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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 TIMMERMANS, Harry WETS, Geert |
Issue Date: | 2000 | Publisher: | OHIO STATE UNIV PRESS | Source: | 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. | Document URI: | http://hdl.handle.net/1942/2854 | ISI #: | 000089944900003 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2001 |
Appears in Collections: | Research publications |
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