A Hierarchical Gravity Model with Spatial Correlation: Mathematical Formulation and Parameter Estimation

被引：0
|
作者：
Louis de Grange
Angel Ibeas
Felipe González
机构：
[1] Diego Portales University,Industrial Engineering Department
[2] University of Cantabria,Department of Transport
来源：
Networks and Spatial Economics | 2011年 / 11卷
关键词：
Gravity model; Hierarchical model; Spatial correlation; Maximum likelihood; Multi-objective optimization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This study presents a hierarchical trip distribution gravity model that can accommodate various spatial correlation structures. It is formulated on the basis of the solution to an equivalent optimization problem, and its parameters are estimated using a sequential maximum likelihood procedure. We conclude that accounting for spatial correlation through a hierarchical structure incorporated into gravity-type trip distribution models significantly increases their explanatory and predictive powers and improves the results they generate for use in transportation system planning processes.
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页码：439 / 463
页数：24
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