A cluster analysis of disaggregate decision‐making processes in travel mode‐choice behavior

Abstract

Understanding the process of decision‐making by which an individual chooses a travel mode is important for transportation researchers in constructing disaggregate travel behavior models and estimating aggregate travel demand. In order to determine if a common decision process applies to the mode‐choice behavior of the majority travellers, the data of a transportation attitudinal survey was examined in a cluster analysis. Four basic decision models were tested: the linear additive model, the conjunctive‐maximin model, the lexicographic model, and the lexicographic‐conjunctive model. The cluster analysis identified three homogeneous groups, based on their distinctive patterns of decision‐making. This suggests that different processes of decision‐making exist in travel mode‐choice behavior. Comparisons between different clustering criteria indicate that decision rules are more effective than travel attributes in differentiating travellers’ mode‐choice behavior.

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