Logistics management of the rail connections using graph theory: the case of a public transportation company on the example of Koleje Dolnośląskie S.A.

• Autorzy: Sobczak P. , Stawiarska E. , Oláh J. , Popp J. , Kliestik T.

Identyfikatory

DOI

10.2478/emj-2018-0013

• Języki publikacji: EN

Abstrakty

EN

The main purpose of the paper was the structural analysis of the connections network used by a railway carrier Koleje Dolnośląskie S.A. operating in southern Poland. The analysis used simulation methods. The analysis and simulation were based on graph theory, which is successfully used in analysing a wide variety of networks (social, biological, computer, virtual and transportation networks). The paper presents indicators which allow judging the analysed connections network according to an appropriate level of transport services. Simulation results allowed proposing some modifications for the improvement of the analysed connections network. The paper also demonstrates that graph theory and network simulations should be used as tools by transportation companies during the stage of planning a connections network.

Słowa kluczowe

EN

Koleje Dolnośląskie; railway transport; structural analysis of network; transport company management; transport network

PL

Koleje Dolnośląskie; transport kolejowy; analiza strukturalna sieci; zarządzanie firmą transportową; sieć transportowa

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Engineering Management in Production and Services
• Rocznik: 2018
• Tom: Vol. 10, no. 3
• Strony: 7--22
• Opis fizyczny: Bibliogr. 38 poz., rys., tab.

Twórcy

autor

Sobczak P.

• WSB University, Faculty of Applied Sciences, Department of Engineering Management and Logistics Processes, Poland

autor

Stawiarska E.

• Silesian University of Technology, Faculty of Organisation and Management, Institute of Management, Administration and Logistics, Poland

autor

Oláh J.

• University of Debrecen, Faculty of Economics and Business, Hungary

autor

Popp J.

• University of Debrecen, Faculty of Economics and Business, Hungary

autor

Kliestik T.

• School of Expertness and Valuation, Institute of Technology and Business in Ceske Budejovice, Czechia

Bibliografia

• Amaral, L., Scala, A., Barthelemy, M., & Stanley, H.E. (2000). Classes of small-world networks. Proceedings of the National Academy of Sciences of the United States of America, 97(21), 11149-11152.
• Arenas, A., Danon, L., Diaz-Guilera, A., Gleiser, P.M., & Guimera, R. (2003). Community analysis in social networks. European Physical Journal B, 38(2), 373-380.
• Badura, D. (2017). Urban traffic modeling and simulation. Forum Scientiae Oeconomia, 5(4), 85-97.
• Bukowski, L. (2014). Total Logistic Management: istota koncepcji Kompleksowego Zarządzania Logistycznego [Total Logistic Management: Core Fundamentals of Total Logistic Management]. Czasopismo Logistyka, 4(2), 1705-1712.
• Bukowski, L. (2015). Concept of the quantitative risk generalized model assessment. Forum Scientiae Oeconomia, 3(2), 5-16.
• Bullmore, E., & Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews. Neurology, 10(3), 186-198.
• Butts, C.T. (2008). Social network analysis, A methodological introduction. Asian Journal Of Social Psychology, 11, 13-41.
• Dunn, S., & Wilkinson, S. (2017). Hazard tolerance of spatially distributed complex networks. Reliability Engineering and System Safety, 157, 1-12.
• Eusgeld, I., Kroger, W., Sansavini, G., Schlapfer, M., & Zio, E. (2009). The role of network theory and object-orientated modeling within a frame work for the vulnerability analysis of critical infrastructures. Reliability Engineering and System Safety, 92(5), 954-63.
• Gephi. (2018). Gephi forums. Retrieved from http://forumgephi.org
• Heymann, S. (2015). Gephi. GitHub. Retireved from https://github.com/gephi/gephi/wiki
• Kerap, S., Pangemanan, S., & Tumiwa, J. (2017). Analysing logistic management of culinary small and medium enterprises in Manado. Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi, 5(2), 2569-2578.
• Koleje Dolnośląskie S.A. [Lower Silesian Railways]. (2016). Koleje Dolnośląskie. Raport Roczny 2016 [Lower Silesian Railways. Annual Report 2016]. Retrieved from https://m.kolejedolnoslaskie.eu/pl
• Koleje Dolnośląskie S.A. [Lower Silesian Railways]. (2018). Diagram of the connection network of Koleje Dolnośląskie. Retrieved from https://www.kolejedolnoslaskie.eu/pl/rozk%C5%82ad-jazdy/mapapo%C5%82%C4%85cze%C5%84.html
• Krykawskyy, Y., Margita, N., & Voronina, R. (2015). Research of urban logistics indices assessment. Forum Scientiae Oeconomia, 3(2), 55-64.
• La Rovere, S., & Vestrucci, P. (2012). Investigation of the structure of a networked system. Reliability Engineering and System Safety, 107, 214-223.
• Li, H., Guo, X M., Xu, Z., & Hu, X.B. (2014). A study on the spatial vulnerability of the civil aviation network system in China. Proceedings of the IEEE 17th international conference on intelligent transportation systems, Qingdao, 2650-2655.
• Mesjasz-Lech, A. (2014). Development of public transport in the city – a challenge for urban logistics in terms of sustainable development. Forum Scientiae Oeconomia, 2(4), 63-75.
• Newman, M.E.J. (2010). Networks: An Introduction. New York, USA: Oxford University Press.
• Newman, M.E.J., Watts, D.J., & Strogatz, S.H. (2002). Random graph models of social networks. Proceedings of the National Academy of Sciences of the United States of America, 99(1), 2566-2572.
• Ogólnopolska baza kolejowa [National Railway Database]. (2018). Railway network in the Lower Silesia Voivodeship. Retrieved from: http://www.bazakolejowa.pl
• Otte, E., & Rousseau, R. (2002). Social network analysis. A powerful strategy, also for the information sciences. Journal of Information Science, 28, 441-453.
• Ouyang, M., Pan, Z., Hong, L., & He, Y. (2015). Vulnerability analysis of complementary transportation systems with applications to railway and airline systems in China. Reliability Engineering & System Safety, 142, 248-257.
• Popp, J., Balogh, P., Oláh, J., Lengyel, P. (2018). Social Network Analysis of Scientific Articles Published by Food Policy. Sustainability, 10(3), 577-797.
• Royal Academy of Engineering. (2011). Infrastructure engineering and climate change adaptation – ensuring services in an uncertain future. London, England: The Royal Academy of Engineering. Retrieved from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/183536/infrastructure-rae-report.pdf
• Rual, J.-F., Venkatesan, K., Hao, T., Hirozane-Kishikawa, T., Dricot, A., Li, N., Berriz, G.F., Gibbons, F.D., Dreze, M., Ayivi-Guedehoussou, N., Klitgord, N., Simon, C., Boxem, M., Milstein, S., Rosenberg, J., Goldberg, D.S., Zhang, L.V., Wong, S.L., Franklin, G., Li, S., Albala, J.S., Lim, J., Fraughton, C., Llamosas, E., Cevik, S., Bex, C., Lamesch, P., Sikorski, R.S., Vandenhaute, J., Zoghbi, H.Y., Smolyar, A., Bosak, S., Sequerra, R., Doucette-Stamm, L., Cusick, M.E., Hill, D.E., Roth, F.P., & Vidal, M. (2005). Towards a proteomescale map of the human protein-protein interaction network. Nature, 437(7062), 1173-1178.
• Sobczak, P. (2017). Analiza strukturalna sieci transportowej Kolei Mazowieckich [Structural Analysis of Koleje Mazowieckie Transport Network]. Zeszyty Naukowe Politechniki Śląskiej Seria: Organizacja i Zarządzanie, 103, 217-230.
• Sołtysik, M. (2000). Zarządzanie logistyczne [Logistics management]. Katowice, Poland: Wydawnictwo Akademii Ekonomicznej im. Karola Adamieckiego.
• Sporns, O. (2002). Network analysis, complexity, and brain function. Complexity, 8(1), 56-60.
• Stam, C.J., & Reijneveld, J.C. (2007). Graph theoretical analysis of complex networks in the brain. Nonlinear Biomedical Physics, 1(3), 1-19.
• Stawiarska, E., & Sobczak, P. (2018). The Impact of Intelligent Transportation System Implementations on the Sustainable Growth of Passenger Transport in EU Regions. Sustainability, 10, 1318.
• Szołtysek, J. (2014). Mobility – a challenge for cities. Forum Scientiae Oeconomia, 2(4), 19-33.
• Tarapata, Z. (2015). Modelling and analysis of transportation networks using complex networks: Poland case study. The Archives of Transport, 36(4), 55-65.
• Urząd Transportu Kolejowego UTK [Polish Office of Rail Transport]. (2018). Statistical data. Retrieved from https://www.utk.gov.pl
• Valverde, S., & Solé, R.V. (2003). Hierarchical small worlds in software architecture. Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms, 14(S6), 1-11.
• Wilkinson, S., Dunn, S., & Ma, S. (2012). The vulnerability of the European air traffic network to spatial hazards. Natural Hazards, 60(3), 1027-1036.
• Witkowski, J. (1995). Strategia logistyczna przedsiębiorstw przemysłowych [Logistics strategy of industrial enterprises]. Wrocław, Poland: Wydawnictwo Akademii Ekonomicznej we Wrocławiu.
• Zirkelbach, C., Hasselbring, W., & Carr, L. (2015). Combining Kieker with Gephi for Performance Analysis and Interactive Trace Visualization. Symposium on Software Performance: Joint Developer and Community Meeting of Descartes/Kieker/Palladio, 26-28

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).