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Practical Method for the Estimation of Trip Generation and Trip Chaining
Abstract
A model system of trip generation and trip chaining was developed by integrating concepts from activity-based analysis. The structure of the model system is recursive, depicting a sequential decision-making mechanism. The results were based on a data set from the Detroit metropolitan area. They were compared with those of a previous study that used a data set from the Netherlands. Differences were observed not only in the values of the regression parameters estimated but also in the decision mechanism inferred.
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