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Spatially Autocorrected Errors In Origin-Destination Models A New Specification Applied To Aggregate Mode Choice

Author

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  • BOLDUC, D.
  • DAGENAIS, M.
  • GAUDRY, M.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.
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Suggested Citation

  • Bolduc, D. & Dagenais, M. & Gaudry, M.J.I., 1988. "Spatially Autocorrected Errors In Origin-Destination Models A New Specification Applied To Aggregate Mode Choice," Cahiers de recherche 8811, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    • Handle: RePEc:mtl:montec:8811
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    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

    Keywords

    aggregate functions ; economic models;

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