Incentives, Morality, Or Habit? Predicting Students’ Car Use for University Routes With the Models of Ajzen, Schwartz, and Triandis
Bibliographic Data
| ID | 23360613 |
|---|---|
| Authors | Sebastian Bamberg (0000-0003-1541-9616, Giessen School of Theology), Peter Schmidt (0000-0001-6954-8590, Giessen School of Theology) |
| Year | 2003 |
| Volume | 35 |
| Issue | 2 |
| Pages | 264-285 |
| Publication date | 2003-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Behavior (JOURNAL) |
| Journal identifiers | ISSN: 0013-9165 • E-ISSN: 1552-390X |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0013916502250134 |
| OpenAlex | W2083030076 |
| Language | EN |
| Citations received | 193 |
| References cited | 43 |
The predictive power of the Ajzen, Triandis, and Schwartz models are compared in the context of car use for university routes. Two hundred fifty-four students filled out a questionnaire designed to measure the components of the three models. In the prediction of intention to use a car, results indicated that one variable from the Trinandis model—role beliefs—increased the explanatory power offered by the components of the Ajzen model. In the prediction of self-reported car use, one variable of the Triandis model—car use habit—significantly increased the predictive power of the Ajzen model. The central variable of the Schwartz model—personal norm—exerted no significant effect either on intention or on behavior. The implications of the findings for interventions to reduce the car use of students for university routes are discussed.
Context (archaeology) · Control (management) · Explanatory power · Geography · Habit · Predictive power · Psychological intervention · Theory of planned behavior · Behavioral Health and Interventions · Computer Science · Environmental Education and Sustainability · Psychology · Social Psychology · Urban Transport and Accessibility
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| Unique citing works | 193 |
|---|---|
| Citations per year | 9,19 |
| Citation span | 2005 - 2026 (22) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 184 |