At this stage of development of intercity passenger transportion, there is a need to take into account fluctuations in demand for the services of carriers, which takes place over time. These fluctuations in demand are mostly tied to the onset of a period of nationwide or religious celebrations, the onset of a period of mass holidays, sports and cultural events of state or interstate significance, and so on. Therefore, such existing fluctuations in demand of passengers for the use of public routes in long-distance communication should be taken into account when planning the activity for the management of passenger traffic. In order to meet the needs of passengers for transportation, taking into account the available fluctuations in demand, certain decisions can be taken on the changes in the parameters of the components of the transport system. Such changes include changes in the number or type of rolling stock, timetables, changes in traffic patterns, the introduction of temporary routes, restrictions on the purchasing power of passengers with the help of changing the cost of travel, and so on.
Published in | International Journal of Data Science and Analysis (Volume 3, Issue 6) |
DOI | 10.11648/j.ijdsa.20170306.13 |
Page(s) | 77-84 |
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2017. Published by Science Publishing Group |
System of Routes, Transportation Efficiency, Fluctuations in Passenger Correspondence, Transport Process
[1] | Khan, A. M. (1981). II. Intercity passenger transportation: energy efficiency and conservation case study. Transportation Planning and Technology, 7(1), 1-9. |
[2] | Seedat, I. (1973). Implementing the 2007 Public Transport Strategy and Action Plan: transportation. Civil Engineering= Siviele Ingenieurswese, 15(9), 13-16. |
[3] | Crozet, Y. (2009). The prospects for inter-urban travel demand (Vol. 14). OECD Publishing. |
[4] | Nokandeh, M. M., Ghosh, I., & Chandra, S. (2015). Determination of Passenger-Car Units on Two-Lane Intercity Highways under Heterogeneous Traffic Conditions. Journal of Transportation Engineering, 142(2), 04015040. |
[5] | Schwieterman J. (2016) Intercity Buses: 2015 Was A Smooth Ride. New Geography Zuse Institute Berlin,; Markus Reuther Affiliation: Zuse Institute; Kerstin Waas Affiliation (2016): Integrated Optimization of Rolling Stock Rotations for Intercity Railways, Transportation Science, v50 n3 |
[6] | Li, T. (2016). A Demand Estimator Based on a Nested Logit Model. Transportation Science. |
[7] | Prasolenko, О., Lobashov, O., & Galkin, A. (2015). The Human Factor in Road Traffic City. International Journal of Automation, Control and Intelligent Systems, 1 (3), 77-84. |
[8] | Grigorova, T., Davidich, Y., & Dolya, V. (2015). Transport Fatigue Simulation of Passengers in Suburban Service. International Journal of Automation, Control and Intelligent Systems, 1 (2), 87-99. |
[9] | Andronov, A., & Santalova, D. (2009). On Nonlinear Regression Model for Correspondence Matrix of Transport Network. In Selected papers of the International Conference Applied Stochastic Models and Data Analysis (pp. 90-94). |
[10] | Grigorova, T., Davidich, Y., & Dolya, V. (2015) Assessment of elasticity of demand for services of suburban road passenger transport. Technology audit and production reserves, 3(2 (23)), 13-16. |
[11] | Park, M., & Hahn, J. (2015). Regional freight demand estimation using Korean commodity flow survey data. Transportation Research Procedia, 11, 504-514. |
[12] | Wu, C., Han, J., & Hayashi, Y. (2011). Airport attractiveness analysis through a gravity model: A case study of Chubu International Airport in Japan. In Proceedings of the Eastern Asia Society for Transportation Studies The 9th International Conference of Eastern Asia Society for Transportation Studies, 2011 (pp. 419-419). Eastern Asia Society for Transportation Studies. |
[13] | Vrtic, M., Fröhlich, P., Schüssler, N., Axhausen, K. W., Lohse, D., Schiller, C., & Teichert, H. (2007). Two – dimensionally constrained disaggregate trip generation, distribution and mode choice model: Theory and application for a Swiss national model. Transportation Research Part A: Policy and Practice, 41(9), 857–873. |
[14] | Baik, H., Trani, A., Hinze, N., Swingle, H., Ashiabor, S., & Seshadri, A. (2008). Forecasting model for air taxi, commercial airline, and automobile demand in the United States. Transportation Research Record: Journal of the Transportation Research Board, (2052), 9–20. |
[15] | Rwakarehe, E. E., Zhong, M., & Christie, J. (2014). Development of a Freight Demand Model for the Province of Alberta Using Public Sources of Data. Procedia-Social and Behavioral Sciences, 138, 695-705. |
[16] | Fornalchyk, Y., Bilous, A., & Demchuk, I. (2015). The Model of Correspondence of Passenger Transportation on the Basis of Fuzzy Logic. ECONTECHMOD: an international quarterly journal on economics of technology and modelling processes, 4. |
[17] | Li, T. (2016). A Demand Estimator Based on a Nested Logit Model. Transportation Science. |
APA Style
Dolia Kostiantyn. (2017). Variativity of the Transport System at Intercity Passenger Transport from the Demand. International Journal of Data Science and Analysis, 3(6), 77-84. https://doi.org/10.11648/j.ijdsa.20170306.13
ACS Style
Dolia Kostiantyn. Variativity of the Transport System at Intercity Passenger Transport from the Demand. Int. J. Data Sci. Anal. 2017, 3(6), 77-84. doi: 10.11648/j.ijdsa.20170306.13
AMA Style
Dolia Kostiantyn. Variativity of the Transport System at Intercity Passenger Transport from the Demand. Int J Data Sci Anal. 2017;3(6):77-84. doi: 10.11648/j.ijdsa.20170306.13
@article{10.11648/j.ijdsa.20170306.13, author = {Dolia Kostiantyn}, title = {Variativity of the Transport System at Intercity Passenger Transport from the Demand}, journal = {International Journal of Data Science and Analysis}, volume = {3}, number = {6}, pages = {77-84}, doi = {10.11648/j.ijdsa.20170306.13}, url = {https://doi.org/10.11648/j.ijdsa.20170306.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20170306.13}, abstract = {At this stage of development of intercity passenger transportion, there is a need to take into account fluctuations in demand for the services of carriers, which takes place over time. These fluctuations in demand are mostly tied to the onset of a period of nationwide or religious celebrations, the onset of a period of mass holidays, sports and cultural events of state or interstate significance, and so on. Therefore, such existing fluctuations in demand of passengers for the use of public routes in long-distance communication should be taken into account when planning the activity for the management of passenger traffic. In order to meet the needs of passengers for transportation, taking into account the available fluctuations in demand, certain decisions can be taken on the changes in the parameters of the components of the transport system. Such changes include changes in the number or type of rolling stock, timetables, changes in traffic patterns, the introduction of temporary routes, restrictions on the purchasing power of passengers with the help of changing the cost of travel, and so on.}, year = {2017} }
TY - JOUR T1 - Variativity of the Transport System at Intercity Passenger Transport from the Demand AU - Dolia Kostiantyn Y1 - 2017/11/25 PY - 2017 N1 - https://doi.org/10.11648/j.ijdsa.20170306.13 DO - 10.11648/j.ijdsa.20170306.13 T2 - International Journal of Data Science and Analysis JF - International Journal of Data Science and Analysis JO - International Journal of Data Science and Analysis SP - 77 EP - 84 PB - Science Publishing Group SN - 2575-1891 UR - https://doi.org/10.11648/j.ijdsa.20170306.13 AB - At this stage of development of intercity passenger transportion, there is a need to take into account fluctuations in demand for the services of carriers, which takes place over time. These fluctuations in demand are mostly tied to the onset of a period of nationwide or religious celebrations, the onset of a period of mass holidays, sports and cultural events of state or interstate significance, and so on. Therefore, such existing fluctuations in demand of passengers for the use of public routes in long-distance communication should be taken into account when planning the activity for the management of passenger traffic. In order to meet the needs of passengers for transportation, taking into account the available fluctuations in demand, certain decisions can be taken on the changes in the parameters of the components of the transport system. Such changes include changes in the number or type of rolling stock, timetables, changes in traffic patterns, the introduction of temporary routes, restrictions on the purchasing power of passengers with the help of changing the cost of travel, and so on. VL - 3 IS - 6 ER -