Efficiency of Planning the Reconstruction of Railway Facilities Using BIM

The development of industrial enterprises and the growth of the logistics market require a new approach of planning the construction and reconstruction of railway infrastructure facilities. For the efficient functioning of the transport system, it is necessary to balance the infrastructure capacity and the needs of the freight and passenger transport market. Uneven growth in traffic volumes applies an extra load to the railway network.

Reconstruction of an infrastructure facility can be considered as a phased increase in the production capacity of an enterprise, considering the indicators of net present value (NPV) and labour costs based on the dynamic programming method.

The article analyses the issue of using BIM‑modelling in planning the reconstruction of railway infrastructure facilities. The concept of a digital railway is considered as an example since digital railway projects are the main drivers of the economy of many countries.

Reconstruction of railways in the context of a lack of information about the existing infrastructure facility is an urgent problem for the design organization when conducting surveys in difficult conditions, agreeing on the list of engineering networks and linking the infrastructure of the design object with external asset holders.

The objective of the article is to consider the dominant role of BIM for the infrastructure reconstruction projects using a method for economic assessment of investment options based on dynamic programming according to NPV indicator.

1. Volkov, B. A., Solovyov, V. V., Dobrin, A. Yu., Lobanov, N.S. Economy of railway construction [Ekonomika stroitelstva zheleznykh dorog]. Moscow, TMC for education on railway transport, 2018, pp. 125–128.

2. Federal Law «Charter of Railway Transport of the Russian Federation» dated 10.01.2003 No. 18-FZ [Federalniy zakon «Ustav zheleznodorozhnogo transporta Rossiiskoi Federatsii» ot 10.01.2003 g. № 18-FZ]. [Electronic resource]: http://www.kremlin.ru/acts/bank/19008. Last accessed 21.05.2020.

3. Sacks, R., Eastman, C., Lee, G., Teicholz, P. BIM Handbook: A Guide to Building Information Modeling for Owners, Designers, Engineers, Contractors, and Facility Managers. John Wiley & Sons, Inc., Hoboken, 2018. https://doi.org/10.1002/9781119287568.

4. Lyovin, B. A., Tsetkov, B. Ya. Cybernetics and Physical Systems for Transport Management. World of Transport and Transportation, 2018, Vol. 16, Iss. 2, pp. 138–145. [Electronic resource]: https://www.elibrary.ru/item.asp?id=35215359. Last accessed 21.05.2020.

5. Kupriyanovsky, V. P. [et al]. Economics of digital railway innovation. Experience of Great Britain [Ekonomika innovatsii tsifrovoi zheleznoi dorogi. Opyt Velikobritanii]. International Journal of Open Information Technologies, 2017, Vol. 5, Iss. 3, pp.79–99. [Electronic resource]: https://www.elibrary.ru/item.asp?id=28426697. Last accessed 21.05.2020.

6. Telyatnikova, N., Spiridonov, E., Boyarinov, D. Innovation, Informatization and Digitalization of the Infrastructure Facilities Design and Construction of Highspeed Railways in Russia & Eurasian Union. Proceedings of 22nd International scientific conference. Transport Means 2018. K.: Publisher Kaunas University of Technology, 2018, pp. 1161–1166.

7. Gasnikov, A. V. [et al]. Introduction to the mathematical modelling of traffic flows: Study guide [Vvedenie v matematicheskoe modelirovanie transportnykh potokov: Ucheb. posobie]. 2nd ed., rev. and enl. Moscow, MCNMO publ., 2013, 427 p.

8. Solovyov, V. V. Analysis of Components of the Cost of Construction Products. World of Transport and Transportation, 2017, Vol. 15, Iss. 5, pp. 106–117. [Electronic resource]: https://www.elibrary.ru/item.asp?id=32311911. Last accessed 21.05.2020.

9. Volkodav, V. A., Volkodav, I. A. Development of the structure and composition of the classifier of construction information for the use of BIM technologies [Razrabotka struktury i sostava klassifikatora stroitelnoi informatsii dlya primeneniya BIM‑tekhnologii]. Vestnik MGSU, 2020, Vol. 15, Iss. 6, pp. 867–906. [Electronic resource]: https://cyberleninka.ru/article/n/razrabotka-struktury-i-sostava-klassifikatora-stroitelnoy-informatsii-dlya-primeneniyabim-tehnologiy. Last accessed 21.05.2020.

10. Knjazuk, E. M., Mirza, N. S. The use of building classifications for information modelling of roads. CAD & GIS of Highways, 2017, Vol. 1 (8), pp. 13–19. DOI: 10.22227/1997-0935.2019.12.1628–1637.

11. Edirisinghe, R., London, K. Comparative analysis of international and national level BIM standardization efforts and BIM adoption. Proceeding of the 32nd CIB W78 Conference. Eindhoven. The Netherlands, 2015, pp. 149–158. [Electronic resource]: https://www.researchgate.net/publication/286496233_Comparative_ Analysis_of_International_and_National_Level_BIM_Standardization_Efforts_and_BIM_adoption/. Last accessed 21.05.2020.

12. Balslev, H. The Reference Designation System (RDS) a common naming convention for systems and their elements. INCOSE International Symposium, 2016, Vol. 26 (1), pp. 1639–1656. DOI: 10.1002/j.2334-5837.2016.00251.

13. Sinyagov, S. A., Kupriyanovsky, V. P., Kurenkov, P. V. [et al]. Construction and engineering based on BIM standards as the basis for transformations of infrastructures in the digital economy [Stroitelstvo i inzheneriya na osnove standartov BIM kak osnova transformatsii infrastruktur v tsifrovoi ekonomike]. International Journal of Open Information Technologies, 2017, Vol. 5, Iss. 5, pp. 46–79. https://www.elibrary.ru/item.asp?id=29226715. Last accessed 21.05.2020.