Multi-criteria Analysis of Indicators of the Public Transport Infrastructure
Abstract
Public transport is a key element of sustainable transport in medium and large cities. Therefore, it is important that city residents want to use it. This paper aims to determine the criteria of the public transport infrastructure which have the most influence on passenger satisfaction with the public transport system. The criteria of public transport infrastructure of stops, vehicles, and route network were analysed. The primary attention was focused on rating these criteria from the most to the least important one. The analysis of scientific papers, specialized literature, Europe Union regulations, Lithuanian legislation, and recommendations were used to explore the necessary criteria that have a significant effect on the popularity of public transport, its functionality and gives a reference on how to raise the willingness of the citizens to use public transport. The experts (14 experts were involved) and social surveys (440 respondents were involved) were used to identify the evaluation criteria of public transport infrastructure and to investigate the state of these criteria. These criteria were grouped into three larger groups according to their nature (public transport infrastructure of stops, vehicles and route network) and were rated and prioritized by the multi-criteria analysis. The results reflect the priorities of criteria parameters of public transport infrastructure. The results show that when investing in public transport infrastructure, the main priority should be attributed to the infrastructure elements, such as public transport priority in the streets, then shelters, lighting, cleanness of bus stops and vehicles, which are physically appreciable. These parameters have the most significant impact on improving the level of service of public transport infrastructure in urban areas.
References
Uspalyte-Vitkuniene R, Vitkunas S. Public Transport Systems in Baltic States. In: Proceedings of the 7th International Conference of Environmental Engineering, 22-23 May 2008, Vilnius, Lithuania, Vol. 3; 2008. p. 1081-1086.
Chowdhury S, Hadas Y, Gonzalez VA, Schot B. Public transport users' and policy makers' perceptions of integrated public transport systems. Transport Policy. 2018;61: 75-83. Available from: doi:10.1016/j.tranpol.2017.10.001
Francis R, Elliott D. Infrastructure funding: does it matter where the money comes from? 2019. 25 p. Available from: https://www.itf-oecd.org/sites/default/files/docs/infrastructure-funding-where-money-comes-from.pdf [Accessed 15th Sep. 2019].
Karou S, Hull A. Accessibility modelling: predicting the impact of planned transport infrastructure on accessibility patterns in Edinburgh, UK. Journal of Transport Geography. 2014;35: 1-11.
Susnienė D, Jurkauskas A. Stakeholder Approach in the Management of Public Transport Companies. Transport. 2008;23(3): 214-220. Available from: doi:10.3846/1648-4142.2008.23.214-220
Ceder AA, Butcher M, Wang L. Optimization of bus stop placement for routes on uneven topography. Transportation Research Part B: Methodological. 2015;74: 40-61. Available from: doi:10.1016/j.trb.2015.01.006
Li H, Bertini RL. Optimal bus stop spacing for minimizing transit operation cost. Traffic and Transportation Studies. 2008;51: 553-564. Available from: doi:10.1061/40995(322)51
Li H. Assessment of an optimal bus stop spacing model using high resolution archived stop-level dana. MSc thesis. Portland State University; 2011.
Daniels R, Mulley C. Explaining walking distance to public transport: The dominance of public transport supply. Journal of Transport and Land Use. 2013;6(2): 5-20. Available from: doi:10.5198/jtlu.v6i2.308
Verseckienė A, Meškauskas V, Batarlienė N. Urban Public Transport Accessibility for People with Movement Disorders: The Case Study of Vilnius. Procedia Engineering. 2016;134: 48-56. Available from: doi:10.1016/j.proeng.2016.01.038
Tyler N, Caiaffa M. Design of Fully Accessible Bus Stops. Infrastructure Elements for Buses and Drivers. In: Proceedings of AET European Transport Conference, 1 January 1999 Cambridge; 1999. p. 433-439. Available from: http://etcproceedings.org/paper/design-of-fully-accessible-bus-stops-infrastructure-elements-for-buses-and-dri [Accessed 28th Jan. 2017].
Boyle DK. Better On-Street Bus Stops. Transportation research, Report number: Project J-7 SA-35, 2015. Available from: http://www.trb.org/Main/Blurbs/172376.aspx [Accessed 22th Sept. 2017].
Newton A. Crime on public transport. Encyclopedia of criminology and criminal justice. 2014: 709-720. Available from: doi:10.1007/978-1-4614-5690-2_301
Agrawal AW, Goldman T, Hannaford N. Shared-use bus priority lanes on city streets: Case studies in design and management. Mineta Transportation Institute, No. CA-MTI-12-2606, 2012. Available from: https://scholarworks.sjsu.edu/cgi/viewcontent.cgi?referer=https://scholar.google.com/&httpsredir=1&article=1026&context=mti_publications
Siedler CE. Can bus rapid transit be a sustainable means of public transport in fast growing cities? Empirical evidence in the case of Oslo. Transportation Research Procedia. 2014;1(1): 109-120. Available from: doi:10.1016/j.trpro.2014.07.012
Canales C, Estrada Romeu MÁ, Thorson Bofarull L, Robusté Antón F. Public transport policies in Europe: implementing bus rapid transit systems in major European cities. In: Proceedings of European Transport Conference 2006. Association for European Transport; 2006; p. 1-15. Available from: https://upcommons.upc.edu/bitstream/handle/2117/15615/2443737.pdf [Accessed 15th Apr. 2018].
Viegas J, Lu B. The intermittent bus lane signals setting within an area. Transportation Research Part C: Emerging Technologies. 2004;12(6): 453-469. Available from: doi:10.1016/j.trc.2004.07.005
Ušpalytė-Vitkūnienė R. Modelling and development of town public transport network (on example of Vilnius city). PhD thesis. Vilnius Gediminas Technical University; 2006.
Cats O, Jenelius E. Dynamic vulnerability analysis of public transport networks: mitigation effects of real-time information. Networks and Spatial Economics. 2014;14(3-4): 435-463. Available from: doi:10.1007/s11067-014-9237-7
Petrović J, Ivković I, Vujačić I, Žeželj S. Possibilities of buses on alternative fuel in public urban transport in Belgrade. Technological and Economic Development of Economy. 2009;15(1): 78-89. Available from: doi:10.3846/1392-8619.2009.15.78-89
Arditi D, Gunaydin HM. Perceptions of process quality in building projects. Journal of Management in Engineering. 1999;15(2): 43-53. Available from: doi:10.1061/(ASCE)0742-597X(1999)15:2(43)
Yoon K, Hwang СL. TOPSIS (technique for order preference by similarity to ideal solution)–a multiple attribute decision making, w: Multiple attribute decision making–methods and applications, a state-of-the-art survey. Berlin: Springer Verlag; 1981; p. 128-140.
Copyright (c) 2020 Rasa Ušpalytė-Vitkūnienė, Edita Šarkienė, Daiva Žilionienė
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).