Abstract
On-demand ridepooling (ODR) can transform public transport by addressing urban challenges. However, to motivate usage, ODR should satisfy users’ psychological needs. The present study investigated to what extent needs predict ODR use, and to what extent ODR need satisfaction differs from key transportation modes. We conducted a longitudinal study spanning three months with weekly online surveys, focusing on nighttime ODR in an urban area. Longitudinal data were available from N = 29 participants. Results showed that need fulfillment significantly predicted ODR use, especially perceived competence. Discrete dimensions analyses showed that autonomy and competence were significantly predicting higher ODR usage. Comparing ODR and public bus, significant differences were found in all need dimensions; ODR performed consistently better. In comparing ODR and car, the only significant difference was monetary related; ODR was perceived as more cost-effective. In conclusion, psychological needs shape ODR usage and are crucial for designing such services.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications |
| Number of pages | 12 |
| Place of Publication | Stanford CA USA |
| Publisher | ACM |
| Publication date | 01.09.2024 |
| Pages | 405-416 |
| ISBN (Print) | 9798400705106 |
| DOIs | |
| Publication status | Published - 01.09.2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 11 Sustainable Cities and Communities
Research Areas and Centers
- Research Area: Intelligent Systems
DFG Research Classification Scheme
- 4.41-04 Traffic and Transport Systems, Intelligent and automated Traffic
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