This study was aimed at clarifying the relative importance of symbolic-affective as opposed to instrumental-reasoned motives for car use. We examined which motivational dimensions are underlying the (un)attractiveness of car use, in order to distinguish a limited set of main motive categories. Three methods were developed, which differed in the extent to which the purpose of the task was apparent. The tasks were: (1) a similarity sorting of car-use episodes, (2) a Q-sorting following attractiveness of car-use episodes, and (3) a semantic-differential method for evaluating (un)attractive aspects of car use. The symbolic-affective motives for car use were better expressed when the aim of the research task was not too apparent. If the aim of the task was evident, respondents tended to evaluate car use in terms of instrumental-reasoned motives. Overall, the results indicate that both instrumental-reasoned and symbolic-affective functions of the motor car are significant dimensions underlying the attractiveness of car use.
Transportation Research Part F: Traffic Psychology and Behaviour – Elsevier
Published: Sep 1, 2001
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera