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Point Demand Forecasting
journal contribution
posted on 2001-01-01, 00:00 authored by Wilpen Gorr, Michael Johnson, Stephen RoehrigStephen RoehrigThis paper provides geographic information system (GIS) methods and
empirical models to forecast point demand for home-delivered goods.
A point forecast consists of stops on a street network, including
demand at each stop. The purpose of the forecast is to support a
network optimization model, based on the traveling salesman problem,
to locate one or more new facilities in a region. We illustrate our
approach with a case study of home-delivered meals (meals on
wheels) in Allegheny County, Pennsylvania.