Developmental Analysis of Park-and-Ride Facilities in Vilnius

  • Vytautas Palevičius Vilnius Gediminas Technical University
  • Vytautas Grigonis Vilnius Gediminas Technical University
  • Askoldas Podviezko Vilnius Gediminas Technical University
  • Greta Barauskaitė Vilnius Gediminas Technical University
Keywords: multi-criteria methods, P&R scheme, planning urban infrastructure, public transport,


A rapid growth in car ownership in the cities of Lithuania, particularly in Vilnius, has generated continuous traffic jams in the streets and thus has consequently increased negative transport impact and demand for financial and land resources. Also, a high level of car ownership requires large reserves of transport infrastructure. Therefore, it is necessary to create favourable conditions for creating sustainable urban transport infrastructure satisfying the needs of local inhabitants. Within the framework of the European Union Structural Assistance for the period 2014-2020, Vilnius city municipality administration is planning to submit an application to receive financial support for the implementation of the Park-and-Ride (hereinafter P&R) scheme for Vilnius. The aim of the paper is to work out a multi-criteria methodology for selecting the sites of P&R lots and to carry out a developmental analysis of P&R facilities by creating the above introduced scheme for parking lots in the Vilnius City. The expert method has been used for utilizing a set of relevant criteria for planning the P&R scheme. With the help of the expert
survey, the weights and significance of the defined criteria have been identified. Multi-criteria methods have been applied for calculating and presenting the developmental priorities and a strategy for the implementation of the offered proposals.

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Vytautas Palevičius, Vilnius Gediminas Technical University
Department of Urban Engineering, Vilnius Gediminas Technical University. Associated professor, dr.
Vytautas Grigonis, Vilnius Gediminas Technical University
Department of Urban Engineering, Vilnius Gediminas Technical University. Associate professor, dr.
Askoldas Podviezko, Vilnius Gediminas Technical University
Department of Social Economics and Management, Vilnius Gediminas Technical University. Associate professor, dr.
Greta Barauskaitė, Vilnius Gediminas Technical University
Department of Urban Engineering, Vilnius Gediminas Technical University. MSc


Grigonis V, Burinskiene M, Paliulis G, Uspalyte-Vitkuniene R, Dumbliauskas V, Barauskas A. Modelling a passenger car system based on the principles of sustainable mobility in Vilnius City. Transport. 2014 Sep;29(3):334-341.

Burinskiene M, Uspalyts-Vitkuniene R, Tuminiene F. Public Transport Integration into Urban Planning. The Baltic Journal of Road and Bridge Engineering. 2011;6(2):84-90.

Hickman R, Hall P, Banister D. Planning more for sustainable mobility. Journal of Transport Geography. 2013 Dec;33:210-219.

Noel EC. Park-and-ride: alive, well, and expanding in the United States. Journal of Urban Planning and Development. 1988 June;114(1):2-13.

Wang JY, Yang H, Lindsey R. Locating and pricing park-and-ride facilities in a linear monocentric city with deterministic mode choice. Transportation Research Part B: Methodological. 2004 Sep;38(8):709-731.

Štefančić G, Šarić S, Spudić R. Correlation between Land Use and Urban Public Transport: Case Study of Zagreb. Promet – Traffic & Transportation. 2014 Apr;26(2):179-184.

Dijk M, de Haes J, Montalvo C. Park-and-Ride motivations and air quality norms in Europe. Journal of Transport Geography. 2013 June;30:149-160.

Liu Z, Meng Q. Bus-based park-and-ride system: a stochastic model on multimodal network with congestion pricing schemes. International Journal of Systems Science. 2014;45(5):994-1006.

Du B, Wang DZ. Continuum modeling of park-and-ride services considering travel time reliability and heterogeneous commuters – A linear complementarity system approach. Transportation Research Part E: Logistics and Transportation Review. 2014 Nov;71:58-81.

Wang H, Meng Q, Zhang XN. Park-and-Ride Network Equilibrium with Heterogeneous Commuters and Parking Space Constraint. Transportation Research Record: Journal of the Transportation Research Board. 2014;2466:87-97.

Clayton W, Ben-Elia E, Parkhurst G, Ricci M. Where to park? A behavioural comparison of bus Park and Ride and city centre car park usage in Bath, UK. Journal of Transport Geography. 2014 Apr;36:124-133.

Yushimito WF, Aros-Vera F, Reilly JJ. User rationality and optimal park-and-ride location under potential demand maximization. Transportation Research Part B: Methodological. 2012 Sep;46(8):949-970.

Dickins IS. Park and ride facilities on light rail transit systems. Transportation. 1991 Mar;18(1):23-36.

Mingardo G. Transport and environmental effects of rail-based Park and Ride: evidence from the Netherlands. Journal of Transport Geography. 2013


Meek S, Ison S, Enoch M. UK local authority attitudes to Park and Ride. Journal of Transport Geography. 2010 May;18(3):372-381.

Chen G, Zhou YJ, Cheng JX. Evaluation on the relative transfer efficiency of urban peripheral park and ride facilities. Journal of Traffic and Transportation. 2005 Jan;7:10-13.

Parkhurst G. Influence of bus-based park and ride facilities on users’ car traffic. Transport Policy. 2000 Apr;7(2):159-172.

Basarić V, Mitrović J, Papić Z. Passenger car usage for commuting to work as a function of limited stay at car parks. Promet – Traffic & Transportation. 2013 May;25(4):323-330.

Farhan B, Murray AT. Siting park-and-ride facilities using a multi-objective spatial optimization model. Computers & Operations Research. 2008 Feb;35(2):445-456.

Khakbaz A, Nookabadi AS, Shetab-bushehri SN. A Model for Locating Park-and-Ride Facilities on Urban Networks Based on Maximizing Flow Capture: A Case Study of Isfahan, Iran. Networks and Spatial Economics. 2013 Mar;13(1):43-66.

Fan W, Khan M, Ma J, Jiang X. Bilevel Programming Model for Locating Park-and-Ride Facilities. Journal of Urban Planning and Development. 2014 Sep;140(3):04014007.

Zavadskas EK, Turskis Z, Kildiene S. State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy. 2014 Mar;20(1):165-79.

Kendall M. Rank correlation methods. London: Griffin; 1970.

Podvezko V. Agreement of expert estimates. Economic Development of Economy. 2005;11(2):101-7.

Saaty TL. The Analytic Hierarchy Process. New York: McGraw Hill; 1980.

Podvezko V, Sivilevicius H. The use of AHP and rank correlation methods for determining the significance of the interaction between the elements of a transport system having a strong influence on traffic safety. Transport. 2013 Dec;28(4):389-403.

Hwang CL, Yoon K. Multiple Attribute Decision Making Methods and Applications. Berlin: Springer-Verlag; 1981.

Opricovic S, Tzeng G-H. Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research. 2004 July;156(2):445-55.

Brauers W, Ginevicius R, Podviezko A. Development of a methodology of evaluation of financial stability of commercial banks. Panoeconomicus. 2014;61(3):349-67.

Podviezko, A. Augmenting multicriteria decision aid methods by graphical and analytical reporting tools. In: Workshops on Business Informatics Research. Springer Berlin Heidelberg, 2012; p. 236-51.

Podvezko V, Podviezko A. Use and Choice of Preference Functions for Evaluation of Characteristics of Socio-Economical Processes. In: Ginevicius R, Rutkauskas AV, Pocs R, editors. 6th Int. Sci. Conf. Bus. Manag. Sel. Pap. Vilnius, Lithuania: Technika, 2010; p. 1066-71.

Podviezko A, Podvezko V. Absolute and Relative Evaluation of Socio-Economic Objects Based on Multiple Criteria Decision Making Methods. Engineering Economics. 2014;25(5):522-9.

How to Cite
Palevičius V, Grigonis V, Podviezko A, Barauskaitė G. Developmental Analysis of Park-and-Ride Facilities in Vilnius. Promet [Internet]. 2016Mar.7 [cited 2024May30];28(2):165-78. Available from:

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