Bus lane implementation strategy

• Autorzy: Szarata Mateusz

Identyfikatory

DOI

10.20858/tp.2022.17.3.08

• Języki publikacji: EN

Abstrakty

EN

This paper proposes a methodology for bus lane allocation including different strategies, dynamic bus lanes, and exclusive bus lanes. Choosing the right solution depends on many factors, such as traffic flow, passenger flow, and time losses. Analytical or simulation models can be used to evaluate the effectiveness of a separate bus lane. Analytical methods are simple to use and provide results in a short time. Simulation models, unlike analytical ones, require much more time and data to prepare but they are also much more detailed and accurate data. Therefore, analytical models may be particularly needed in the first stage of planning work during which potential sections for separated bus lanes are indicated. In this article, the author proposed an analytical model based on the 6th edition of the Highway Capacity Manual, which can be used to assess the implementation of separated bus lanes in different strategies. The final model developed was calibrated using traffic measurement results collected in a Polish city. As a result of the work, the author proposed the calculation procedure of the assumptions and diagrams, enabling the assessment of the selection of the appropriate solution.

Słowa kluczowe

EN

dynamic bus lanes; public transport priority; numerical study; HCM2020

PL

pas autobusowy dynamiczny; priorytet dla transportu publicznego; studium numeryczne; HCM2020

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Transport Problems
• Rocznik: 2022
• Tom: T. 17, z. 3
• Strony: 87--98
• Opis fizyczny: Bibliogr. 20 poz.

Twórcy

autor

Szarata Mateusz

• Rzeszow University of Technology, Department of Road and Bridges; Poznanska 2E, Rzeszow, Poland

• https://orcid.org/0000-0003-0227-2811

Bibliografia

• 1. Givoni, M. Re-assessing the results of the London congestion charging scheme. Urban Studies. 2012. Vol. 49(5). P. 1089-1105.
• 2. Santos, G. & Fraser, G. Road pricing: lessons from London. Economic Policy. 2006. Vol. 21(46). P. 263-310.
• 3. Faulk, D. & Hicks, S. & Michael, J. The impact of bus transit on employee turnover: Evidence from quasi-experimental samples. Urban Studies. 2016. Vol. 53(9). P. 1836-1852.
• 4. Boushey, H. & Glynn, S.J. There are significant business costs to replacing employees. Washington, DC: Center for American Progress. 2012.
• 5. Diao, Mi & Zhu, Yi & Zhu, Jiren. Intra-city access to inter-city transport nodes: The implications of high-speed-rail station locations for the urban development of Chinese cities. Urban Studies. 2017. Vol. 54(10). P. 2249-2267.
• 6. Sanchez, T. W. The impact of public transport on US metropolitan wage inequality. Urban Studies. 2002. Vol. 39(3). P. 423-436.
• 7. Cesme, B. & et al. Strategies and barriers in effective bus lane implementation and management: best practices for use in the greater Washington, DC region. Transportation Research Record. 2018. Vol. 2672(8). P. 29-40.
• 8. Safran, J.S. & Beaton, E.B. & Thompson, R. Factors Contributing to Bus Lane Obstruction and Usage in New York City: Does Design Matter? Transportation Research Record. 2014. Vol. 2418(1). P. 58-65.
• 9. Szarata, M. & Olszewski, P. & Bichajło, L. Simulation Study of Dynamic Bus Lane Concept. Sustainability. 2021. Vol. 13(3). No 1302.
• 10. Fadyushin, A. & Zakharov, D. Influence of the Parameters of the Bus Lane and the Bus Stop on the Delays of Private and Public Transport. Sustainability. 2020. Vol. 12(22). No 9593.
• 11. Deng, W & Song, Y. & Wang, J. & Kong, D. Evaluating Operational Effects of Bus Lane with Intermittent Priority under Connected Vehicle Environments. Discrete Dynamics in Nature and Society. 2017. No 1659176.
• 12. Kampouri, A. & Politis, I. Optimization of a bus lane with intermittent priority dynamically activated by the road traffic. In: 23rd International Transport and Air Pollution Conference. 15-17, Thessaloniki, Greece. May, 2019.
• 13. Szarata, M. & Olszewski, P. Traffic modelling with dynamic bus lane. In: 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE. 2019. P. 1-8.
• 14. Taran, I. & Litvin, V. Determination of rational parameters for urban bus route with combined operating mode. Transport Problems. 2018. Vol. 13. No. 4. P. 157-171.
• 15. Zhu, H.B. Numerical study of urban traffic flow with dedicated bus lane and intermittent bus lane. Physica A: Statistical Mechanics and its Applications. 2010. Vol. 389(16). P. 3134-3139.
• 16. Nagel, K. & Schreckenberg, M. A cellular automaton model for freeway traffic. Journal de Physique. 1992. Vol. 2. P. 2221-2229.
• 17. Gan, A. & et al. Development of operational performance and decision models for arterial bus lanes. Transportation research record. 2003. Vol. 1858(1). P. 18-30.
• 18. Jacques, K.St. & Levinson, H.S. Operational analysis of bus lanes on arterials. Transportation Research Board, 1997.
• 19. Joskowicz, I.F. Dynamic bus lane. The University of Texas at Arlington. 2012.
• 20. Manual, H.C. HCM2020. Transportation Research Board. National Research Council. Washington, DC, 2020.

Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).