IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v42y2015i1p45-69.html
   My bibliography  Save this article

Quantifying the impacts of subsidy policies on home-to-school pupil travel by bus in England

Author

Listed:
  • Jessica Ristell
  • Mohammed Quddus
  • Marcus Enoch
  • Chao Wang
  • Peter Hardy

Abstract

In the current economic climate, the British Government is revising a whole range of policy sectors to highlight areas where savings and cuts can be made. The policy of subsidising home-to-school transport for pupils who live beyond a set distance from the school which they attend has been in place since 1944 and this policy costs local authorities in England over £1 billion a year. The aim of this paper is to examine the outcomes of policy choices facing Government relating to subsidising the transport of pupils travelling between home and school. Specifically, the paper employs a multilevel modelling technique to develop a series of relationships between bus usage by school and the level of spending by local education authorities on home-to-school bus travel provision while controlling for other factors such as school quality, land-use patterns and various proxies for household incomes. The results suggest that there is a differential effect of funding on the total school-level bus mileage for primary (aged >11), secondary (aged 11–16) and post 16 schools. It is found that if local authority school budgets for bus travel provision were removed, then school-level bus mileage in England would decrease by 16, 27 and 10 % for primary, secondary and post 16 schools respectively. It is hoped that the results of the study will help inform practitioners and policy makers to select the policy responses that are most appropriate. Copyright The Author(s) 2015

Suggested Citation

  • Jessica Ristell & Mohammed Quddus & Marcus Enoch & Chao Wang & Peter Hardy, 2015. "Quantifying the impacts of subsidy policies on home-to-school pupil travel by bus in England," Transportation, Springer, vol. 42(1), pages 45-69, January.
  • Handle: RePEc:kap:transp:v:42:y:2015:i:1:p:45-69
    DOI: 10.1007/s11116-014-9525-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11116-014-9525-6
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11116-014-9525-6?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. Kingham, Simon & Ussher, Shannon, 2005. "Ticket to a sustainable future: An evaluation of the long-term durability of the Walking School Bus programme in Christchurch, New Zealand," Transport Policy, Elsevier, vol. 12(4), pages 314-323, July.
    2. Park, Junhyuk & Kim, Byung-In, 2010. "The school bus routing problem: A review," European Journal of Operational Research, Elsevier, vol. 202(2), pages 311-319, April.
    3. Cohen, Joshua T., 2005. "Diesel vs. compressed natural gas for school buses: a cost-effectiveness evaluation of alternative fuels," Energy Policy, Elsevier, vol. 33(13), pages 1709-1722, September.
    4. Hine, Julian, 2009. "The provision of home to school transport in Northern Ireland," Research in Transportation Economics, Elsevier, vol. 25(1), pages 29-38.
    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. Gina Porter & Jeff Turner, 2019. "Meeting Young People’s Mobility and Transport Needs: Review and Prospect," Sustainability, MDPI, vol. 11(22), pages 1-23, November.

    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. Kelly, J. Andrew & Fu, Miao, 2014. "Sustainable school commuting – understanding choices and identifying opportunities," Journal of Transport Geography, Elsevier, vol. 34(C), pages 221-230.
    2. Liwei Zeng & Sunil Chopra & Karen Smilowitz, 2019. "The Covering Path Problem on a Grid," Transportation Science, INFORMS, vol. 53(6), pages 1656-1672, November.
    3. Timo Gschwind & Stefan Irnich & Simon Emde & Christian Tilk, 2018. "Branch-Cut-and-Price for the Scheduling Deliveries with Time Windows in a Direct Shipping Network," Working Papers 1805, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    4. Sotiris Vardoulakis & Rachel Kettle & Paul Cosford & Paul Lincoln & Stephen Holgate & Jonathan Grigg & Frank Kelly & David Pencheon, 2018. "Local action on outdoor air pollution to improve public health," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(5), pages 557-565, June.
    5. Herminia I. Calvete & Carmen Galé & José A. Iranzo & Paolo Toth, 2020. "A Partial Allocation Local Search Matheuristic for Solving the School Bus Routing Problem with Bus Stop Selection," Mathematics, MDPI, vol. 8(8), pages 1-20, July.
    6. R. S. Nikolaev & D. O. Egorov, 2022. "Modeling Optimization for School Network in Conditions of Rural Depopulation (the Case of the Yelabuga District in the Republic of Tatarstan)," Regional Research of Russia, Springer, vol. 12(3), pages 395-413, September.
    7. Hernan Caceres & Rajan Batta & Qing He, 2017. "School Bus Routing with Stochastic Demand and Duration Constraints," Transportation Science, INFORMS, vol. 51(4), pages 1349-1364, November.
    8. Vivian Mac Knight & Carlos Eduardo Frickmann Young, 2006. "Custo Da Poluição Gerada Pelos Ônibus Urbanos Na Rmsp," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 69, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    9. Ellegood, William A. & Campbell, James F. & North, Jeremy, 2015. "Continuous approximation models for mixed load school bus routing," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 182-198.
    10. Collins, Damian & Kearns, Robin A., 2010. "Walking school buses in the Auckland region: A longitudinal assessment," Transport Policy, Elsevier, vol. 17(1), pages 1-8, January.
    11. Timo Gschwind & Stefan Irnich & Christian Tilk & Simon Emde, 2020. "Branch-cut-and-price for scheduling deliveries with time windows in a direct shipping network," Journal of Scheduling, Springer, vol. 23(3), pages 363-377, June.
    12. Joaquín Pacheco & Rafael Caballero & Manuel Laguna & Julián Molina, 2013. "Bi-Objective Bus Routing: An Application to School Buses in Rural Areas," Transportation Science, INFORMS, vol. 47(3), pages 397-411, August.
    13. Wang, Zhongxiang & Haghani, Ali, 2020. "Column generation-based stochastic school bell time and bus scheduling optimization," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1087-1102.
    14. Fátima M. Souza Lima & Davi S. D. Pereira & Samuel V. Conceição & Ricardo S. Camargo, 2017. "A multi-objective capacitated rural school bus routing problem with heterogeneous fleet and mixed loads," 4OR, Springer, vol. 15(4), pages 359-386, December.
    15. Park, Junhyuk & Tae, Hyunchul & Kim, Byung-In, 2012. "A post-improvement procedure for the mixed load school bus routing problem," European Journal of Operational Research, Elsevier, vol. 217(1), pages 204-213.
    16. Soon-Ae Park & Hyunwoo Tak, 2012. "The environmental effects of the CNG bus program on metropolitan air quality in Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 261-287, August.
    17. Buckley, Aaron & Lowry, Michael B. & Brown, Helen & Barton, Benjamin, 2013. "Evaluating safe routes to school events that designate days for walking and bicycling," Transport Policy, Elsevier, vol. 30(C), pages 294-300.
    18. Liu, Yiming & Roberto, Baldacci & Zhou, Jianwen & Yu, Yang & Zhang, Yu & Sun, Wei, 2023. "Efficient feasibility checks and an adaptive large neighborhood search algorithm for the time-dependent green vehicle routing problem with time windows," European Journal of Operational Research, Elsevier, vol. 310(1), pages 133-155.
    19. Xiaofeng Ji & Haotian Guan & Mengyuan Lu & Fang Chen & Wenwen Qin, 2022. "International Research Progress in School Travel and Behavior: A Literature Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(14), pages 1-25, July.
    20. Ellegood, William A. & Solomon, Stanislaus & North, Jeremy & Campbell, James F., 2020. "School bus routing problem: Contemporary trends and research directions," Omega, Elsevier, vol. 95(C).

    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:kap:transp:v:42:y:2015:i:1:p:45-69. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.