IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i17p7274-d1462988.html
   My bibliography  Save this article

Analysis of Regulation of Costs for Operating Buses in a Transport Company

Author

Listed:
  • Valery Kurganov

    (Department of Mathematics, Statistics and Informatics, Tver State University, 170100 Tver, Russia)

  • Mikhail Gryaznov

    (Department of Logistics and Transport Systems Management, Nosov Magnitogorsk State Technical University, 455000 Magnitogorsk, Russia)

  • Andrey Aduvalin

    (ME “Maggortrans”, 455000 Magnitogorsk, Russia)

  • Liliya Polyakova

    (Department of Logistics and Transport Systems Management, Nosov Magnitogorsk State Technical University, 455000 Magnitogorsk, Russia)

  • Aleksey Dorofeev

    (Department of Financial Technologies, Financial University under the Government of the Russian Federation, 105187 Moscow, Russia)

Abstract

The problem of increasing passenger traffic remains acute for municipal public transport. The value of this indicator is determined by the interest of citizens in this way of making their trips and determines the feasibility of the carrier’s operation. The authors conducted a study of the problems of public transport services in large- and medium-sized cities, which found that the population’s interest in public urban passenger transport has generally been significantly lost. More than 40% of the city population refuses to travel on public transport, half of the population has questions about the reliability of tariff formation, and the same number of people are not satisfied with the regular route network and schedule. City residents increasingly prefer personal vehicles or taxis for their trips, which negatively affects the revenue side of carriers, as well as the level of social comfort and the quality of life of citizens. Efforts to reduce the operating costs of the carrier are aimed at correcting the current situation with urban transport so that tariffs for transportation are more acceptable for passengers. The formation of tariffs for passenger transportation for transport companies is an urgent and complex task. It is necessary to formulate the tariff in such a way as to cover your own transportation costs in the near future and, at the same time, not exceed the psychological threshold for passengers so as not to cause their negative reaction. In addition, since the transportation of passengers by urban public transport is regulated by the authorities, it is also necessary to provide an economic justification for transportation tariffs. This is difficult in the absence of substantiated indicators of consumption rates of material resources in the transport process. To solve this problem, it is necessary to carefully analyze the current costs of operating the bus fleet, as well as forecast costs for future periods. At different periods, researchers have proposed various approaches for planning the cost of operating a bus fleet. The approach we propose is to use standardization of the consumption of material resources, considering the individual operating conditions of the bus fleet and the influence of various factors.

Suggested Citation

  • Valery Kurganov & Mikhail Gryaznov & Andrey Aduvalin & Liliya Polyakova & Aleksey Dorofeev, 2024. "Analysis of Regulation of Costs for Operating Buses in a Transport Company," Sustainability, MDPI, vol. 16(17), pages 1-24, August.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7274-:d:1462988
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/17/7274/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/17/7274/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Turrini, Laura & Meissner, Joern, 2019. "Spare parts inventory management: New evidence from distribution fitting," European Journal of Operational Research, Elsevier, vol. 273(1), pages 118-130.
    2. Kourentzes, Nikolaos, 2013. "Intermittent demand forecasts with neural networks," International Journal of Production Economics, Elsevier, vol. 143(1), pages 198-206.
    3. Kholod, Nazar & Evans, Meredydd, 2016. "Reducing black carbon emissions from diesel vehicles in Russia: An assessment and policy recommendations," Environmental Science & Policy, Elsevier, vol. 56(C), pages 1-8.
    4. Ryzhkov, Alexander & Sarzhan, Yuliya, 2020. "Market initiative and central planning: A study of the Moscow bus network," Research in Transportation Economics, Elsevier, vol. 83(C).
    5. Yunqiang Xue & Meng Zhong & Luowei Xue & Haokai Tu & Caifeng Tan & Qifang Kong & Hongzhi Guan, 2022. "A Real-Time Control Strategy for Bus Operation to Alleviate Bus Bunching," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    6. Błażej Suproń & Irena Łącka, 2023. "Research on the Relationship between CO 2 Emissions, Road Transport, Economic Growth and Energy Consumption on the Example of the Visegrad Group Countries," Energies, MDPI, vol. 16(3), pages 1-21, January.
    7. Ryzhkov, Alexander, 2018. "Local public transport in Russia: Regulation, ownership and competition," Research in Transportation Economics, Elsevier, vol. 69(C), pages 207-217.
    8. Huiskonen, Janne, 2001. "Maintenance spare parts logistics: Special characteristics and strategic choices," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 125-133, May.
    9. Sohail, M. & Maunder, D.A.C. & Cavill, S., 2006. "Effective regulation for sustainable public transport in developing countries," Transport Policy, Elsevier, vol. 13(3), pages 177-190, May.
    10. Huseyin Topaloglu & Warren Powell, 2007. "Incorporating Pricing Decisions into the Stochastic Dynamic Fleet Management Problem," Transportation Science, INFORMS, vol. 41(3), pages 281-301, August.
    11. G J King & H Topaloglu, 2007. "Incorporating the pricing decisions into the dynamic fleet management problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(8), pages 1065-1074, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dombi, József & Jónás, Tamás & Tóth, Zsuzsanna Eszter, 2018. "Modeling and long-term forecasting demand in spare parts logistics businesses," International Journal of Production Economics, Elsevier, vol. 201(C), pages 1-17.
    2. Van der Auweraer, Sarah & Boute, Robert N. & Syntetos, Aris A., 2019. "Forecasting spare part demand with installed base information: A review," International Journal of Forecasting, Elsevier, vol. 35(1), pages 181-196.
    3. Ye, Yuan & Lu, Yonggang & Robinson, Powell & Narayanan, Arunachalam, 2022. "An empirical Bayes approach to incorporating demand intermittency and irregularity into inventory control," European Journal of Operational Research, Elsevier, vol. 303(1), pages 255-272.
    4. Liu, Yang & Xie, Jiaohong & Chen, Nan, 2022. "Stochastic one-way carsharing systems with dynamic relocation incentives through preference learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    5. Toptal, Aysegül & Bingöl, Safa Onur, 2011. "Transportation pricing of a truckload carrier," European Journal of Operational Research, Elsevier, vol. 214(3), pages 559-567, November.
    6. Cristián E. Cortés & Doris Sáez & Alfredo Núñez & Diego Muñoz-Carpintero, 2009. "Hybrid Adaptive Predictive Control for a Dynamic Pickup and Delivery Problem," Transportation Science, INFORMS, vol. 43(1), pages 27-42, February.
    7. Zhou, Wei-Hua & Lee, Chung-Yee, 2009. "Pricing and competition in a transportation market with empty equipment repositioning," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 677-691, July.
    8. Felix Papier & Ulrich W. Thonemann, 2008. "Queuing Models for Sizing and Structuring Rental Fleets," Transportation Science, INFORMS, vol. 42(3), pages 302-317, August.
    9. Kuyzu, Gültekin & Akyol, Çağla Gül & Ergun, Özlem & Savelsbergh, Martin, 2015. "Bid price optimization for truckload carriers in simultaneous transportation procurement auctions," Transportation Research Part B: Methodological, Elsevier, vol. 73(C), pages 34-58.
    10. Najafi, Mehdi & Zolfagharinia, Hossein, 2021. "Pricing and quality setting strategy in maritime transportation: Considering empty repositioning and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 240(C).
    11. Prak, Dennis & Rogetzer, Patricia, 2022. "Timing intermittent demand with time-varying order-up-to levels," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1126-1136.
    12. Qiu, Xuan & Xu, Su Xiu & Xu, Gangyan, 2021. "Pricing and scheduling of barge hinterland transportation service for inbound containers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    13. Michael Haughton & Alireza Amini, 2024. "An Examination of Human Fast and Frugal Heuristic Decisions for Truckload Spot Pricing," Logistics, MDPI, vol. 8(3), pages 1-16, July.
    14. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    15. Pinçe, Çerağ & Turrini, Laura & Meissner, Joern, 2021. "Intermittent demand forecasting for spare parts: A Critical review," Omega, Elsevier, vol. 105(C).
    16. Marlin W. Ulmer, 2020. "Dynamic Pricing and Routing for Same-Day Delivery," Transportation Science, INFORMS, vol. 54(4), pages 1016-1033, July.
    17. Jeon, Yunho & Seong, Sihyeon, 2022. "Robust recurrent network model for intermittent time-series forecasting," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1415-1425.
    18. Chaoren Lu, 2014. "The role of sustainability policy in influencing service innovation. a case study of Changzhou BRT system," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2014(3), pages 167-168.
    19. Kwon, He-Boong & Lee, Jooh, 2019. "Exploring the differential impact of environmental sustainability, operational efficiency, and corporate reputation on market valuation in high-tech-oriented firms," International Journal of Production Economics, Elsevier, vol. 211(C), pages 1-14.
    20. Kourentzes, Nikolaos & Athanasopoulos, George, 2021. "Elucidate structure in intermittent demand series," European Journal of Operational Research, Elsevier, vol. 288(1), pages 141-152.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7274-:d:1462988. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.