DOI: https://doi.org/10.15587/2312-8372.2017.108889

Investigation of approaches to modeling of intercity passenger transportation system

Constantine Dolya, Anastasiia Botsman, Viktoriia Kozhyna

Abstract


The modern scientific approaches to the issue of establishing passenger correspondence using public routes between regional centers are investigated. The results of the analysis of the existing methods for calculating the correspondence of passengers find the impossibility of their implementation without a preliminary study of the features of the system and formalization of corrective coefficients - the components of the gravity functions. It is established that at present in the world practice gravitational modeling is used for forecasting the indicators of interregional passenger transport correspondence.

An empirical method is used to establish the parameters of the quantitative index of the gravity function. Unlike previous researchers, used for the invention of the parameters of the function of the attraction approach allows to obtain new knowledge about the studied system. Without the use of automated or non-automated means for examining the correspondence of passengers, it is possible to obtain indicators of the parameters of the experimental system without the influence of the human factor and any time interval.

The obtained research results provide an opportunity to carry out calculations of the correspondence of passengers between the regional centers of Ukraine on the routes of general transport using the gravity model. Unknown parameters of gravity function are established in the conducted research. They provide an opportunity in forecasting the correspondence of passengers in the investigated system.


Keywords


transport system; gravity model; passenger transport correspondence; intercity transportation

References


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Dave, S. M., Raykundaliya, D. P., Shah, S. N. (2013). Modeling Trip Attributes and Feasibility Study of co-ordinated Bus for School Trips of Children. Procedia – Social and Behavioral Sciences, 104, 650–659. doi:10.1016/j.sbspro.2013.11.159

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Kabashkin, I. (2015). Modelling of Regional Transit Multimodal Transport Accessibility with Petri Net Simulation. Procedia Computer Science, 77, 151–157. doi:10.1016/j.procs.2015.12.373

Essadeq, I., Dubail, E., Jeanniere, E. (2016). Modelling Passenger Congestion in Transit System – Benchmark and Three Case Studies. Transportation Research Procedia, 14, 1792–1801. doi:10.1016/j.trpro.2016.05.145

Brands, T., de Romph, E., Veitch, T., Cook, J. (2014). Modelling Public Transport Route Choice, with Multiple Access and Egress Modes. Transportation Research Procedia, 1 (1), 12–23. doi:10.1016/j.trpro.2014.07.003

Panasyuk, M. V., Pudovik, E. M., Sabirova, M. E. (2013). Optimization of Regional Passenger Bus Traffic Network. Procedia Economics and Finance, 5, 589–596. doi:10.1016/s2212-5671(13)00069-5

Hadas, Y., Rossi, R., Gastaldi, M., Gecchele, G. (2014). Public Transport Systems’ Connectivity: Spatiotemporal Analysis and Failure Detection. Transportation Research Procedia, 3, 309–318. doi:10.1016/j.trpro.2014.10.011

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. doi:10.3141/2052-02

Terekhov, I., Gollnick, V. (2015). A concept of forecasting origin-destination air passenger demand between global city pairs using future socio-economic scenarios. 53rd AIAA Aerospace Sciences Meeting. American Institute of Aeronautics and Astronautics, 1640. doi:10.2514/6.2015-1640

Dolya, C. (2017). Modeling of passenger transport correspondence between regional centers in Ukraine. Technology Audit and Production Reserves, 1(2(33)), 44–48. doi:10.15587/2312-8372.2017.93458

Dolya, C. (2017). Modeling of intercity passenger transportation system. Technology Audit and Production Reserves, 2(2(34)), 37–43. doi:10.15587/2312-8372.2017.100465

Xiao-qiang, L., Lei, W. (2015). The Passenger Demand Prediction for Airport Line of Rail Traffic. Metallurgical and Mining Industry, 9, 651–657.

Mao, L., Wu, X., Huang, Z., Tatem, A. J. (2015). Modeling monthly flows of global air travel passengers: An open-access data resource. Journal of Transport Geography, 48, 52–60. doi:10.1016/j.jtrangeo.2015.08.017

Park, M., Hahn, J. (2015). Regional Freight Demand Estimation Using Korean Commodity Flow Survey Data. Transportation Research Procedia, 11, 504–514. doi:10.1016/j.trpro.2015.12.042

Schwieterman, J. (02.10.2016). Intercity Buses: 2015 Was A Smooth Ride. New Geography. Available: http://www.newgeography.com/content/005157-intercity-buses-2015-was-a-smooth-ride

Li, T. (2017). A Demand Estimator Based on a Nested Logit Model. Transportation Science, 51 (3), 918–930. doi:10.1287/trsc.2016.0671


GOST Style Citations


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Hadas, Y. Public Transport Systems’ Connectivity: Spatiotemporal Analysis and Failure Detection [Text] / Y. Hadas, R. Rossi, M. Gastaldi, G. Gecchele // Journal of Transportation Research Procedia. – 2014. – Vol. 3. – P. 309–318. doi:10.1016/j.trpro.2014.10.011

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Dolya, C. Modeling of passenger transport correspondence between regional centers in Ukraine [Text] / C. Dolya // Technology Audit and Production. – 2017. – Vol. 1, No. 2 (33). – P. 44–48. doi:10.15587/2312-8372.2017.93458

Dolya, C. Modeling of intercity passenger transportation system [Text] / C. Dolya // Technology Audit and Production Reserves. – 2017. – Vol. 2, No. 2 (34). – P. 37–43. doi:10.15587/2312-8372.2017.100465

Xiao-qiang, L. The Passenger Demand Prediction for Airport Line of Rail Traffic [Text] / L. Xiao-qiang, W. Lei // Metallurgical and Mining Industry. –2015. – No. 9. – P. 651–657.

Mao, L. Modeling monthly flows of global air travel passengers: An open-access data resource [Text] / L. Mao, X. Wu, Z. Huang, A. J. Tatem // Journal of Transport Geography. – 2015. – Vol. 48. – P. 52–60. doi:10.1016/j.jtrangeo.2015.08.017

Park, M. Regional Freight Demand Estimation Using Korean Commodity Flow Survey Data [Text] / M. Park, J. Hahn // Journal of Transportation Research Procedia. – 2015. – Vol. 11. – P. 504–514. doi:10.1016/j.trpro.2015.12.042

Schwieterman, J. Intercity Buses: 2015 Was A Smooth Ride [Electronic resource] / J. Schwieterman // New Geography. – 02.10.2016. – Available at: \www/URL: http://www.newgeography.com/content/005157-intercity-buses-2015-was-a-smooth-ride

Li, T. A Demand Estimator Based on a Nested Logit Model [Text] / T. Li // Transportation Science. – 2017. – Vol. 51, No. 3. – P. 918–930. doi:10.1287/trsc.2016.0671







Copyright (c) 2017 Constantine Dolya, Anastasiia Botsman, Viktoriia Kozhyna

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ISSN (print) 2226-3780, ISSN (on-line) 2312-8372