SPATIAL AUTOREGRESSIVE ERROR-COMPONENTS IN TRAVEL FLOW MODELS

被引：25

作者：

BOLDUC, D ^{[1
]}

LAFERRIERE, R ^{[1
]}

SANTAROSSA, G ^{[1
]}

机构：

[1] UNIV MONTREAL, MONTREAL H3C 3J7, QUEBEC, CANADA

来源：

REGIONAL SCIENCE AND URBAN ECONOMICS | 1992年 / 22卷 / 03期

关键词：

D O I：

10.1016/0166-0462(92)90035-Y

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In this study, we propose a generalization of the error components formulation to model the correlation among the errors of a regression based on travel flow data. The error term is broken down into a sum of one component related to the origin zones, one component related to the destination zones and a remainder. The inter-dependencies among the errors are assumed to result from applying a first-order spatial autoregressive generating process to each component. An efficient estimation approach based on maximum likelihood is suggested to address the practical implementation of such a model with a large sample size.

引用

页码：371 / 385

页数：15

共 16 条

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Allen R. G., 1998, FAO Irrigation and Drainage Paper

[2]

BIVAND RS, 1984, GEOGR ANAL, V16, P25

[3] SPECIFICATION AND ESTIMATION OF SPATIAL ECONOMETRIC-MODELS - A DISCUSSION OF ALTERNATIVE STRATEGIES FOR SPATIAL ECONOMIC MODELING [J].