The impact of fluctuations in volume of transported passengers in urban traffic on the performance indicators of routes

Authors

DOI:

https://doi.org/10.15587/2312-8372.2016.66795

Keywords:

passenger, probability, costs, traffic volumes, route

Abstract

This article discusses the possibility of applying statistical analysis to the operating costs of the enterprise to make the transportation of passengers on city routes, as well as the impact of fluctuations in volume of transported passengers on such costs. The use of modern means of data analysis allows make a quantitative statistical analysis of the main performance indicators of the enterprise on the city routes. The presented method allows analyzing the activity of the enterprise to evaluate enterprise risks when planning their activities. Scenarios forecasting mechanism for changes of the basic operational resources of the enterprise is shown. The authors propose to use established relationships between the volumes of transportation of passengers and the cost of transportation to ensure the quality of strategic planning. The research results can be applied to the transport companies that provide services for passengers on bus routes of the public service in the cities.

Author Biographies

Юрій Олександрович Давідіч, O. M. Beketov National University of Urban Economy, st. Revolution 12, Kharkiv, Ukraine, 61002

Doctor of Technical Sciences, Professor

Department of Transport Systems and Logistics

Олена Євгенівна Доля, O. M. Beketov National University of Urban Economy, st. Revolution 12, Kharkiv, Ukraine, 61002

Assistant

Department of Project Management in Municipal Economy and Construction

References

  1. Dolya, O. Ye. (2011). Shchodo prohnozuvannia virohidnosti realizatsii investytsiinoho proektu z zakupivli avtomobilnykh transportnykh zasobiv na marshruty zahalnoho korystuvannia. Visnyk Donetskoi akademii avtomobilnoho transportu, 1, 17–24.
  2. Dolia, V. K. (2002). Orhanizatsiia pasazhyrskykh perevezen u mistakh. Kharkiv: Nove slovo, 140.
  3. Vorkut, T. A. (2000). Proektnyi analiz. Kyiv: Ukrainian Center for Spiritual Culture, 428.
  4. Boyle, D. (2008). TCRP Synthesis 77 – Passenger Counting Systems, Transit Cooperative Research Program, Transportation Research Board. Washington, DC, 73. doi:10.17226/14207
  5. Higgins, L. L. (2000, September). Assessment of Metrolift Paratransit Scheduling System. Report № TTI/ITS RCE – 01/02. Texas A&M ITS Research Center of Excellence, Texas A&M Transportation Institute. Available: http://ntl.bts.gov/lib/17000/17200/17225/PB2001100374.pdf
  6. Hemily, B. (2012, October 11). Providing Guidance for the Design and Implementation of Travel Management Coordination Centers (TMCC). Draft Report. ITS JPO.
  7. Haas, R., Perry, E., Rephlo, J.; Science Applications International Corporation. (2009, November). A Case Study on Applying the Systems Engineering Approach: Best Practices and Lessons Learned from the Chattanooga SmartBus Project. Contract or Grant № DTFH61-02-C-00061; Task 61027. United States Department of Transportation, Intelligent Transportation Systems Joint Program Office, Federal Transit Administration. Available: http://ntl.bts.gov/lib/32000/32600/32672/61027_se.pdf
  8. Boyle, D., Pappas, J., Boyle, P., Nelson, B., Sharfarz, D., Benn, H. (2009, March). TCRP Web-Only Document 45: Appendixes to TCRP Report 135: Controlling System Costs: Basic and Advanced Scheduling Manuals and Contemporary Issues in Transit Scheduling. Transit Cooperative Research Program, Transportation Research Board. Washington, DC. Available: http://onlinepubs.trb.org/onlinepubs/tcrp/tcrp_webdoc_45.pdf
  9. Burt, M. W., Cluett, C., Schweiger, C. L., Coogan, M. A., Easley, R. B., Easley, S. (2007). Improving Public Transportation Technology Implementations And Anticipating Emerging Technologies. Transit Cooperative Research Program Project J-09, Task 12, Transportation Research Board. Report 84, Vol. 8. Washington, DC, 76. doi:10.17226/13894
  10. Chu, X. (2010, December). A Guidebook for Using Automatic Passenger Counter Data for National Transit Database (NTD) Reporting. Report № NCTR778-03, FDOT BDK85 977-04. Research and Innovative Technology Administration, Florida Department of Transportation. Available: http://www.nctr.usf.edu/pdf/77803.pdf

Downloads

Published

2016-03-29

How to Cite

Давідіч, Ю. О., & Доля, О. Є. (2016). The impact of fluctuations in volume of transported passengers in urban traffic on the performance indicators of routes. Technology Audit and Production Reserves, 2(3(28), 34–37. https://doi.org/10.15587/2312-8372.2016.66795

Issue

Vol. 2 No. 3(28) (2016): Systems and Control Processes. Information and Control Systems. Technology Transfer in the Transport Industry

Section

Technology Transfer in the Transport Industry

License

Copyright (c) 2016 Юрій Олександрович Давідіч, Олена Євгенівна Доля

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.