In this study we seek to understand the relation between travel information, transit use intentions and night travel. We hypothesize that transit use is related to the perceived usefulness and the ease-of-use of the system, which are related to information quality and real-time information availability. The hypothesized relations are anchored theoretically in the Technology Acceptance Model and validated empirically in two case-studies: (i) Copenhagen (Denmark), characterized by a highly integrated transit system with an advanced web-based information system; (ii) Recife and Natal (Brazil), characterized by a lower perceived level-of-service and non-integrated information sources. Data from a tailor-made survey of 1123 university students were collected. Structural equation models were employed for explaining the use of transit as a function of the observed respondent characteristics and the latent constructs. The results show that: (i) information search quality and source explain transit use; (ii) information quality underlies level-of-service and familiarity; (iii) the use of real-time information links to information quality and familiarity; (iv) general transit use and non-routine use during night and to unfamiliar places are correlated; and (v) the behavioral framework is confirmed with the two case-studies.
|Original language||American English|
|Number of pages||15|
|Journal||Transportation Research, Part A: Policy and Practice|
|State||Published - 1 Jan 2017|
Bibliographical noteFunding Information:
The authors gratefully acknowledge that the study forms part of the project “Integrated Public Transport Optimization and Planning” (IPTOP), funded by the Innovation Fund Denmark . The work was conducted during the stay of Mayara Moraes Monteiro at DTU, supported by CNPq Brazil - National Council for Scientific and Technological Development. The authors are thankful to three anonymous reviewers for their helpful comments.
© 2016 Elsevier Ltd
- Information systems
- Public transport
- Structural equation models
- Technology acceptance model
- Transit use