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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2854

Title: Using decision tree induction systems for modeling space-time behavior
Authors: Arentze, Theo A.
Hofman, F
van Mourik, H
WETS, Geert
Issue Date: 2000
Citation: GEOGRAPHICAL ANALYSIS, 32(4). p. 330-350
Abstract: Discrete choice models are commonly used to predict individuals' activity and travel choices either separately or simultaneously in activity scheduling models. This paper investigates the possibilities of decision tree induction systems as an alternative approach. The ability of decision frees to represent heuristic decision rules is evaluated and a method of capturing interactions across decisions In a sequential decision model is outlined. Decision tree induction algorithms, such as C4.5, CART, and CHAID, are suited to device the decision rules from empirical data. A case study to illustrate the approach considers decisions of individuals when they are faced with the choice to combine different out-of-home activities into a multipurpose, multistop trip or make a trip fbr each activity separately. Data fron a large-scale activity diary survey are used to induce the decision rules. Possible directions of future research are identified.
Notes: Eindhoven Univ Technol, NL-5600 MB Eindhoven, Netherlands. Limburgs Univ Ctr, Diepenbeek, Belgium.Arentze, TA, Eindhoven Univ Technol, POB 513, NL-5600 MB Eindhoven, Netherlands.
URI: http://hdl.handle.net/1942/2854
ISI #: 000089944900003
ISSN: 0016-7363
Category: A1
Type: Journal Contribution
Validation: ecoom, 2001
Appears in Collections: Research publications

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