Indicators Affecting the Operation of Public Transport in Regions and Their Interfaces

  • Justina Ranceva Vilnius Gediminas Technical University
  • Rasa Ušpalytė-Vitkūnienė Vilnius Gediminas Technical University
  • Vaidotas Vaišis Vilnius Gediminas Technical University
Keywords: regional public transport, indicators, simple regression analysis, multiple regression analysis, correlation coefficient

Abstract

The article reviews qualitative and quantitative indi-cators to measure transport demand. After the review of the indicators and taking into account the specificity of the analysed region and the availability of data, the se-lected indicators were divided into five indicators groups: demographic, public transport usage description, public transport service and infrastructure, automobilisation and economics. A database of relevant indicators has been de-veloped to execute the evaluation. The study yielded three separate results: data of city municipalities, circular mu-nicipalities and regional municipalities. The purpose of this article is to identify the most important indicators that influence the passenger flows in regional public transport and to identify the interfaces between the indicators. The main raised hypothesis was that different groups of munic-ipalities will have different key indicators influencing the use of public transport and that public transport planning cannot follow the same methods. Multiple Variable Analy-sis and Simple Regression Analysis were chosen to test the hypotheses and clarify the most important indicators. The analysis shows that unemployment has the greatest impact on the number of passengers on suburban routes, while bus mileage on suburban routes has the smallest impact. The number of buses also has an impact on suburban pas-senger flows.

References

Ribeiro P, Fonseca F, Santos P. Sustainability assessment of a bus system in a mid-sized municipality. Journal of Environmental Planning and Management. 2020;63(2): 236-256. doi: 10.1080/09640568.2019.1577224.

Yigitcanlar T, Rashid K, Dur F. Sustainable urban and transport development for transportation disadvantaged: A review. The Open Transportation Journal. 2010;4(1): 1-8. doi: 10.2174/1874447801004010001.

Šipuš D, Abramović B. The possibility of using public transport in rural area. Procedia Engineering. 2017;192: 788-793. doi: 10.1016/j.proeng.2017.06.136.

Ušpalytė-Vitkūnienė R, Šarkienė E, Žilionienė D. Multi-criteria analysis of indicators of the public transport infrastructure. Promet – Traffic&Transportation. 2020;32(1): 119-126. doi: 10.7307/ptt.v32i1.3175.

Hansson J, Pettersson-Löfstedt F, Svensson H, Wretstrand A. Replacing regional bus services with rail: Changes in rural public transport patronage in and around villages. Transport Policy. 2021;101(C): 89-99. doi: 10.1016/j.tranpol.2020.12.002.

Burinskienė M, Paliulis GM, Ušpalytė-Vitkūnienė R. Miestų viešasis transportas. Vilnius: Technika; 2009. doi: 10.3846/1057-S.

Jurkauskas A. Public transport [Viešasis transportas]. Kaunas: Technologija; 2004.

Cascetta E, Cartenì A. A quality-based approach to public transportation planning: Theory and a case study. International Journal of Sustainable Transportation. 2014;8(1): 84-106. doi: 10.1080/15568318.2012.758532.

Hansson J, Pettersson F, Svensson H, Wretstrand A. Preferences in regional public transport: A literature review. European Transport Research Review. 2019;11(1): 1-16. doi: 10.1186/s12544-019-0374-4.

Vabuolytė V, Ušpalytė-Vitkūnienė R. Indicators of service quality of public transport. Mokslas–Lietuvos ateitis [Science–Future of Lithuania]. 2018;10: 1-7. doi: 10.3846/mla.2018.3259.

Zhou X, Liang J, Ji X, Cottrill CD. The Influence of information services on public transport behavior of urban and rural residents. Sustainability. 2019;11(19): 5454. doi: 10.3390/su11195454.

Carter DN, Lomax TJ. Development and application of performance measures for rural public transportation operators. Transportation Research Record. 1992;1338: 28-36. http://onlinepubs.trb.org/Onlinepubs/trr/1992/1338/1338-004.pdf [Accessed 19th July 2022].

Meyer M. Measuring that which cannot be measured. At least according to conventional wisdom. Transportation Research Board Conference Proceedings. 2001;26: 105-125. http://onlinepubs.trb.org/onlinepubs/conf/reports/cp_26.pdf [Accessed 19th July. 2022].

Mukherjee W. Shared mobility: The future of public transport. Master Thesis. University of Canterbury; 2019.

Ambrosino G, Nelson JD, Romanazzo M. Demand responsive transport services: towards the flexible mobility agency. Italian National Agency for New Technologies, Energy and the Environment; 2003. https://www.enea.it/it/seguici/pubblicazioni/pdf-volumi/2004/v2004_demandflexible.pdf [Accessed 19th July 2022].

Lieszkovszky JP. Introduction to the theoretical analysis of social exclusion of public transport in rural areas. Deturope. 2018;10(3): 214-227. https://deturope.eu/pdfs/det/2018/03/14.pdf [Accessed 19th July 2022].

Borg J, Ihlström J. The Importance of public transport for mobility and everyday activities among rural residents. Social Sciences. 2019;8(2): 58. doi: 10.3390/socsci8020058.

Daniels R, Mulley C. Flexible transport services: Overcoming barriers to implementation in low-density urban areas. Urban Policy and Research. 2012;30(1): 59-76. doi: 10.1080/08111146.2012.660872.

Vrubliauskaitė R. Public Transport Information System [Viešojo transporto informacinė sistema]. PhD thesis. Vilnius Gediminas Technical University; 2006.

Ricciardi AM, Xia JC, Currie G. Exploring public transport equity between separate disadvantaged cohorts: A case study in Perth, Australia. Journal of Transport Geography. 2015;43: 111-122. doi: 10.1016/j.jtrangeo.2015.01.011.

Lithuania. Methodology for the statistical survey on road passenger transport [Keleivių vežimo kelių transportu statistinio tyrimo metodika]. 17 January 2019 order No DĮ-21, General Director of the Lithuanian Statistical Department [Lietuvos statistikos departamento generalinio direktoriaus 2019 m. sausio 17 d. įsakymas Nr. DĮ-21]. Vilnius; 2019.

Initial assessment of the potential impact of the COVID-19 pandemic on the Lithuanian bus passenger transport sector [COVID-19 pandemijos galimo poveikio Lietuvos keleivių vežimo autobusais sektoriui pirminis vertinimas]. Baltic Institute for Research and Development. Report, 2020. http://www.linava.lt/wp-content/uploads/2019/10/BIRD_LINAVA_keleiviai_20200618_FINAL.pdf [Accessed 19th July 2022].

International Transport Forum. ITF transport outlook 2017. Paris: OECD Publishing. 2017. doi: 10.1787/9789282108000-en.

Dumitru VE. Development of public transport and its effects on the economy. Dezbateri Social Economice. 2017;6(1): 18-24. http://www.economic-debates.ro/valentina-elena2017.pdf [Accessed 19th July 2022].

Visaginas sustainable mobility plan, 2016 [Visagino darnaus judumo planas, 2016]. https://www.visaginas.lt/visagino-miesto-darnaus-judumo-planas/233 [Accessed 19th July 2022].

Eboli L, Mazzulla G. Performance indicators for an objective measure of public transport service quality. European Transport. 2012;51: 3. http://hdl.handle.net/10077/6119 [Accessed 19th July 2022].

Ľupták V et al. Approach methodology for comprehensive assessing the public passenger transport timetable performances at a regional scale. Sustainability. 2019;11(13): 3532. doi: 10.3390/su11133532.

Van de Velde D, Eerdmans D, Westerink H. Public transport tendering in the Netherlands. Amsterdam: Passenger Transport Executive Group, 2010. https://pure.tudelft.nl/ws/portalfiles/portal/9629584/PTEG_Public_transport_tendering_in_the_Netherlands_2010_07_23_small.pdf [Accessed 19th July. 2022].

Wang H, Odoni A. Approximating the performance of a “last mile” transportation system. Transportation Science. 2016;50(2): 659-675. doi: 10.1287/trsc.2014.0553.

Bos P. Self-driving bus to improve accesibility of rural areas in the Netherlands. Peoplemover as a first-and last mile solution. Master Thesis. Radboud University Nijmegen; 2017. https://theses.ubn.ru.nl/bitstream/handle/123456789/5436/Bos,_Pieter_1.pdf?sequence=1 [Accessed 19th July. 2022].

Ušpalytė‐Vitkūnienė R, Burinskienė M. Analysis of the dynamics of walking distances to public transport routes and its influence on housing prices. Journal of Civil Engineering and Management. 2006;12(3): 261-267. doi: 10.1080/13923730.2006.9636401.

Šťastná M, Vaishar A. The relationship between public transport and the progressive development of rural areas. Land Use Policy. 2017;67: 107-114. doi: 10.1016/j.landusepol.2017.05.022.

International Transport Forum. International experiences on public transport provision in rural areas. Paris: OECD Publishing. 2015. https://www.itf-oecd.org/sites/default/files/docs/15cspa_ruralareas.pdf [Accessed 19th July 2022].

Integrating sustainable development objectives into spatial planning processes. Steps towards sustainable urban development in Lithuania. Recommendations [Darnaus vystymosi tikslų integravimas į teritorijų planavimo procesus. Žingsniai darnaus lietuvos miestų vystymosi link. Rrekomendacijos]. 2018. http://kurklt.lt/wp-content/uploads/2018/09/REKOMENDACIJOS_darnus-miestu-vystymasis_galutinis.pdf [Accessed 19th July 2022].

Kičas K. Feasibility analysis of introducing free public transport in Kaunas [Nemokamo viešojo transporto įdiegimo Kauno mieste galimybių analizė]. PhD Thesis. Kaunas University of Technology; 2015.

Tzvetkova S. Increasing the social effectiveness of public transport. CBU International Conference Proceedings. 2017;5: 486-489. doi: 10.12955/cbup.v5.971.

Chen G, Benezech V. Non-urban passenger travel demand and CO₂ emissions: A global perspective. Report number 18-03905, 2018.

Christchurch City Council (CCC). Life in Christchurch 2017 transport results. Christchurch: Christchurch City Council; 2017.

Jakimavičius M, Burinskienė M, Gusarovienė M, Podviezko A. Assessing multiple criteria for rapid bus routes in the public transport system in Vilnius. Public Transport. 2016;8(3): 365-385. doi: 10.1007/s12469-016-0146-7.

Road transport code of the Republic of Lithuania [Lietuvos Respublikos kelių transporto kodeksas]. 1996.

Ministry of Transport of the Republic of Lithuania. Annual reports: Evaluation report of the Ministry of Transport and Communications of the Republic of Lithuania. Strategic environmental assessment of the national transport development programme [Lietuvos respublikos susisiekimo ministerijos vertinimo ataskaita. Nacionalinės susisiekimo plėtros programos strateginis pasekmių aplinkai vertinimas]. https://sumin.lrv.lt/lt/administracine-informacija/planavimo-dokumentai/veiklos-ataskaitos-1 [Accessed 19th July 2022].

Lithuania. Description of the procedure for the compensation (reimbursement) of costs (loss of revenue) incurred by passenger transport operators in connection with the application of transport concessions [Keleivinio transporto vežėjų išlaidų (negautų pajamų), susijusių su transporto lengvatų taikymu, kompensavimo (atlyginimo) tvarkos aprašas]. Vilnius; 2000.

Wolański M, et al. Public mass transit outside urban functional areas. Diagnosis, diversity analysis, social impact, recommendations [Publiczny transport zbiorowy poza miejskimi obszarami funkcjonalnymi. Diagnoza, analiza zróżnicowania, oddziaływanie społeczne, rekomendacje]. Publishing House of the Warsaw School of Economics. Warsaw; 2016.

Lithuania. Framework law on transport activities of the Republic of Lithuania [Lietuvos Respublikos transporto veiklos pagrindų įstatymas]. Vilnius; 1991.

Johansson E, Winslott Hiselius L, Koglin T, Wretstrand A. Evaluation of public transport: Regional policies and planning practices in Sweden. Urban, Planning and Transport Research. 2017;5(1): 59-77. doi: 10.1080/21650020.2017.1395291.

Cats O, Susilo YO, Reimal T. The prospects of fare-free public transport: Evidence from Tallinn. Transportation. 2017;44(5): 1083-1104. doi: 10.1007/s11116-016-9695-5.

Polhemus NW. How to: deal with multicollinearity when fitting a regression model using Statgraphics Centurion. StatPoint; 2005. https://vdocuments.net/how-to-deal-with-multicollinearity-when-fitting-a-how-to-deal-with-multicollinearity.html?page=1 [Accessed 19th July 2022].

Heumann C, Schomaker M. Introduction to statistics and data analysis. Springer International Publishing Switzerland; 2016. doi: 10.1007/978-3-319-46162-5.

Čekanavičius V, Murauskas G. Applied regression analysis in social research [Taikomoji regresinė analizė socialiniuose tyrimuose]. Vilniaus universiteto leidykla; 2014.

Mendenhall WM, Sincich TL, Boudreau NS. Statistics for engineering and the sciences student solutions manual. Chapman and Hall/CRC; 2016.

Published
2022-12-02
How to Cite
1.
Ranceva J, Ušpalytė-Vitkūnienė R, Vaišis V. Indicators Affecting the Operation of Public Transport in Regions and Their Interfaces. Promet [Internet]. 2022Dec.2 [cited 2024Apr.26];34(6):849-61. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/4144
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