IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v99y2017icp80-93.html
   My bibliography  Save this article

Electronic ticketing systems as a mechanism for travel behaviour change? Evidence from Sydney’s Opal card

Author

Listed:
  • Ellison, Richard B.
  • Ellison, Adrian B.
  • Greaves, Stephen P.
  • Sampaio, Breno

Abstract

Smartcard and other forms of electronic ticketing have become integral to modern public transport systems. While aggregate ridership figures have generally been positive, little is known about the drivers behind these changes because of a lack of travel information on individuals before and after implementation of such systems. The current paper presents analysis from a naturalistic travel behaviour study of inner-city Sydney residents that coincided with the phased introduction of the Opal smartcard system. Using a differences-in-differences methodology, results indicate significant reductions in car use of around 10min/day with commensurate increases in train use and incidental walking. This trend holds across income groups and is more pronounced for older residents. Results add further weight to the merits of simplifying ticket purchasing as part of a package of policy measures designed to increase public transport usage.

Suggested Citation

  • Ellison, Richard B. & Ellison, Adrian B. & Greaves, Stephen P. & Sampaio, Breno, 2017. "Electronic ticketing systems as a mechanism for travel behaviour change? Evidence from Sydney’s Opal card," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 80-93.
    • Handle: RePEc:eee:transa:v:99:y:2017:i:c:p:80-93
    DOI: 10.1016/j.tra.2017.03.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416304748
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2017.03.004?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. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    2. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    3. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    4. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    5. Pucher, J. & Dijkstra, L., 2003. "Promoting Safe Walking and Cycling to Improve Public Health: Lessons from The Netherlands and Germany," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1509-1516.
    6. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
    7. Oliveira, Rodrigo & Moura, Klebson & Viana, Jorge & Tigre, Robson & Sampaio, Breno, 2015. "Commute duration and health: Empirical evidence from Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 62-75.
    8. Deng, Yongheng & McMillen, Daniel P. & Sing, Tien Foo, 2012. "Private residential price indices in Singapore: A matching approach," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 485-494.
    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. Uğur Baç, 2020. "An Integrated SWARA-WASPAS Group Decision Making Framework to Evaluate Smart Card Systems for Public Transportation," Mathematics, MDPI, vol. 8(10), pages 1-24, October.
    2. Kent, Jennifer L. & Mulley, Corinne & Stevens, Nick, 2020. "Challenging policies that prohibit public transport use: Travelling with pets as a case study," Transport Policy, Elsevier, vol. 99(C), pages 86-94.
    3. Yuwei Liu & Hong Sheng & Norbert Mundorf & Colleen Redding & Yinjiao Ye, 2017. "Integrating Norm Activation Model and Theory of Planned Behavior to Understand Sustainable Transport Behavior: Evidence from China," IJERPH, MDPI, vol. 14(12), pages 1-16, December.
    4. Stanley, John & Ellison, Richard & Loader, Chris & Hensher, David, 2018. "Reducing Australian motor vehicle greenhouse gas emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 76-88.
    5. Deng, Yiling & Zhao, Pengjun, 2022. "The impact of new metro on travel behavior: Panel analysis using mobile phone data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 46-57.
    6. Hu, Yucong & Cao, Jiangyu & Liu, Jianrong, 2021. "Influence of bus stop land use characteristics on passenger waiting time satisfaction ‐ A case study in Guangzhou," Journal of Transport Geography, Elsevier, vol. 96(C).

    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. Oliveira, Rodrigo & Moura, Klebson & Viana, Jorge & Tigre, Robson & Sampaio, Breno, 2015. "Commute duration and health: Empirical evidence from Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 62-75.
    2. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    3. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    4. repec:zbw:rwirep:0426 is not listed on IDEAS
    5. Gustavo Canavire-Bacarreza & Luis Castro Peñarrieta & Darwin Ugarte Ontiveros, 2021. "Outliers in Semi-Parametric Estimation of Treatment Effects," Econometrics, MDPI, vol. 9(2), pages 1-32, April.
    6. Hendrik Schmitz & Matthias Westphal, 2013. "Short- and Medium-term Effects of Informal Care Provision on Health," Ruhr Economic Papers 0426, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    7. Asres Elias & Makoto Nohmi & Kumi Yasunobu & Akira Ishida, 2013. "Effect of Agricultural Extension Program on Smallholders’ Farm Productivity: Evidence from Three Peasant Associations in the Highlands of Ethiopia," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 5(8), pages 163-163, July.
    8. Xudong Rao & Yuehua Zhang, 2020. "Livestock insurance, moral hazard, and farmers’ decisions: a field experiment among hog farms in China," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 134-156, January.
    9. Froehlich, Anderson G. & Melo, Andrea S.S.A. & Sampaio, Breno, 2018. "Comparing the Profitability of Organic and Conventional Production in Family Farming: Empirical Evidence From Brazil," Ecological Economics, Elsevier, vol. 150(C), pages 307-314.
    10. Jeffrey Smith, 2000. "A Critical Survey of Empirical Methods for Evaluating Active Labor Market Policies," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(III), pages 247-268, September.
    11. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.
    12. Fatema, Naureen, 2019. "Can land title reduce low-intensity interhousehold conflict incidences and associated damages in eastern DRC?," World Development, Elsevier, vol. 123(C), pages 1-1.
    13. Juan Díaz & Miguel Jaramillo, 2006. "An Evaluation of the Peruvian "Youth Labor Training Program"-PROJOVEN," OVE Working Papers 1006, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    14. Solomon Asfaw & Silvio Daidone & Benjamin Davis & Josh Dewbre & Alessandro Romeo & Paul Winters & Katia Covarrubias & Habiba Djebbari, 2012. "Analytical Framework for Evaluating the Productive Impact of Cash Transfer Programmes on Household Behaviour – Methodological Guidelines for the From Protection to Production Project," Working Papers 101, International Policy Centre for Inclusive Growth.
    15. Mano, Yukichi & Akoten, John & Yoshino, Yutaka & Sonobe, Tetsushi, 2014. "Teaching KAIZEN to small business owners: An experiment in a metalworking cluster in Nairobi," Journal of the Japanese and International Economies, Elsevier, vol. 33(C), pages 25-42.
    16. Jérôme Ronchetti & Anthony Terriau, 2019. "Impact of unemployment on self-perceived health," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 879-889, August.
    17. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    18. Candon, David, 2018. "The effect of cancer on the labor supply of employed men over the age of 65," Economics & Human Biology, Elsevier, vol. 31(C), pages 184-199.
    19. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    20. Antoine Marsaudon & Lise Rochaix, 2017. "Impact of acute health shocks on cigarette consumption
      [Impact d'un choc de santé sur la consommation de cigarette]      ," PSE Working Papers halshs-01626024, HAL.
    21. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).

    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:99:y:2017:i:c:p:80-93. 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.