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Understanding the effect of express services on passenger queuing and waiting times in a bus station using simulation

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  • Olivos, Carlos
  • Larrain, Homero
  • Muñoz, Juan Carlos

Abstract

The “danger zone” phenomenon refers to a counterintuitive effect in public transport service planning, observed here in a simple corridor with an express service and an “all-stop” service, where increasing the express frequency (while holding all other conditions constant) can unexpectedly worsen system performance, leading to longer queues and increased total travel times (considering waiting and in-vehicle times). This study advances the understanding of this effect through three key contributions. First, it refines the analytical model by introducing explicit service-use categories (flexible express users, flexible all-stop users, and captive users) which improves clarity and strengthens the simulation framework. Second, it proposes and validates three key performance indicators (frequency amplitude, maximum waiting time, and severity) to quantify the impact of the danger zone and provide actionable tools for transit planners. Third, it develops a microsimulation model (DZ-SIM) that incorporates realistic station-level dynamics, passenger heterogeneity, and stochastic arrivals, offering insights into the conditions that exacerbate the danger zone and supporting future research.

Suggested Citation

  • Olivos, Carlos & Larrain, Homero & Muñoz, Juan Carlos, 2025. "Understanding the effect of express services on passenger queuing and waiting times in a bus station using simulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 197(C).
  • Handle: RePEc:eee:transa:v:197:y:2025:i:c:s0965856425001454
    DOI: 10.1016/j.tra.2025.104517
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    References listed on IDEAS

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    1. Spiess, Heinz & Florian, Michael, 1989. "Optimal strategies: A new assignment model for transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 23(2), pages 83-102, April.
    2. Belgacem Bouzaïene-Ayari & Michel Gendreau & Sang Nguyen, 2001. "Modeling Bus Stops in Transit Networks: A Survey and New Formulations," Transportation Science, INFORMS, vol. 35(3), pages 304-321, August.
    3. T. L. Magnanti & R. T. Wong, 1984. "Network Design and Transportation Planning: Models and Algorithms," Transportation Science, INFORMS, vol. 18(1), pages 1-55, February.
    4. Joaquín de Cea & Enrique Fernández, 1993. "Transit Assignment for Congested Public Transport Systems: An Equilibrium Model," Transportation Science, INFORMS, vol. 27(2), pages 133-147, May.
    5. Roberto Cominetti & José Correa, 2001. "Common-Lines and Passenger Assignment in Congested Transit Networks," Transportation Science, INFORMS, vol. 35(3), pages 250-267, August.
    6. Larrain, Homero & Muñoz, Juan Carlos & Giesen, Ricardo, 2015. "Generation and design heuristics for zonal express services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 201-212.
    7. Soto, Guillermo & Larrain, Homero & Muñoz, Juan Carlos, 2017. "A new solution framework for the limited-stop bus service design problem," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 67-85.
    8. Leiva, Carola & Muñoz, Juan Carlos & Giesen, Ricardo & Larrain, Homero, 2010. "Design of limited-stop services for an urban bus corridor with capacity constraints," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1186-1201, December.
    9. Rodrigo Fernandez & Rosemarie Planzer, 2002. "On the capacity of bus transit systems," Transport Reviews, Taylor & Francis Journals, vol. 22(3), pages 267-293, January.
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