IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v39y2013i1p259-269.html
   My bibliography  Save this article

A simulation of the simple Mohring model to predict patronage and value of resources consumed for enhanced bus services

Author

Listed:
  • Clifton, Geoffrey T.
  • Rose, John M.

Abstract

Choosing between the competing approaches to providing enhanced bus services requires the ability to predict the effects on patronage and overall benefits to society in terms of Value of Resources Consumed (VRC) of any proposed change. One common approach uses the Mohring model of 1972 and its successors to optimise one or more aspects of the supply of transit services given various level of demand. This paper simulates the operation of a simple circular bus route using the equations of a basic Mohring type model and a Decision Support System (DSS) to endogenise demand under the assumption that there is a fixed demand for travel but commuters can choose between the bus and private vehicle. The selected approach recognises that demand for a particular mode of travel is predicated on the speed of the vehicle in service which is itself determined by the demand for that vehicle (in this model or boarding and alighting time) rather than being determined exogenously. This creates an iterative feedback mechanism whereby changes to the attributes of the bus and car alter mode choice and the speed in service of the bus which, in turn, alters mode choice. The simulation is used to predict changes to patronage and VRC under scenarios regarding changes to the transport network (in terms of fares and running costs, frequency and spacing of bus stops) using parameters from both a Multinomial Logit (MNL) and a Mixed Multinomial Logit (MMNL). The results demonstrate that there are large differences in the size and, in some cases, direction of predicted changes to patronage, VRC and revenue, depending on whether the parameters of the MNL or MMNL model are used.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:retrec:v:39:y:2013:i:1:p:259-269
    DOI: 10.1016/j.retrec.2012.06.023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885912000959
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.retrec.2012.06.023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Mohring, Herbert, 1972. "Optimization and Scale Economies in Urban Bus Transportation," American Economic Review, American Economic Association, vol. 62(4), pages 591-604, September.
    4. Currie, Graham & Rose, John, 2008. "Growing patronage - Challenges and what has been found to work," Research in Transportation Economics, Elsevier, vol. 22(1), pages 5-11, January.
    5. Hensher, David A. & Rose, John M., 2007. "Development of commuter and non-commuter mode choice models for the assessment of new public transport infrastructure projects: A case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 428-443, June.
    6. Sergio Jara-Díaz & Antonio Gschwender, 2003. "Towards a general microeconomic model for the operation of public transport," Transport Reviews, Taylor & Francis Journals, vol. 23(4), pages 453-469, July.
    7. Hess, Stephane & Rose, John M., 2009. "Allowing for intra-respondent variations in coefficients estimated on repeated choice data," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 708-719, July.
    8. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Clifton, Geoffrey T. & Mulley, Corinne, 2016. "A historical overview of enhanced bus services in Australian cities: What has been tried, what has worked?," Research in Transportation Economics, Elsevier, vol. 59(C), pages 11-25.
    2. Bar-Yosef, Asaf & Martens, Karel & Benenson, Itzhak, 2013. "A model of the vicious cycle of a bus line," Transportation Research Part B: Methodological, Elsevier, vol. 54(C), pages 37-50.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    3. 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.
    4. 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).
    5. 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.
    6. Fielbaum, Andrés & Tirachini, Alejandro & Alonso-Mora, Javier, 2023. "Economies and diseconomies of scale in on-demand ridepooling systems," Economics of Transportation, Elsevier, vol. 34(C).
    7. Ihab Kaddoura & Benjamin Kickhöfer & Andreas Neumann & Alejandro Tirachini, 2015. "Agent-based optimisation of public transport supply and pricing: impacts of activity scheduling decisions and simulation randomness," Transportation, Springer, vol. 42(6), pages 1039-1061, November.
    8. 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.
    9. Høyem, Harald, 2022. "Public transport frequency and risk-taking behavior," Economics of Transportation, Elsevier, vol. 30(C).
    10. Tirachini, Alejandro, 2014. "The economics and engineering of bus stops: Spacing, design and congestion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 37-57.
    11. 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.
    12. Coulombel, Nicolas & Monchambert, Guillaume, 2023. "Diseconomies of scale and subsidies in urban public transportation," Journal of Public Economics, Elsevier, vol. 223(C).
    13. 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.
    14. Fielbaum, Andres, 2024. "On the relationship between free public transport, stop spacing, and optimal frequencies," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
    15. Kamel, Islam & Shalaby, Amer & Abdulhai, Baher, 2020. "A modelling platform for optimizing time-dependent transit fares in large-scale multimodal networks," Transport Policy, Elsevier, vol. 92(C), pages 38-54.
    16. Tirachini, Alejandro & Antoniou, Constantinos, 2020. "The economics of automated public transport: Effects on operator cost, travel time, fare and subsidy," Economics of Transportation, Elsevier, vol. 21(C).
    17. Bar-Yosef, Asaf & Martens, Karel & Benenson, Itzhak, 2013. "A model of the vicious cycle of a bus line," Transportation Research Part B: Methodological, Elsevier, vol. 54(C), pages 37-50.
    18. Lehe, Lewis J. & Pandey, Ayush, 2024. "A bathtub model of transit congestion," Transportation Research Part B: Methodological, Elsevier, vol. 181(C).
    19. Tirachini, Alejandro & Hensher, David A. & Rose, John M., 2014. "Multimodal pricing and optimal design of urban public transport: The interplay between traffic congestion and bus crowding," Transportation Research Part B: Methodological, Elsevier, vol. 61(C), pages 33-54.
    20. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:retrec:v:39:y:2013:i:1:p:259-269. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.