IDEAS home Printed from https://ideas.repec.org/a/eee/transb/v23y1989i5p361-372.html
   My bibliography  Save this article

Spatially autocorrelated errors in origin-destination models: A new specification applied to aggregate mode choice

Author

Listed:
  • Bolduc, Denis
  • Dagenais, Marcel G.
  • Gaudry, Marc J. I.

Abstract

In this study, we use a first-order spatial autoregressive formulation to model the correlation among the errors of a linear demand equation that explains origin-destination flows. The process splits the error term for each observation into a weighted sum of all the other errors and a purely random noise. The weights are new parametric functional forms defined to measure the proximity between origins and destinations of flows. The parameters of these weights, along with the other parameters of the model, are estimated by the method of maximum likelihood. We apply the technique to an aggregate binary logit share model that explains peak trips to work in Winnipeg, Canada.

Suggested Citation

  • Bolduc, Denis & Dagenais, Marcel G. & Gaudry, Marc J. I., 1989. "Spatially autocorrelated errors in origin-destination models: A new specification applied to aggregate mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 23(5), pages 361-372, October.
    • Handle: RePEc:eee:transb:v:23:y:1989:i:5:p:361-372
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0191-2615(89)90012-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    Other versions of this item:

    Citations

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


    Cited by:

    1. L W Hepple, 1995. "Bayesian Techniques in Spatial and Network Econometrics: 2. Computational Methods and Algorithms," Environment and Planning A, , vol. 27(4), pages 615-644, April.
    2. Kerkman, Kasper & Martens, Karel & Meurs, Henk, 2017. "A multilevel spatial interaction model of transit flows incorporating spatial and network autocorrelation," Journal of Transport Geography, Elsevier, vol. 60(C), pages 155-166.
    3. Marc Gaudry & Emile Quinet, 2015. "Correlation within SNCF administrative regions among track segment maintenance cost equation residuals of a country-wide model," Working Papers halshs-01112249, HAL.
    4. Deng, Minfeng & Athanasopoulos, George, 2011. "Modelling Australian domestic and international inbound travel: a spatial–temporal approach," Tourism Management, Elsevier, vol. 32(5), pages 1075-1084.
    5. Jourquin, Bart & Beuthe, Michel, 2019. "Cost, transit time and speed elasticity calculations for the European continental freight transport," Transport Policy, Elsevier, vol. 83(C), pages 1-12.
    6. Yongwan Chun, 2008. "Modeling network autocorrelation within migration flows by eigenvector spatial filtering," Journal of Geographical Systems, Springer, vol. 10(4), pages 317-344, December.
    7. Marc Gaudry & Emile Quinet, 2015. "Correlation within SNCF administrative regions among track segment maintenance cost equation residuals of a country-wide model," PSE Working Papers halshs-01112249, HAL.
    8. Jeremy Hackney & Michael Bernard & Sumit Bindra & Kay Axhausen, 2007. "Predicting road system speeds using spatial structure variables and network characteristics," Journal of Geographical Systems, Springer, vol. 9(4), pages 397-417, December.
    9. Marc Gaudry & Bernard Lapeyre & Emile Quinet, 2015. "Infrastructure maintenance, regeneration and service quality economics: A rail example," PSE Working Papers halshs-00559637, HAL.
    10. Kerkman, Kasper & Martens, Karel & Meurs, Henk, 2018. "Predicting travel flows with spatially explicit aggregate models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 68-88.

    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:transb:v:23:y:1989:i:5:p:361-372. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/548/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.