Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics

被引：51

作者：

Arentze, TA ^{[1
]}

Timmermans, HJP ^{[1
]}

机构：

[1] Eindhoven Univ Technol, Urban Planning Grp, NL-5600 MB Eindhoven, Netherlands

来源：

TRANSPORTATION | 2005年 / 32卷 / 04期

关键词：

activity-travel behavior; bayesian belief networks; learning and adaptation behavior; mental maps; micro-simulation;

D O I：

10.1007/s11116-004-7964-1

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

This paper develops a model, based on Bayesian beliefs networks, for representing mental maps and cognitive learning into micro-simulation models of activity-travel behavior. Mental maps can be used to address the problem that choice sets in models of travel demand are often ad hoc specified. The theory underlying the model is discussed, a specification is derived and numerical simulation is used to illustrate the properties of the model.

引用

页码：321 / 340

页数：20

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