Express Services Market Analysis Based on the Lotka-Volterra Model – Case Study Serbia

  • Bojan Jovanović University of Novi Sad, Faculty of Technical Sciences
  • Katarina Mostarac University of Zagreb, Faculty of Transport and Traffic Sciences
  • Dragana Šarac University of Novi Sad, Faculty of Technical Sciences
  • Estera Rakić Hrvatska poÅ¡ta d.d.
Keywords: express services, Lotka–Volterra model, competition, equilibrium,

Abstract

This paper provides a preview of the former stages through which the market of express postal services had gone and the possibilities of further development, both on the global and local level. The aim of this paper is to complete an estimation of the need for this type of express services using the competitive Lotka–Volterra model in Serbia. In order to reduce the complexity of the process, the division of competition was conducted in two segments: the public operator and the private segment (comprised of all private operators). The given model provides a description of a dynamic competition relationship by indicating the existence of the equilibrium point between the public and the private sectors, and the conditions of its stability. The obtained values indicate that the private sector affects the public operator. The existing predator-prey relationship gives preference to the private sector and can be described by the Lotka-Volterra model.

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Bojan Jovanović, University of Novi Sad, Faculty of Technical Sciences
Assistant
Katarina Mostarac, University of Zagreb, Faculty of Transport and Traffic Sciences
Assistant
Dragana Šarac, University of Novi Sad, Faculty of Technical Sciences
Assistant professor
Estera Rakić, Hrvatska poÅ¡ta d.d.

Executive Director

References

Brandt T. Liberalisation, privatisation and regulation of postal services in Europe–First international experiences in the run-up to new European regulations. PIQUE discussion paper. Düsseldorf; 2007. Available from: http://www.postinsight.com/files/wsi_pj_piq_post_europe.pdf

Oxford Economic Forecasting.The impact of the express delivery industry on the global economy; 2005. Available from: http://www.global-express.org/doc/Global_Express_Impact_Study.pdf

WTO. Postal and Courier Services. Note by the Secretariat- S/C/W/319; 2010.

Oxford Economic. The economic impact of express carriers in Europe; 2011. Available from: http://www.euroexpress.org/uploads/ELibrary/EEA_RA2011_LR.pdf

Directive 2002/39/EC of the European Parliament and of the Council of 10 June 2002.

Directive 2008/6/EC of the European Parliament and of the Council of 20 February 2008.

Directive 97/67/EC of the European Parliament and of the Council of 15 December 1997.

Ofcom. Communications market report 2012. Available from: http://stakeholders.ofcom.org.uk/binaries/research/cmr/cmr12/CMR_UK_2012.pdf

Oxford Economic Forecasting. The economic impact of express carriers in Europe; 2004. Available from: http://www.euroexpress.org/uploads/ELibrary/The%20Economic%20Impact%20of%20Express%20Carriers%20in%20Europe.pdf

Winkelmann M, Schönershoven T, Lauerbach E, Dihel O, Niederprüm A, Dieke A, Junk P. The Evolution of the European Postal Market since 1997. Study for the European Commission. DG Internal Market and Services. Hamburg; 2009.

Strategy on Postal Services Development in Serbia 2013-2016 [in Serbian]. Serbian Government; 2013. Available from: http://mtt.gov.rs/download/3/Strategija%20razvoja%20postanskih%20usluga%20u%20Srbiji%20za%20period%202013-2016%20%20godine.pdf

Baláž V, Williams AM. Diffusion and competition of voice communication technologies in the Czech and Slovak Republics, 1948–2009. Technol. Forecast. Soc. Change. 2012;79(2):393-404.

Kim J, Lee DJ, Ahn J. A dynamic competition analysis on the Korean mobile phone market using competitive diffusion model. Comput. Ind. Eng. 2006;51(1):174-182.

Morris SA, Pratt D. Analysis of the Lotka–Volterra competition equations as a technological substitution model. Technol. Forecast. Soc. Change. 2003;70(2):103-133.

Lee S, Lee D, Oh H. Technological forecasting at the Korean stock market: a dynamic competition analysis using Lotka–Volterra model. Technol. Forecast. Soc. Change. 2005;72(8):1044-1057.

Murray JD. Mathematical biology: I. An Introduction, 3rd ed. Springer-Verlag; 2002.

Leslie PH. A stochastic model for studying the properties of certain biological systems by numerical methods. Biometrika. 1985;45(1/2):16-31.

Modis T. Technological forecasting at the stock market. Technol. Forecast. Soc. Change.1999;62(3):173-202.

Lourakis MI. A brief description of the Levenberg-Marquardt algorithm implemented by levmar. Institute of Computer Science. Foundation for Research and Technology 11; 2005.

Press WH, Flannery BP, Teukolsky SA, Vetterling WT. Numerical Recipes in Fortran 77. The Art of Scientific Computing. 2nd ed. Cambridge University Press; 1992.

Lewis CD. Industrial and Business Forecasting Methods. Oxford: Butterworth-Heinemann; 1982.

Tsai BH, Li Y. Cluster evolution of IC industry from Taiwan to China. Technol. Forecast. Soc. Change. 2009;76(8):1092-1104.

Published
2015-04-24
How to Cite
1.
Jovanović B, Mostarac K, Šarac D, Rakić E. Express Services Market Analysis Based on the Lotka-Volterra Model – Case Study Serbia. Promet [Internet]. 2015Apr.24 [cited 2024Apr.20];27(2):173-80. Available from: http://traffic.fpz.hr/index.php/PROMTT/article/view/1608
Section
Articles

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