A new perspective on the role of attitudes in explaining travel behavior: A psychological network model. (March 2020)
- Record Type:
- Journal Article
- Title:
- A new perspective on the role of attitudes in explaining travel behavior: A psychological network model. (March 2020)
- Main Title:
- A new perspective on the role of attitudes in explaining travel behavior: A psychological network model
- Authors:
- Kroesen, Maarten
Chorus, Caspar - Abstract:
- Highlights: 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. Abstract: 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 behaviorHighlights: 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. Abstract: 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. … (more)
- Is Part Of:
- Transportation research. Volume 133(2020)
- Journal:
- Transportation research
- Issue:
- Volume 133(2020)
- Issue Display:
- Volume 133, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 133
- Issue:
- 2020
- Issue Sort Value:
- 2020-0133-2020-0000
- Page Start:
- 82
- Page End:
- 94
- Publication Date:
- 2020-03
- Subjects:
- Travel behavior -- Psychological network model -- Causality -- Latent variable -- Attitudes -- Between-person and within-person
Transportation -- Research -- Periodicals
388.011 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09658564 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.tra.2020.01.014 ↗
- Languages:
- English
- ISSNs:
- 0965-8564
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274604
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23166.xml