Influence of bus service downtime in the transport interchange on the duration of inter-route transfer of passengers

Authors

DOI:

https://doi.org/10.15587/2706-5448.2021.231465

Keywords:

urban passenger transport, stopping point, service downtime, inter-route transfer

Abstract

The object of the study is the effect of the downtime of vehicles at stopping points on the duration of the route between passengers within the transport hub. As a controllable parameter that determines the conditions for synchronizing the presence of vehicles at stopping points and reproduces the characteristic effect on the weighted average time spent by passengers in transport hubs, the time of additional service downtime of vehicles is allocated. The simulation modeling and processing of the results obtained made it possible to establish the characteristic patterns of changes in the time spent by passengers in transport hubs for two types of routes with different volumes of passenger arrivals, the proportion of inter-route transfers and the interval of movement. It was found that for routes with scheduled arrivals more than 40 passengers and the specific gravity of inter-route transfers up to 45 %, the introduction of additional service downtime does not allow a positive effect on the duration of the stay of passengers in transport hubs. The implementation of service downtime is advisable for routes with an average volume of regular arrivals of passengers (up to 40 passengers) and a specific weight of inter-route transfers of more than 45 %. For such conditions, the regularities are described by a third-degree polynomial with the available characteristic period, which minimizes the function of the time spent by passengers. On the basis of the conducted experimental studies, it has been established that for routes with a specific gravity of a change from 45 % to 59 %, it is advisable to have a service downtime in the range of 1 minute up to 3 minutes, and for routes with a transfer rate of more than 59 % – within 2 minutes up to 5 minutes. The use of service downtime will increase the effectiveness of the synchronization of inter-route transfers in conditions of stochastic traffic and reduce the time spent by passengers in the transport interchange hub by 0.9–3.9 minutes (14–38 %) in comparison with the existing organization of interaction between the subjects of the route flow.

Author Biographies

Andrii Markevych, Lanzhou Jiaotong University

PhD, Associate Professor

Volodymyr Vdovychenko, Kharkiv National Automobile and Highway University

Doctor of Technical Sciences, Associate Professor, Professor

Department of Transport Technology

Igor Ivanov, Kharkiv National Automobile and Highway University

PhD, Associate Professor

Department of Transport Technology

References

  1. Lee, R. J., Sener, I. N. (2016). Transportation planning and quality of life: Where do they intersect? Transport Policy, 48, 146–155. doi: http://doi.org/10.1016/j.tranpol.2016.03.004
  2. Wei, Z. H., Cai-Liang, J. (2005). Theoretical analysis of the interchange passengers in urban transport terminals. Journal of Transportation Systems Engineering and Information Technology, 10, 23–30.
  3. Vdovychenko, V. (2017). Influence of reserve of carrying capacity of stopping points on the time idle parameters of passenger transport vehicles. Technology Audit and Production Reserves, 1 (2 (39)), 69–75. doi: http://doi.org/10.15587/2312-8372.2018.123604
  4. Ferreira, M. C., Fontesz, T., Costa, V., Dias, T. G., Borges, J. L., e Cunha, J. F. (2017). Evaluation of an integrated mobile payment, route planner and social network solution for public transport. Transportation Research Procedia, 24, 189–196. doi: http://doi.org/10.1016/j.trpro.2017.05.107
  5. Lipenkov, A. V., Kuzmin, N. A. (2015). Issledovanie poter vremeni ot vzaimnykh pomekh mezhdu avtobusami na ostanovochnykh punktakh. Mir transporta i tekhnologicheskikh mashin, 3, 84–95.
  6. Gorbachev, P. F., Makarichev, O. V., Chizhik, V. M. (2013). Waiting time estimation for different methods of route vehicle operation organization. Avtomobilniy transport, 33, 82–86.
  7. Peña, C., Moreno, E. (2014). Delay at Bus Stops of Transmilenio Transport System According to Parameters Measured” in situ”. Case Study Bogotá-Colombia. Procedia – Social and Behavioral Sciences, 160, 121–129. doi: http://doi.org/10.1016/j.sbspro.2014.12.123
  8. Ibarra-Rojas, O. J., López-Irarragorri, F., Rios-Solis, Y. A. (2016). Multiperiod Bus Timetabling. Transportation Science, 50 (3), 805–822. doi: http://doi.org/10.1287/trsc.2014.0578
  9. Fouilhoux, P., Ibarra-Rojas, O. J., Kedad-Sidhoum, S., Rios-Solis, Y. A. (2016). Valid inequalities for the synchronization bus timetabling problem. European Journal of Operational Research, 251 (2), 442–450. doi: http://doi.org/10.1016/j.ejor.2015.12.006
  10. Vdovichenko, V. O. (2017). Slot coordination ofmotion of urban public passenger transport in the conditions oftransport-transplantation terminal. Visnyk KrNU imeni Mykhaila Ostrohradskoho, 5 (106), 51–55.
  11. Bezuhlyi, A., Vyrozhemskyi, V., Voloshyna, I., Holovko, S., Lytvynenko, A., Nahaichuk, V., Hameliak, I. (2018). DBN V. 2.3-5: 2018. Vulytsi ta dorohy naselenykh punktiv. Available at: http://online.budstandart.com/ua/catalog/doc-page.html?id_doc=77079
  12. Bolkovska, A., Petuhova, J. (2017). Simulation-based Public Transport Multi-modal Hub Analysis and Planning. Procedia Computer Science, 104, 530–538. doi: http://doi.org/10.1016/j.procs.2017.01.169
  13. Safronov, K. E., Safronov, E. A. (2019). Modelirovanie passazhirskikh i transportnykh potokov v gorodskoy aglomeratsii. Vestnik Moskovskogo avtomobilno-dorozhnogo gosudarstvennogo tekhnicheskogo universiteta (MADI), 3, 75–82.

Downloads

Published

2021-06-30

How to Cite

Markevych, A., Vdovychenko, V., & Ivanov, I. (2021). Influence of bus service downtime in the transport interchange on the duration of inter-route transfer of passengers. Technology Audit and Production Reserves, 3(2(59), 41–45. https://doi.org/10.15587/2706-5448.2021.231465

Issue

Vol. 3 No. 2(59) (2021): Information and control systems

Section

Systems and Control Processes: Reports on Research Projects

License

Copyright (c) 2021 Andrii Markevych, Volodymyr Vdovychenko, Igor Ivanov

Creative Commons License

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

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.