Abstract
Early methods for solving the Weber problem by locating the point of minimum aggregate distance employed physical analogues. There is no closed-form mathematical method for replicating these mechanical procedures because analytical procedures result in high order polynomials requiring numerical methods. Iterative techniques using gradient related methods can be used; but in the small number of cases where a trial solution coincides with a data point or where the final solution itself is a data point, gradient methods are unable to reach a solution. Other common iterative methods, which are not gradient related, avoid these difficulties, but are less efficient.
The method presented in algorithm form does not encounter difficulty when a trial solution encounters a data point. A paraboloid is fitted through five points on the surface formed by the total distances and derivatives are used to locate a trial minimum. The trial minimum becomes the center of the next paraboloid and the process is continued. The algorithm presented here is simpler to program and run than the gradient related methods, when they are combined with a separate test for the conditions of a minimum. In addition, the algorithm is more efficient than the non-gradient related methods such as the grid search technique.
Similar content being viewed by others
References
Austin, T. L. An Approximation to the Point of Minimum Aggregate Distance.Metron, Vol. 19 (1959), 10–21.
Court, Arnold. The Elusive Point of Minimum Aggregate Travel.Annals of the Association of American Geographers, Vol. 54 (1964), 400–403.
Friedrich, C. J. Alfred Weber's Theory of the Location of Industries. Chicago: University of Chicago Press. (1929).
Hart, J. F. Central Tendency in a Real Distributions.Economic Geography, Vol. 30 (1954), 48–59.
Hilgard, J. E. The Advance of Population in the United States.Scribner's Monthly Magazine, Vol. 4 (1872), 214–218.
Kuhn, H. W. and Kuenne, R. E., An Efficient Algorithm for the Numerical Solution of the Generalized Weber Problem in Spatial Economics.Journal of Regional Science, Vol. 4 (1962), 21–33.
Porter, P. W. What is the Point of Minimum Aggregate Travel?Annals of the Association of American Geographers, Vol. 53 (1963), 224–232.
Reilly, W. J.The Law of Retail Gravitation. New York, William J. Reilly Company (1931).
Scates, D. E. Locating the Median of the United States,Metron, Vol. 11, (1933), 49–65.
Schneider, J. B. Measuring the Locational Efficiency of the Urban Hospital. Regional Science Research Institute Discussion Paper Series No. 11 (1967).
Seymour, D.R. IBM 7090 Program for Locating Bivariate Means and Medians. Technical Report No. 16, ONR Task No. 389-135, Contract NONR 1228 (26), Office of Naval Research (1965).
Seymour, D. R. Note on Austin's An Approximation to the Point of Minimum Aggregate Distance.Metron, Vol. 28 (1970), 412–421.
Stewart, J. Q. An Inverse Distance Variation for Certain Social Influences.Science. Vol. 93 (1941), 89–90.
Stewart, J. Q. The Development of Social Physics.American Journal of Physics. Vol. 18 (1950), 239–253.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Seymour, D.R., Weindling, J.I. An iterative curve fitting approach for solving the Weber problem in spatial economics. Ann Reg Sci 9, 14–24 (1975). https://doi.org/10.1007/BF01287421
Issue Date:
DOI: https://doi.org/10.1007/BF01287421