Measuring the goodness-of-fit of decision-tree models of discrete and continuous activity-travel choice: Methods and empirical illustration

被引:1
作者
Theo Arentze
Harry Timmermans
机构
[1] Eindhoven University of Technology, Urban Planning Group, Eindhoven
关键词
Action assignment; Activity-travel choice; Decision tree induction; Goodness of fit; Likelihood measures;
D O I
10.1007/s10109-003-0097-9
中图分类号
学科分类号
摘要
The use of decision tree models for predicting activity-travel choice is receiving increasing attention, but raises two related problems that are considered in this study. First, commonly used deterministic action-assignment rules should be replaced by probabilistic action-assignment rules. We develop such probabilistic rules for both discrete and continuous choice problems. Second, common goodness-of-fit measures such as the hit-ratio need to be replaced by likelihood measures. In this paper, we develop and empirically illustrate the interrelated methods and measures. The findings suggest that the new measures add information to existing statistics for discrete as well as the continuous choice.
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页码:185 / 206
页数:21
相关论文
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[21]  
Yamamoto T., Kitamura R., Fujii J., An analysis of driver's route choice behavior by data mining algorithms, The 81th Transportation Research Board Meeting, (2002)