The demand partitioning method for reducing aggregation errors in p-median problems

被引：14

作者：

Bowerman, RL

Calamai, PH ^{[1
]}

Hall, GB

机构：

[1] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON, Canada

[2] Univ Waterloo, Sch Urban & Reg Planning, Waterloo, ON, Canada

[3] Descartes Syst Grp Inc, Waterloo, ON N2V 1C6, Canada

来源：

COMPUTERS & OPERATIONS RESEARCH | 1999年 / 26卷 / 10-11期

基金：

加拿大自然科学与工程研究理事会;

关键词：

location-allocation models; p-median problem; aggregation error;

D O I：

10.1016/S0305-0548(99)00020-9

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The demand partitioning method for reducing aggregation errors in the solution of aggregated p-median problems is introduced in this paper. The method consists of eliminating source A and B aggregation errors using the Current and Schilling (Geographical Analysis 1987;19:95-110) weighting method and then partitioning the basic spatial units to eliminate source C errors. These two steps are repeated until all cost estimate error is eliminated in the solution of the problem. Data from the Central Valley of Costa Rica are used to test this demand partitioning method. Specifically, population census data are used to represent demand for services while current health clinics locations are the potential service supply points. The demand partitioning method outperforms current published methods for reducing source C errors.

引用

页码：1097 / 1111

页数：15

共 17 条

[1] THE PROBLEM OF AGGREGATION AND DISTANCE FOR ANALYSES OF ACCESSIBILITY AND ACCESS OPPORTUNITY IN LOCATION-ALLOCATION MODELS [J].