Public transport (PT) subsidy provides the means to impose the optimal combination of fare and Level of Service (LoS) offered to passengers. In regions where one PT operator services multiple local communities on multiple lines it becomes hard to uniformly link the actual cost of a line and thus the LoS offered, to a particular local community. This leads to possible disproportions in the overall subsidy distribution that can result in being unfair to some local communities, mainly the ones that are sparsely populated or geographically isolated. In order to extricate this problem the appropriate level of PT subsidisation according to the average values in the European cities was investigated and the current subsidy policies in Croatia were investigated. Based on this research and the hypothesis that the offered LoS must be reflected in the subsidy amount a new subsidy distribution model was established that involves a series of analytical procedures and processes. This model introduces several factors used for the calculation of the actual share in costs. Thus, the amount of subsidies for individual lines in a region can be determined based on the actual service offered to the local community, The proposed model has been tested and successfully implemented in the Dubrovnik-Neretva County in the Republic of Croatia.
Vuchic VR. Urban transit: operations, planning, and economics. Hoboken: John Wiley & Sons; 2005. p. 664.
Vuchic VR. Urban Transit Systems and Technology. 1st Editio. John Wiley & Sons; 2007. p. 624.
Fawcett P. Managing passenger logistics: the comprehensive guide to people and transport. London, UK: Kogan Page Ltd.; 2000. p. 214.
Hanson S, Giuliano G. The geography of urban transportation. New York, USA: The Guilford Press; 2004. p. 419.
Ibarra-Rojas OJ, Rios-Solis YA. Synchronization of bus timetabling. Transportation Research Part B: Methodological. 2012;46:599-614.
Tirachini A, Hensher DA. Bus congestion, optimal infrastructure investment and the choice of a fare collection system in dedicated bus corridors. Transportation Research Part B: Methodological. 2011;45:828-44.
Kim M, Schonfeld P. Conventional, flexible, and variable-type bus services. Journal of Transportation Engineering. 2011;138:263-73.
Van Reeven P. Subsidisation of Urban Public Transport and the Mohring Effect. Journal of Transport Economics and Policy. 2008;42:349-59.
Basso LJ, Jara-Diaz SR. The Case for Subsidisation of Urban Public Transport and the Mohring Effect. Journal of Transport Economics and Policy. 2010;44:365-72.
Savage I, Small KA. A Comment on ‘Subsidisation of Urban Public Transport and the Mohring Effect. Journal of Transport Economics and Policy. 2010;44:373-80.
Buehler R, Pucher J. Making public transport financially sustainable. Transport Policy. 2011;18:126-38.
Currie G. Quantifying spatial gaps in public transport supply based on social needs. Journal of Transport Geography. 2010;18:31-41.
Albalate D, Bel G. Tourism and urban public transport: Holding demand pressure under supply constraints. Tourism Management. 2010;31:425-33.
Reynolds-Feighan A, Durkan J. Comparison of subvention levels for public transport systems in European cities. 2000.
European Metropolitan Transport Authorities – (EMTA). EMTA barometer of Public Transport in European Metropolitan areas in 2006. 2009 p. 52.
Button KJ, Hensher DA. Handbook of Transport Systems and Traffic Control. Elsevier Science; 2001. p. 602.
Institute of Transportation Engineers. Traffic Engineering Handbook. 5th ed. Pline JL, editor. 1999.
Tirachini A, Hensher D, Rose J. Multimodal pricing and optimal design of urban public transport: The interplay between traffic congestion and bus crowding. Transportation Research Part B: Methodological. 2014;61:33-54.
Association of Housing and Utility Services for Public Transport sector. Reports on the operations of carriers to local governments. 2011.
Brčić D, Ševrović M, Ćosić M, Dlesk Z. Analysis of traffic supply in urban and suburban areas by Libertas - Dubrovnik ltd. with proposed cost allocation model to local municipalities in the Dubrovačko - Neretvanska County. Zagreb, Croatia; 2011.
Kos G, Brlek P, Ševrović M. Public Transport off Passengers by Sea in the Maritime Part of Croatia. ICTS 2009 - Prometna znanost, stroka in praksa - Transport science, profession and practice. Portorož, Slovenia; 2009.
Kos G, Brlek P, Franolić I. Rationalization of Public Road Passenger Transport by Merging Bus Lines on the Example of Zadar County. Promet - Traffic & Transportation. 2012;24(4):323-334.
Daly AJ. Improved Methods for Trip Generation. Transportation planning methods Volume 11. Proceedings of seminar F held at PTRC European Transport Forum, Brunel University, England, 1-5 September 1997. Volume P415 [Internet]. 1998 [cited 2014 Oct 31]. p. 207-22. Available from: http://trid.trb.org/view.aspx?id=504387
Yao L, Guan H, Yan H. Trip Generation Model Based on Destination Attractiveness. Tsinghua Science & Technology [Internet]. 2008 [cited 2014 Oct 31]; Available from: http://www.sciencedirect.com/science/article/pii/S1007021408701019
Institute of Transportation Engineers. Trip Generation. 8th editio. Washington, DC: Institute of Transportation Engineers; 2008. p. 1925.
Small K. Urban transportation economics. Taylor & Francis; 2013.
Čorak S, Marušić Z, others. TOMAS Summer 2010 - Research of attitudes and consumption of tourists in Croatia during the summer of 2010. Zagreb, Croatia; 2011.
Kaddoura I, Kickhöfer B, Neumann A, Tirachini A. Optimal public transport pricing: Towards an agent-based marginal social cost approach. hEART 2013 -- 2nd Symposium of the European Association for Research in Transportation. Stockholm; 2013.
Guest Editor: Eleonora Papadimitriou, PhD
Editors: Dario Babić, PhD; Marko Matulin, PhD; Marko Ševrović, PhD.
Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal