IDEAS home Printed from
   My bibliography  Save this article

An Urban Allocation Model Combining Time Series and Analytic Hierarchical Methods


  • Thomas Cook

    (George Fox College)

  • Paul Falchi

    (British Columbia Telephone Company, Burnaby)

  • Reynaldo Mariano

    (Bank of the Philippine Islands, Metro Manila)


Presented is a new application in urban economic forecasting. This method actively utilizes external information for household population forecasts. The purpose is to develop a more satisfying procedure as part of the management decision taking system. In the Portland Standard Metropolitan Statistical Area (SMSA), both time series and cross-sectional data are exploited. A transfer function-noise model is developed relating national output to SMSA employment. Household population for the SMSA is forecast utilizing the same statistical technique via a job opportunities/migration hypothesis. Forecasts are allocated to planning divisions within the SMSA by univariate stochastic models. However, these forecasts are adjusted after consideration of several land use indicators. The forecast standard errors are utilized and a hierarchical weighting scheme of the land-use indicators is developed within an allocation framework. Qualitative and quantitative information is merged to provide a more complete analysis and efficient estimates of the allocation weights.

Suggested Citation

  • Thomas Cook & Paul Falchi & Reynaldo Mariano, 1984. "An Urban Allocation Model Combining Time Series and Analytic Hierarchical Methods," Management Science, INFORMS, vol. 30(2), pages 198-208, February.
  • Handle: RePEc:inm:ormnsc:v:30:y:1984:i:2:p:198-208

    Download full text from publisher

    File URL:
    Download Restriction: no


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

    Cited by:

    1. Webby, Richard & O'Connor, Marcus, 1996. "Judgemental and statistical time series forecasting: a review of the literature," International Journal of Forecasting, Elsevier, vol. 12(1), pages 91-118, March.
    2. Zanakis, Stelios H. & Mandakovic, Tomislav & Gupta, Sushil K. & Sahay, Sundeep & Hong, Sungwan, 1995. "A review of program evaluation and fund allocation methods within the service and government sectors," Socio-Economic Planning Sciences, Elsevier, vol. 29(1), pages 59-79, March.
    3. Grace Lee & Edwin Chan, 2008. "The Analytic Hierarchy Process (AHP) Approach for Assessment of Urban Renewal Proposals," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 89(1), pages 155-168, October.


    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:inm:ormnsc:v:30:y:1984:i:2:p:198-208. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.