and interests of passengers in the Russian insurance law]. Economic and Law Issues, 2016, no. 94, pp. 57 – 61.

9. Berezka M. P. Modernizatsiya programmnogo obespecheniya ASU “Ekspress-3” [Modernization of the ACS “Express-3” software]. Automation, communication and informatics, 2017, no. 9, pp. 19 – 22.

10. Berezka M. P. ASU “Ekspress-3”: tarifikatsiya proezdnykh dokumentov [ACS “Express-3”: Tariffication of travel documents]. Automation, communication and informatics, 2017, no. 3, pp. 27 – 30.

11. Makarova E. A., Muktepavel S. V. Issledovanie regional'nykh passazhirskikh transportnykh potokov na baze ASU “Ekspress-3” [Research of regional passenger traffic flows on the basis of the ACS “Express-3”]. Ekonomika zheleznykh dorog, 2017, no. 6, pp. 34 – 45.

12. Makarova E. A., Surzhin K. V., Elizarov S. B., Morozov S. S., Dzhabbarov S. T. Prognozirovanie passazhiropotokov v dal'nem soobshchenii na infrastrukture OAO “RZhD” po regionam Rossiyskoy Federatsii [Forecasting passenger traffic in long-distance operation on the infrastructure of the JSC “Russian Railways” by regions of the Russian Federation]. TRANSPORT: science, equipment, management, 2017, no. 2, pp. 32 – 39.

13. Min Hyun-Seok. Traceability guideline for software requirements and UML design. International Journal of Software Engineering and Knowledge Engineering, February 2016, Vol. 26, issue 1, pp. 87 – 113.

14. Marban O., Segovia J. Extending UML for modeling data mining projects (DM-UML). Journal of Information Technology & Software Engineering, 2013, Vol. 3, issue 2, pp. 121 – 137.

15. Sungatullina A. T., Gumina I. B., Dobychina V. A. Avtomatizirovannaya sistema ucheta passazhirov, sovershivshikh protivopravnye deystviya v poezdakh formirovaniya AO “FPK”, i predostavleniya informatsii dlya poezdnykh brigad [Automated system of accounting for passengers who committed unlawful actions in the trains of the JSC “FPK” formation, and providing information for the train crew]. Vestnik VNIIZhT [Vestnik of the Railway Research Institute], 2016, Vol. 75, no. 2, pp. 82 – 87. DOI: http://dx.doi.org/10.21780/2223-9731-2016-75-2-82-87.


Review

For citations:


Sungatullina A.T., Gumina I.B., Antonova G.A. Passenger insurance on the Russians railway transport. Automated subsystem of voluntary insurance against passengers accidents on the railway transport bases on the automated control system “Express”. RUSSIAN RAILWAY SCIENCE JOURNAL. 2018;77(1):27-33. (In Russ.) https://doi.org/10.21780/2223-9731-2018-77-1-27-33

Views: 906


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2223-9731 (Print)
ISSN 2713-2560 (Online)