IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v35y2001i2p157-176.html
   My bibliography  Save this article

Bus service optimisation with fuel saving objective and various financial constraints

Author

Listed:
  • Site, Paolo Delle
  • Filippi, Francesco

Abstract

A model for optimal bus service in urban areas is presented. Following the recent increasing environmental concerns the model takes, as objective function, the total (bus and car modes) reduction of fuel consumption. The optimal service level, price and bus size are determined subject to the operator financial constraint and the capacity constraint. Two formulations of the financial constraint are considered: subsidy as fraction of costs and subsidy as fixed amount. Bus-km and average revenue per passenger carried are used as proxies for service level and price, respectively. Bus demand varies with the generalised cost of bus travel according to a constant elasticity. Transfers of passengers from car to bus are a given fraction of the demand newly attracted from bus. Model solution requires only one algebraic equation to be solved for one of the service variables, the remaining being provided in closed form. A selection of the results for a case study shows the variations at optimum of bus service variables with the operating parameters. The conditions under which bus policies based on service level and price are effective to save fuel and the different policy implications deriving from the two financial constraint formulations are highlighted.

Suggested Citation

  • Site, Paolo Delle & Filippi, Francesco, 2001. "Bus service optimisation with fuel saving objective and various financial constraints," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(2), pages 157-176, February.
    • Handle: RePEc:eee:transa:v:35:y:2001:i:2:p:157-176
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965-8564(99)00053-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Oldfield, R. H. & Bly, P. H., 1988. "An analytic investigation of optimal bus size," Transportation Research Part B: Methodological, Elsevier, vol. 22(5), pages 319-337, October.
    2. Site, Paolo Delle & Filippi, Francesco, 1995. "Bus service optimization and car pricing policies to save fuel in urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(5), pages 345-358, September.
    3. P. H. Bly & R. H. Oldfield, 1986. "An Analytic Assessment of Subsidies to Bus Services," Transportation Science, INFORMS, vol. 20(3), pages 200-212, August.
    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. Pternea, Moschoula & Kepaptsoglou, Konstantinos & Karlaftis, Matthew G., 2015. "Sustainable urban transit network design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 276-291.

    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. Sayarshad, Hamid R. & Gao, H. Oliver, 2020. "Optimizing dynamic switching between fixed and flexible transit services with an idle-vehicle relocation strategy and reductions in emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 198-214.
    2. Ying Zhou & Hong Kim & Paul Schonfeld & Eungcheol Kim, 2008. "Subsidies and welfare maximization tradeoffs in bus transit systems," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(3), pages 643-660, September.
    3. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    4. Islam, Md. Kamrul & Vandenbona, Upali & Dixit, Vinayak V. & Sharma, Ashish, 2015. "A Simplified Method for Performance Evaluation of Public Transit Under Reneging Behavior of Passengers," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 54(3).
    5. Li, Hao & Gao, Kun & Tu, Huizhao, 2017. "Variations in mode-specific valuations of travel time reliability and in-vehicle crowding: Implications for demand estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 250-263.
    6. Hörcher, Daniel & Graham, Daniel J., 2018. "Demand imbalances and multi-period public transport supply," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 106-126.
    7. Høyem, Harald & Odeck, James, 2020. "Optimal public transit frequency under stochastic demand and fixed vehicle size: Application in the Norwegian car ferry sector," Research in Transportation Economics, Elsevier, vol. 82(C).
    8. Pternea, Moschoula & Kepaptsoglou, Konstantinos & Karlaftis, Matthew G., 2015. "Sustainable urban transit network design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 276-291.
    9. Gwilliam, Ken, 2008. "A review of issues in transit economics," Research in Transportation Economics, Elsevier, vol. 23(1), pages 4-22, January.
    10. Jara-Díaz, Sergio & Fielbaum, Andrés & Gschwender, Antonio, 2020. "Strategies for transit fleet design considering peak and off-peak periods using the single-line model," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 1-18.
    11. Basnak, Paul & Giesen, Ricardo & Muñoz, Juan Carlos, 2020. "Technology choices in public transport planning: A classification framework," Research in Transportation Economics, Elsevier, vol. 83(C).
    12. Jara-Díaz, Sergio & Tirachini, Alejandro & Cortés, Cristián E., 2008. "Modeling public transport corridors with aggregate and disaggregate demand," Journal of Transport Geography, Elsevier, vol. 16(6), pages 430-435.
    13. Cortés, Cristián E. & Jara-Díaz, Sergio & Tirachini, Alejandro, 2011. "Integrating short turning and deadheading in the optimization of transit services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(5), pages 419-434, June.
    14. Huasheng Liu & Yuqi Zhao & Jin Li & Yu Li & Xiangtao Gao, 2021. "Optimization Model of Transit Route Fleet Size Considering Multi Vehicle Type," Sustainability, MDPI, vol. 14(1), pages 1-15, December.
    15. 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.
    16. Kraus, Marvin & Yoshida, Yuichiro, 2002. "The Commuter's Time-of-Use Decision and Optimal Pricing and Service in Urban Mass Transit," Journal of Urban Economics, Elsevier, vol. 51(1), pages 170-195, January.
    17. Feifei Qin & Xiaoning Zhang, 2015. "Designing an Optimal Subsidy Scheme to Reduce Emissions for a Competitive Urban Transport Market," Sustainability, MDPI, vol. 7(9), pages 1-16, August.
    18. Zhang, Junlin & Yang, Hai & Lindsey, Robin & Li, Xinwei, 2020. "Modeling and managing congested transit service with heterogeneous users under monopoly," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 249-266.
    19. Hatzenbühler, Jonas & Cats, Oded & Jenelius, Erik, 2020. "Transitioning towards the deployment of line-based autonomous buses: Consequences for service frequency and vehicle capacity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 491-507.
    20. Delle Site, Paolo & Filippi, Francesco, 1998. "Service optimization for bus corridors with short-turn strategies and variable vehicle size," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(1), pages 19-38, January.

    More about this item

    Statistics

    Access and download statistics

    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:transa:v:35:y:2001:i:2:p:157-176. 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/547/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.