Abstract

• Psychological network models relax the restrictive assumptions of theoretical models of travel behavior. • The convenience of using the car takes a central position in the network. • Between-person and within-person network models show evidence of clustering. • At the within-person level no strong connections between attitudes and behaviors seem to exist. Psychological factors are generally thought to play an important role in the prediction of individual variations in travel behavior and travel related choices. To assess their effects in statistical models, three assumptions are typically made, namely: (1) the psychological factors influence behavior/choices and not vice versa, (2) psychological factors can be conceptualized as latent variables measured by observed indicators and (3) estimated between-person relationships are indicative of within-person relationships. Recent research has shown that each of these assumptions is conceptually and empirically problematic. This paper introduces to the field of travel behavior research an alternative modeling approach which has its roots in the emerging field of Network Psychometrics. This so-called psychological network model avoids the above mentioned problematic assumptions, by modeling the relationships between attitudinal and behavioral indicators as dynamic causal systems which can be operationalized as a network. We illustrate the new insights that may be gained from this approach in a travel behavior context. In particular, we estimate between-person and within-person network models using data from a (two-wave) panel survey containing indicators regarding travel modality use and related attitudes. Our results indicate that the extent to which the use of a mode is considered convenient is most strongly connected to the actual use of the corresponding mode, and that the convenience of using the car takes a central position in the attitude-behavior network. At the within-person level, no strong connections between attitudes and behaviors seem to exist. This latter finding serves as a warning against the practice, embodied in many popular travel behavior models, of interpreting associations between attitudes and (travel) behaviors as causal within-person relations.

Highlights

  • It is generally believed that psychological factors play an important role in explaining individual differences in travel behavior and travel-related choices

  • The models have yielded outcomes that could not have been revealed by applying models that are typically applied in travel behavior research, in particular, the finding that the convenience of the car takes a central position in the network and the observed clustering of the 6 items in two sub-clusters in both the between-person and within-person network

  • We explain how the psychological network approach is able to address three conceptual and empirical problems associated with latent variables, while providing a way to empirically explore the assumption of unidirectional causation and the assumed equivalence of between-person and within-person relationships

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Summary

Introduction

It is generally believed that psychological factors (attitudes and perceptions) play an important role in explaining individual differences in travel behavior and travel-related choices. An increasingly popular strand of econometric –so called Hybrid Choice– models includes psychological factors into the utility functions of the considered alternatives. These psychological factors are presumed to capture the inner workings of the behavioral decision process, leading to a more behaviorally realistic representation thereof (Ben-Akiva et al, 2002; Walker and Ben-Akiva, 2002; Vij and Walker, 2016).

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