Abstract
Public transport network organization should allow efficient and comfortable transfers in interchanges, but these infrastructures are often associated with high pedestrian flows and constraints on pedestrian movement, which discourages their use. The analysis methods for the performance of public transport interchanges are usually based on aggregate values, which may result in highly optimistic results. However, the development of microsimulation tools provides a generous amount of data, allowing the development of new ways of measuring these infrastructures’ performance. Based on the idea that using average values should lead to optimistic results, and using data from the Colégio Militar/Luz subway station (in Lisbon), new indicators related to the level of service using microsimulation tools are suggested, proving that there can be different conclusions about the interchange’s performance.
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References
Shah, J., Joshi, G., Parida, P.: Behavioral characteristics of pedestrian flow on stairway at railway station. Procedia Soc. Behav. Sci. 104, 688–697 (2013). https://doi.org/10.1016/j.sbspro.2013.11.163
Sun, L., Rong, J., Yao, L.: Measuring transfer efficiency of urban public transportation terminals by data envelopment analysis. J. Urban Plan. Dev. 136, 314–319 (2010)
Yang, L., Jia, H., Juan, Z., Zhang, J.: Service level classification of facilities in passenger terminals based on pedestrian flow characteristics analysis. In: ICCTP 2010: Integrated Transportation Systems: Green, Intelligent, Reliable - Proceedings of the 10th International Conference of Chinese Transportation Professionals, pp 2581–2589 (2010)
Zhang, R., Li, Z., Hong, J., et al.: Research on characteristics of pedestrian traffic and simulation in the underground transfer hub in Beijing. In: ICCIT 2009 – 4th International Conference on Computer Sciences and Convergence Information Technology, pp. 1352–1357 (2009)
Davidich, M., Geiss, F., Mayer, H.G., et al.: Waiting zones for realistic modelling of pedestrian dynamics: a case study using two major German railway stations as examples. Transp. Res. Part C Emerg. Technol. 37, 210–222 (2013). https://doi.org/10.1016/j.trc.2013.02.016
Galiza, R., Kim, I., Ferreira, L., Laufer, J.: Modelling Pedestrian Circulation in Rail Transit Stations Using Micro-Simulation, pp 1–24 (2009)
Fruin, J.J.: Pedestrian Planning and Design. Revised Edition, Elevator World (1987)
TRB: Transit Capacity and Quality of Service Manual, Third Edit. Transport Research Board, Washington, D.C. (2013)
De Gersigny, M.R., Hermant, L.F.L., Hermann, R., Ahuja, R.: Applying microscopic pedestrian simulation to the design assessment of various railway stations in South Africa. In: 29th Annual Southern African Transport Conference, pp. 334–344. Pretoria, South Africa (2010)
Helbing, D., Molnár, P.: Social force model for pedestrian dynamics. Phys. Rev. E 51, 4282–4286 (1995)
Johansson, A., Helbing, D., Shukla, P.K.: Specification of a microscopic pedestrian model by evolutionary adjustment to video tracking data. Adv. Complex Syst. 10, 271–288 (2008)
Kretz, T.: On oscillations in the social force model on oscillations in the social force model. Phys. A 438, 272–285 (2015). https://doi.org/10.1016/j.physa.2015.07.002
Moussaïd, M., Perozo, N., Garnier, S., et al.: The walking behaviour of pedestrian social groups and its impact on crowd dynamics. PLoS ONE 5, 1–7 (2010). https://doi.org/10.1371/journal.pone.0010047
Kretz, T., Große, A., Hengst, S., et al.: Quickest paths in simulations of pedestrians. Adv. Complex. Syst. 14(5), 733–759 (2011). https://doi.org/10.1142/S0219525911003281
de Abreu e Silva, J., Bazrafshan, H.: User satisfaction of intermodal transfer facilities in Lisbon, Portugal. Transp. Res. Rec. 2350, 102–110 (2013). https://doi.org/10.3141/2350-12
Helbing, D., Buzna, L., Johansson, A., Werner, T.: Self-organized pedestrian crowd dynamics: experiments, simulations, and design solutions. Transp. Sci. 39, 1–24 (2005). https://doi.org/10.1287/trsc.1040.0108
Cortés, C.E., Burgos, V., Fernández, R.: Modelling passengers, buses and stops in traffic microsimulation: review and extensions. J. Adv. Transp. 44, 72–88 (2010). https://doi.org/10.1002/atr.110
Galiza, R., Ferreira, L.: A methodology for determining equivalent factors in heterogeneous pedestrian flows. Comput. Environ. Urban Syst. 39, 162–171 (2013). https://doi.org/10.1016/j.compenvurbsys.2012.08.003
Fellendorf, M., Vortisch, P.: Microscopic traffic flow simulator VISSIM. In: Fundamentals of Traffic Simulation. Jaume Barceló, pp. 63–93 (2010)
PTV: PTV VISSIM 7 User Manual. PTV Planug Trasport Verker AG (2013)
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Ramos, A., de Abreu e Silva, J. (2019). New Indicators in the Performance Analysis of a Public Transport Interchange Using Microsimulation Tools - The Colégio Militar Case Study. In: Nathanail, E., Karakikes, I. (eds) Data Analytics: Paving the Way to Sustainable Urban Mobility. CSUM 2018. Advances in Intelligent Systems and Computing, vol 879. Springer, Cham. https://doi.org/10.1007/978-3-030-02305-8_15
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DOI: https://doi.org/10.1007/978-3-030-02305-8_15
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