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From the Single Line Model to the Spatial Structure of Transit Services: Corridors or Direct?

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  • Sergio R. Jara-Díaz
  • Antonio Gschwender

Abstract

The microeconomic analysis of public transportation involves the optimisation of all resources, both users'and operators'. This has been applied to optimise frequency and fleet size for isolated transit lines, as well as to study optimal spacing for multiple lines serving a single destination. In this paper the spatial structure of transit services is analysed within the context of multiple origins and destinations. Direct services (no transfers) are compared against transit corridors for simple though illustrative spatially diversified demands. The best transit structure is shown to depend upon the demand volume, the relative time values and on network related parameters. Optimal fleet size preserves the "square root rule". © The London School of Economics and the University of Bath 2003

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  • Sergio R. Jara-Díaz & Antonio Gschwender, 2003. "From the Single Line Model to the Spatial Structure of Transit Services: Corridors or Direct?," Journal of Transport Economics and Policy, University of Bath, vol. 37(2), pages 261-277, May.
    • Handle: RePEc:tpe:jtecpo:v:37:y:2003:i:2:p:261-277
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    Cited by:

    1. Thomai TASOPOULOU & Dimitrios TSIOTAS & Serafeim POLYZOS, 2023. "Investigating The Interaction Between The Topology Of Bus Transport Networks And Regional Development In Greece," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 25-46, June.
    2. Nicolas Coulombel & Guillaume Monchambert, 2019. "Congestion, diseconomies of scale and subsidies in urban public transportation," Working Papers hal-02373768, HAL.
    3. Coulombel, Nicolas & Monchambert, Guillaume, 2023. "Diseconomies of scale and subsidies in urban public transportation," Journal of Public Economics, Elsevier, vol. 223(C).
    4. Herbon, Avi & Hadas, Yuval, 2015. "Determining optimal frequency and vehicle capacity for public transit routes: A generalized newsvendor model," Transportation Research Part B: Methodological, Elsevier, vol. 71(C), pages 85-99.
    5. Tirachini, Alejandro & Hensher, David A., 2011. "Bus congestion, optimal infrastructure investment and the choice of a fare collection system in dedicated bus corridors," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 828-844, June.
    6. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    7. Basso, Leonardo J. & Jara-Díaz, Sergio R., 2012. "Integrating congestion pricing, transit subsidies and mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(6), pages 890-900.
    8. Clifton, Geoffrey T. & Rose, John M., 2013. "A simulation of the simple Mohring model to predict patronage and value of resources consumed for enhanced bus services," Research in Transportation Economics, Elsevier, vol. 39(1), pages 259-269.
    9. Badia, Hugo & Estrada, Miquel & Robusté, Francesc, 2016. "Bus network structure and mobility pattern: A monocentric analytical approach on a grid street layout," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 37-56.
    10. Fielbaum, Andrés & Jara-Diaz, Sergio & Gschwender, Antonio, 2016. "Optimal public transport networks for a general urban structure," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 298-313.
    11. Jara-Díaz, Sergio R. & Muñoz-Paulsen, Esteban, 2022. "Lessons from the strategic design of a bimodal public transport system on a linear city," Research in Transportation Economics, Elsevier, vol. 94(C).
    12. Proboste, Francisco & Muñoz, Juan Carlos & Gschwender, Antonio, 2020. "Comparing social costs of public transport networks structured around an Open and Closed BRT corridor in medium sized cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 187-212.
    13. Nelson, Peter & Baglino, Andrew & Harrington, Winston & Safirova, Elena & Lipman, Abram, 2007. "Transit in Washington, DC: Current benefits and optimal level of provision," Journal of Urban Economics, Elsevier, vol. 62(2), pages 231-251, September.
    14. Sergio Jara-Díaz & Antonio Gschwender, 2009. "The effect of financial constraints on the optimal design of public transport services," Transportation, Springer, vol. 36(1), pages 65-75, January.
    15. Fielbaum, Andrés & Jara-Diaz, Sergio & Gschwender, Antonio, 2021. "Lines spacing and scale economies in the strategic design of transit systems in a parametric city," Research in Transportation Economics, Elsevier, vol. 90(C).
    16. Muñoz, Juan Carlos & Gschwender, Antonio, 2008. "Transantiago: A tale of two cities," Research in Transportation Economics, Elsevier, vol. 22(1), pages 45-53, January.
    17. Börjesson, Maria & Fung, Chau Man & Proost, Stef & Yan, Zifei, 2018. "Do buses hinder cyclists or is it the other way around? Optimal bus fares, bus stops and cycling tolls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 326-346.
    18. Fielbaum, Andres, 2024. "On the relationship between free public transport, stop spacing, and optimal frequencies," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
    19. Militão, Aitan M. & Tirachini, Alejandro, 2021. "Optimal fleet size for a shared demand-responsive transport system with human-driven vs automated vehicles: A total cost minimization approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 52-80.
    20. Dröes, Martijn I. & Rietveld, Piet, 2015. "Rail-based public transport and urban spatial structure: The interplay between network design, congestion and urban form," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 421-439.

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