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An Urban Allocation Model Combining Time Series and Analytic Hierarchical Methods

Author

Listed:
  • Thomas Cook

    (George Fox College)

  • Paul Falchi

    (British Columbia Telephone Company, Burnaby)

  • Reynaldo Mariano

    (Bank of the Philippine Islands, Metro Manila)

Abstract

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
    DOI: 10.1287/mnsc.30.2.198
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Kazemi, Fatemeh & Hosseinpour, Nazanin, 2022. "GIS-based land-use suitability analysis for urban agriculture development based on pollution distributions," Land Use Policy, Elsevier, vol. 123(C).
    4. 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.

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