IDEAS home Printed from https://ideas.repec.org/a/ags/ndjtrf/207314.html
   My bibliography  Save this article

Comparison of Alternative Methods for Estimating Household Trip Rates of Cross-Classification Cells with Inadequate Data

Author

Listed:
  • Mwakalonge, Judith L.
  • Badoe, Daniel A.

Abstract

This paper investigates the forecast performance of a traditional cross-classification model and alternative models that seek to address the shortcomings of traditional cross-classification analysis, specifically when it has cells with inadequate data. The study uses five cross-sectional datasets collected in the San Francisco Bay Area in 1965, 1981, 1990, 1996, and 2000. Alternative models, estimated with travel data collected in the base year, were assessed for their ability to replicate the number of trips made by households in each cell of a cross-classification matrix and at the traffic zone level, respectively, in each of the five years. The results showed that the traditional crossclassification analysis (CCA) model, notwithstanding having a few unreliable cells provided more consistent predictions of travel than any of the alternative methods. They also show that it is better to synthesize trip rates for only those cells of the cross-classification matrix with inadequate data rather than to adjust the entire trip-rate matrix as is currently the practice.

Suggested Citation

  • Mwakalonge, Judith L. & Badoe, Daniel A., 2012. "Comparison of Alternative Methods for Estimating Household Trip Rates of Cross-Classification Cells with Inadequate Data," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 51(2).
    • Handle: RePEc:ags:ndjtrf:207314
    DOI: 10.22004/ag.econ.207314
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/207314/files/2896-5621-1-PB.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.207314?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
    ---><---

    References listed on IDEAS

    as
    1. Guevara, Cristian Angelo & Thomas, Alan, 2007. "Multiple classification analysis in trip production models," Transport Policy, Elsevier, vol. 14(6), pages 514-522, November.
    Full references (including those not matched with items on IDEAS)

    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. Guevara, C. Angelo, 2018. "Overidentification tests for the exogeneity of instruments in discrete choice models," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 241-253.
    2. Lucas, Karen & Bates, John & Moore, José & Carrasco, Juan Antonio, 2016. "Modelling the relationship between travel behaviours and social disadvantage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 157-173.
    3. de Grange, Louis & Troncoso, Rodrigo & González, Felipe, 2012. "An empirical evaluation of the impact of three urban transportation policies on transit use," Transport Policy, Elsevier, vol. 22(C), pages 11-19.
    4. Guevara, C. Angelo & Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs, 2020. "Correcting for endogeneity due to omitted crowding in public transport choice using the Multiple Indicator Solution (MIS) method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 472-484.
    5. André Romano Alho & João Abreu e Silva, 2017. "Modeling retail establishments’ freight trip generation: a comparison of methodologies to predict total weekly deliveries," Transportation, Springer, vol. 44(5), pages 1195-1212, September.
    6. Guevara, C. Angelo, 2015. "Critical assessment of five methods to correct for endogeneity in discrete-choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 240-254.
    7. C. Angelo Guevara, 2017. "Mode-valued differences of in-vehicle travel time Savings," Transportation, Springer, vol. 44(5), pages 977-997, September.
    8. Prasanta K. Sahu & Agnivesh Pani, 2020. "Freight generation and geographical effects: modelling freight needs of establishments in developing economies and analyzing their geographical disparities," Transportation, Springer, vol. 47(6), pages 2873-2902, December.

    More about this item

    Keywords

    Public Economics;

    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:ags:ndjtrf:207314. 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: AgEcon Search (email available below). General contact details of provider: http://www.trforum.org/journal/ .

    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.