Assessment of Economic Losses of Road Transport Due to Unproductive Downtime at Railway Crossings

Authors

DOI:

https://doi.org/10.15802/stp2025/332763

Keywords:

automated information system «Pereizd», impact of transport on the environment, traffic intensity, economic losses, vehicle downtime, traffic flow, crossing

Abstract

Purpose. Determining economic losses from unproductive downtime at railroad crossings requires a comprehensive approach. The authors aim to develop a methodology for calculating the economic losses of motor vehicles from unproductive downtime at railroad crossings with heavy traffic and to propose rational solutions regarding the feasibility of modernizing crossings. Methodology. The calculations of economic losses incurred by motor vehicles due to unproductive downtime at railroad crossings take into account the category of the crossing, the number of trains and the number of vehicles of different categories crossing the crossing during the day, as well as other factors included in the automated system «Pereizd» («Crossing»). The methodology takes into account the economic cost of time lost by passengers waiting in cars and buses in front of a closed crossing, as well as the economic cost of cargo downtime depending on the type of trucks and the type of transportation. Findings. During the study, the authors determined at which crossings and at what intensity of traffic the greatest economic losses from unproductive downtime are observed. The results obtained take into account the daily traffic intensity at the crossing: the number of trains and the number of vehicles of various categories, the category of crossings, and other factors. It was found out how the intensity of motor vehicle and rail transport, the frequency of opening barriers, and the duration of downtime for cars, buses, and trucks affect the costs and fuel consumption when engines are idling. The negative impact of unproductive downtime on the environment was assessed. Originality. The paper proposes a methodology for assessing the economic losses of motor vehicles from unproductive downtime at the busiest railroad crossings. The economic losses of motor vehicles are assessed by analyzing a number of factors related to traffic flow, downtime, fuel consumption, lost time, and environmental pollution. Practical value. The developed method makes it possible to estimate the economic losses of motor vehicles from unproductive downtime at railroad crossings, which is confirmed by examples from the operation of crossings on the routes of the regional branch «Prydniprovska Railway».

References

Berzina, S. V., Berzin, V. M., Vakarash, V. M., Vorfolomeyev, A. V., Goropaczkyj, V. G., Dyuzhylova, N. O., … & Yareskovska, I. I. (2017). Systemy ekologichnogo upravlinnya: suchasni tendenciyi ta mizhnarodni standarty. Kyiv: Instytut ekologichnogo upravlinnya ta zbalansovanogo pryrodokorystuvannya. (in Ukrainian)

Kurhan, M. B., Luzhytskyi, O. F., Ivanov, R. V., & Khmelevskyi, V. S. (2024). Implementation of Innovative Technologies During the Modernization of Existing Level Crossings for High-Speed Train Traffic. Science and Transport Progress, 1(105), 62-83. DOI: https://doi.org/10.15802/stp2024/303191 (in Ukrainian)

Troshyn, M. Yu., Shlyakhov, K. V., & Pyshnyy, M. S. (2024, Nov.). Doslidzhennya bezpeky rukhu na zaliznychnykh pereyizdakh. In VI International Scientific and Practical Conference «RICERCHE SCI-ENTIFICHE E METODI DELLA LORO REALIZZAZIONE: ESPERIENZA MONDIALE E REALTÀ DOMES-TICHE» (SEZIONE 18, pp. 194-199). Bologna, Italy. DOI: https://doi.org/10.36074/logos-15.11.2024.044 (in Ukrainian)

CzP-0174 Instrukciya z ulashtuvannya ta ekspluataciyi zalizny`chny`x pereyizdiv. Kyiv: Verkhovna Rada of Ukraine. Retrieved from https://zakon.rada.gov.ua/laws/show/z0162-07#Text (in Ukrainian)

Anagnostopoulos, A. (2025). Assessing Safety and Infrastructure Design at Railway Level Crossings Through Microsimulation Analysis. Future Transportation, 5(1), 1-17. DOI: https://doi.org/10.3390/futuretransp5010024 (in English)

Chong, K. (2025). Spatiotemporal Influence Analysis Through Traffic Speed Pattern Analysis Using Spatial Classification. Applied Sciences, 15, 1-18. DOI: https://doi.org/10.3390/app15010196 (in English)

de Rus, G., Socorro, M. P., Valido, J., & Campos, J. (2022). Cost-benefit analysis of transport projects: Theoretical framework and practical rules. Transport Policy, 123, 25-39. DOI: https://doi.org/10.1016/j.tranpol.2022.04.008 (in English)

Kawamura, K., Fazio, J., & Choobchian, P. (2024). Reducing delays caused by at-grade rail crossings in disad-vantaged communities through non-physical measures. Transportation Research Procedia, 79, 44-51. DOI: https://doi.org/10.1016/j.trpro.2024.03.008 (in English)

Nowak, M., Andrzejewski, M., Tomaszewski, S., Daszkiewicz, P., & Urbański, P. (2021). Evaluation of Passenger Car Emission Indexes in Relation to Passing through the Rail-road Crossing. Proceedings of the 7th Inter-national Conference on Vehicle Technology and Intelligent Transport Systems, 579-583. DOI: https://doi.org/10.5220/0010465305790583 (in English)

Pasha, J., Dulebenets, M. A., Singh, P., Moses, R., Sobanjo, J., & Ozguven, E. E. (2021). Towards improving sustainability of rail transport by reducing traffic delays at level crossings: A case study for the State of Florida. Cleaner Logistics and Supply Chain, 1, 1-15. DOI: https://doi.org/10.1016/j.clscn.2021.100001 (in English)

Singhal, V., Jain, S. S., Anand, D., Singh, A., Verma, S., Rodrigues, J. J. P. C., … & Iwendi, C. (2020). Artificial Intelligence Enabled Road Vehicle-Train Collision Risk Assessment Framework for Unmanned Railway Level Crossings. IEEE Access, 8, 113790-113806. DOI: https://doi.org/10.1109/access.2020.3002416 (in English)

Skabardonis, A. (2020). Highway Capacity Manual Methodologies for Corridors Involving Freeways and Surface Streets. Washington, DC: The National Academies Press. DOI: https://doi.org/10.17226/25963 (in English)

Tshaai, D. C., Mishra, A. K., & Pidanic, Jan. (2022). Demonstration of Smart Railway Level Crossing Design and Validation Using Data from Metro Rail, South Africa. Journal of Advanced Transportation, 2022, 1-10. DOI: https://doi.org/10.1155/2022/6614242 (in English)

Ul Islam, Z., Hossain Lipu, M. S., Karim, T. F., Fuad, A. M., Ali, M. M. N., Shihavuddin, A., & Al Mansur, A. (2024). Optimizing hybrid renewable energy based automated railway level crossing in Bangladesh: Techno-economic, emission and sensitivity analysis. Energy Conversion and Management: X, 24, 1-21. DOI: https://doi.org/10.1016/j.ecmx.2024.100744 (in English)

Published

2025-06-16

How to Cite

Kurhan, M. B., Luzhytskyi, O. F., Ivanov, R. V., & Kurhan, A. M. (2025). Assessment of Economic Losses of Road Transport Due to Unproductive Downtime at Railway Crossings. Science and Transport Progress, (2(110), 107–118. https://doi.org/10.15802/stp2025/332763

Issue

Section

RAILROAD AND ROADWAY NETWORK