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The “renaissance” of urban rail transport as a means of efficient and sustainable urban mobility systems is an increasingly popular theme in mid-sized cities. However, such cities often grapple with the uncertainty of new public transport (PT) modes’ effectiveness, which requires proper analytical underpinning. In this study, we assess the implications of introducing a new light rail (LRT) vs. heavy rail (HRT) transport solution in the case study city of Rzeszow, Poland, using transport simulation and accessibility models. The results reveal a more advantageous performance of an LRT-based tram system, whose benefits are enhanced by reduced road capacity in the city center and long-term shifts in mobility behavior. Ultimately, the PT capacity utilization with LRT improved by 12%, PT modal share rose from 28% to 35%, and inner-city car traffic loads declined by 20%. Our findings reaffirm that in concentric, mid-sized cities such as Rzeszow, urban rail transport should be based on a high coverage, high-frequency LRT (e.g., tram) mode, which can form an effective backbone of the city PT system. Our study contributes to research on how new urban rail systems can help reverse the decline of PT ridership and facilitate the sustainable urban (re)development of midsized cities.
Czasopismo
Rocznik
Tom
Strony
183--196
Opis fizyczny
Bibliogr. 32 poz.
Twórcy
autor
- Technical University of Munich; Arcisstrasse 21, 80333 Munich, Germany
autor
- Cracow University of Technology; Warszawska 24, 31-155 Krakow, Poland
autor
- Cracow University of Technology; Warszawska 24, 31-155 Krakow, Poland
autor
- Cracow University of Technology; Warszawska 24, 31-155 Krakow, Poland
Bibliografia
- 1. Lane B.W. Significant characteristics of the urban rail renaissance in the United States: A discriminant analysis. Transportation Research Part A: Policy and Practice. 2008. Vol. 42(2). P. 279-295.
- 2. Gadziński, J. & Radzimski, A. Impacts of light rail in a mid-sized city. Journal of Transport and Land Use. 2021. Vol. 14(1). P. 821-840.
- 3. Grimaldi, R. & Laurino, A. & Beria, P. The choice between bus and light rail transit: a stylised cost-benefit analysis model. MPRA Munich. 2010.
- 4. Knowles, R.D. & Ferbrache, F. Evaluation of wider economic impacts of light rail investment on cities. Journal of Transport Geography. 2016. Vol. 54. P. 430-439.
- 5. Kołoś, A. & Taczanowski, J. Możliwości i dylematy rozwoju miejskiego transportu szynowego w Polsce. Prace Komisji Geografii Komunikacji PTG. 2018. Vol. 21(3). P. 31-44. [In Polish: “Possibilities and dilemmas of urban rail transport development in Poland”. Transport Geography Papers of Polish Geographical Society PTG].
- 6. European Environment Agency (EEA). Available at: https://eea.europa.eu.
- 7. Kostrzewski, M. & Eliwa, A. & Dawood, A. Autonomy of urban light rail transport systems and its influence on users, expenditure, and operational costs. Transport Problems. 2022. Vol. 17(4). P. 165-176.
- 8. Fageda, X. Do light rail systems reduce traffic externalities? Empirical evidence from mid-size European cities. Transportation Research Part D: Transport and Environment. 2021. Vol. 92. No. 102731.
- 9. Litman, T. Evaluating Public Transit Criticism: systematic analysis of political attacks on high quality transit, and how transportation professionals can effectively respond. Victoria, BC, Canada: Victoria Transport Policy Institute. 2018.
- 10. Transportation Research Board Light Rail Committee (TRB AP075). 2022. Available at: https://www.trblightrail.org/.
- 11. Steer Davies Gleave (SDG). What light rail can do for cities. A review of the Evidence Final Report. Passenger Transport Executive Group. 2005.
- 12. Katz-Rosene, R. To build or not to build? Competing narratives of high-speed rail development in Canada. Mobilities. 2017. Vol. 12(5). P. 758-777.
- 13. Kołoś, A. & Taczanowski, J. The feasibility of introducing light rail systems in medium-sized towns in Central Europe. Journal of Transport Geography. 2016. Vol. 54. P. 400-413.
- 14. Light Rail Transit Association (LRTA). Available at: https://lrta.org/.
- 15. Drabicki, A. & Ściga, S. & Chwastek, K. Public transport effectiveness evaluation with capacityconstrained macroscopic assignment. In: IEEE Xplore Proceedings of the 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). 2023.
- 16. Zhao, J. & Li, C. & Zhang, R. & Palmer, M. Cost of an urban rail ride. Journal of Transport and Land Use. 2018. Vol. 11(1). P. 1173-1191.
- 17. Guerra, E. & Cervero, R. Cost of a ride: the effects of densities on fixed-guideway transit ridership and costs. Journal of the American Planning Association. 2011. Vol. 77(3). P. 267-290.
- 18. Drabicki, A. & Kucharski, R. & Szarata, A. Modelling the public transport capacity constraints’ impact on passenger path choices in transit assignment models. Archives of Transport. 2017. Vol. 43. P. 7-28.
- 19. Statistics Poland (GUS). Available at: https://stat.gov.pl/en/.
- 20. Szarata, M. Bus lane implementation strategy. Transport Problems. 2022. Vol. 17(3). P. 87-98.
- 21. PKP Polish Railway Lines (PKP PLK S.A.). Available at: https://en.plk-sa.pl/.
- 22. City of Rzeszow. Strategia Rozwoju Miasta Rzeszowa do roku 2025. [In Polish: Development Strategy of the City of Rzeszow until 2025]. Rzeszow. 2016.
- 23. Goliszek, S. & Połom, M. Dostępność komunikacyjna transportem zbiorowym w ośrodkach wojewódzkich Polski Wschodniej. TTS Technika Transport Szynowego. 2016. Vol. 26. [In Polish: “Public transport accessibility of voivodeship cities in Eastern Poland”. TTS Technology of Rail Systems].
- 24. Clayton, W. & Jain, J. & Parkhurst, G. An ideal journey: making bus travel desirable. Mobilities. 2017. Vol. 12(5). P. 706-725.
- 25. Macioszek, E. & Świerk, P. & Granà, A. & Sobota, A. Application of a logit model to identify sociodemographic factors influencing the choice of public transport for daily trips – a case study based on the example of the Górnośląska - Zagłębiowska Metropolis (Poland). Transport Problems. 2024. Vol. 19(3). P. 183-192.
- 26. PTV AG. PTV VISUM 2021 User Manual. Karlsruhe. 2023
- 27. Collect Consulting S.A. Cyfrowy model ruchu dla miasta Rzeszowa. [In Polish: Digital transport model for the city of Rzeszow]. Rzeszow. 2016.
- 28. JASPERS. Blue Book – Road Infrastructure. Brussels: European Commission. 2015
- 29. Saif, M.A. & Zefreh, M.M. & Torok, A. Public transport accessibility: A literature review. Periodica Polytechnica Transportation Engineering. 2019. Vol. 47(1). P. 36-43.
- 30. Quantum Geographic Information System (QGIS). Available at: https://qgis.org/.
- 31. Geoportal BDOT10k. Topografic Objects’ Database. Available at: https://www.geoportal.gov.pl/en/data/topographic-objects-database-bdot10k/.
- 32. Litman, T. Evaluating accessibility for transport planning. Victoria, BC, Canada: Victoria Transport Policy Institute. 2023.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e860d980-3911-41ed-bc4a-0a3408d94ffa
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