IDEAS home Printed from https://ideas.repec.org/a/eaa/aeinde/v13y2013i2_16.html
   My bibliography  Save this article

Determinants Of Passenger Rail Demand In Perth, Australia: A Time Series Analysis

Author

Listed:
  • WIJEWEERA, ALBERT
  • CHARLES, MICHAEL B.

Abstract

Annual data from 1983-2008, together with modern time series econometrics methods, is used to examine the factors potentially contributing to growth in passenger rail demand in Perth, Australia. A cointegration approach is used to estimate long-run passenger rail elasticities and an error correction model to estimate short-run elasticities. The study finds that a 10-percent cut in the fare increases boardings by about 8 percent in the long run and 7.6 percent in the short run, while population exerts a significantly positive impact on demand. Rail kilometres operated and commuter perceptions are the other two most significant variables.

Suggested Citation

  • Wijeweera, Albert & Charles, Michael B., 2013. "Determinants Of Passenger Rail Demand In Perth, Australia: A Time Series Analysis," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(2), pages 217-230.
  • Handle: RePEc:eaa:aeinde:v:13:y:2013:i:2_16
    as

    Download full text from publisher

    File URL: http://www.usc.es/economet/reviews/aeid13216.pdf
    Download Restriction: No.
    ---><---

    References listed on IDEAS

    as
    1. Robert Engle & Clive Granger, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
    3. Voith, Richard, 1997. "Fares, Service Levels, and Demographics: What Determines Commuter Rail Ridership in the Long Run?," Journal of Urban Economics, Elsevier, vol. 41(2), pages 176-197, March.
    4. repec:cdl:uctcwp:qt2mt5c3c2 is not listed on IDEAS
    5. Goulias, Konstadinos G. & Pendyala, Ram M. & Kitamura, Ryuichi, 1990. "Practical Method for The Estimation of Trip Generation And Trip Chaining," University of California Transportation Center, Working Papers qt8zx9v3t2, University of California Transportation Center.
    6. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    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. Meng, Lingyun & Zhou, Xuesong, 2019. "An integrated train service plan optimization model with variable demand: A team-based scheduling approach with dual cost information in a layered network," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 1-28.
    2. Sen, Suman & Charles, Michael B. & Harrison, Jennifer L., 2022. "Usage-based road pricing and potential equity issues: A study of commuters in South East Queensland, Australia," Transport Policy, Elsevier, vol. 118(C), pages 33-43.
    3. Ignacio Escañuela Romana & Mercedes Torres-Jiménez & Mariano Carbonero-Ruz, 2023. "Elasticities of Passenger Transport Demand on US Intercity Routes: Impact on Public Policies for Sustainability," Sustainability, MDPI, vol. 15(18), pages 1-27, September.

    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. Angela Boateng & Byron Lew & Yi Liu, 2025. "Corporate Social Responsibility Expenditures and Bank Performance: Role of Size Among Listed Banks in Ghana," JRFM, MDPI, vol. 18(3), pages 1-25, February.
    2. Bhuiyan, Erfan M. & Chowdhury, Murshed, 2020. "Macroeconomic variables and stock market indices: Asymmetric dynamics in the US and Canada," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 62-74.
    3. Tsermenidis, Konstantinos, 2014. "Προσδιοριστικοί Παράγοντες Της Εθνικής Αποταμίευσης Κατά Την Περίοδο 1990-2010 Και Μέτρα Ενίσχυσης Της Οικονομικής Ανάπτυξης [The Determinants of National Savings in Greece during the period 1990-2," MPRA Paper 56773, University Library of Munich, Germany.
    4. Levent, Korap, 2007. "Modeling purchasing power parity using co-integration: evidence from Turkey," MPRA Paper 19584, University Library of Munich, Germany.
    5. Yap, Wei Yim & Lam, Jasmine S.L., 2006. "Competition dynamics between container ports in East Asia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(1), pages 35-51, January.
    6. Sriwena Saleerut & Chalermpon Jatuporn & Vasu Suvanvihok & Apinya Wanaset, 2020. "Price adjustment of oil palm and palm oil in Thailand to the world price of the palm oil market," Asian Journal of Agriculture and rural Development, Asian Economic and Social Society, vol. 10(2), pages 690-697, December.
    7. Nicholas Taylor, 1998. "Precious metals and inflation," Applied Financial Economics, Taylor & Francis Journals, vol. 8(2), pages 201-210.
    8. Tarek Tawfik Yousef Alkhateeb & Zafar Ahmad Sultan, 2019. "Oil Price and Economic Growth: The Case of Indian Economy," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 274-279.
    9. Md. Sharif Hossain & Md. Thasinul Abedin, 2016. "Multivariate Dynamic Co-integration and Causality Analysis between Inflation and its Determinants," Journal of Economics and Behavioral Studies, AMH International, vol. 8(5), pages 240-250.
    10. R. Santos Alimi, 2014. "ARDL Bounds Testing Approach to Cointegration: A Re-Examination of Augmented Fisher Hypothesis in an Open Economy," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 2(2), pages 103-114, June.
    11. Biqing Cai & Jiti Gao & Dag Tjøstheim, 2017. "A New Class of Bivariate Threshold Cointegration Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(2), pages 288-305, April.
    12. Jean-Baptiste Gossé & Cyriac Guillaumin, 2013. "L’apport de la représentation VAR de Christopher A. Sims à la science économique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 89(4), pages 309-319.
    13. repec:zbw:rwirep:0557 is not listed on IDEAS
    14. Alessandro Magrini & Francesca Giambona, 2022. "A Composite Indicator to Assess Sustainability of Agriculture in European Union Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(3), pages 1003-1036, October.
    15. Ivan Kitov & Oleg Kitov, 2013. "Does Banque de France control inflation and unemployment?," Papers 1311.1097, arXiv.org.
    16. Erida Curraj, 2019. "Vintage Design Furniture in Albania, a New Retro Design Paradigm in the Post-Communist Era," European Journal of Engineering and Formal Sciences Articles, Revistia Research and Publishing, vol. 2, ejef_19.
    17. Bentzen, Jan & Engsted, Tom, 2001. "A revival of the autoregressive distributed lag model in estimating energy demand relationships," Energy, Elsevier, vol. 26(1), pages 45-55.
    18. Frey, Gregory E. & Chamberlain, James L. & Prestemon, Jeffrey P., 2018. "The potential for a backward-bending supply curve of non-timber forest products: An empirical case study of wild American ginseng production," Forest Policy and Economics, Elsevier, vol. 97(C), pages 97-109.
    19. Jacobo Campo Robledo & Juan Pablo Herrera Saavedra, 2016. "Patentes y crecimiento económico: ¿innovación de residentes o no residentes?," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 76.
    20. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    21. Roberto Cellini & Tiziana Cuccia, 2013. "Museum and monument attendance and tourism flow: a time series analysis approach," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3473-3482, August.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange

    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:eaa:aeinde:v:13:y:2013:i:2_16. 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: M. Carmen Guisan (email available below). General contact details of provider: http://www.usc.es/economet/eaa.htm .

    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.