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

被引：18

作者：

de Grange, Louis ^{[1
]}

Ibeas, Angel ^{[2
]}

Gonzalez, Felipe ^{[2
]}

机构：

[1] Diego Portales Univ, Dept Ind Engn, Santiago, Chile

[2] Univ Cantabria, Dept Transport, E-39005 Santander, Cantabria, Spain

来源：

NETWORKS & SPATIAL ECONOMICS | 2011年 / 11卷 / 03期

关键词：

Gravity model; Hierarchical model; Spatial correlation; Maximum likelihood; Multi-objective optimization; TRIP-DISTRIBUTION;

D O I：

10.1007/s11067-008-9097-0

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

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.

引用

页码：439 / 463

页数：25

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