Table 9 Rotated factor matrix for car-only group
From: MaaS adoption intention among car commuters and Park&Ride users in suburban areas of Madrid Region
Factor (ordinal α) | Item | Loadings |
|---|---|---|
Gain motives (95) | G3 - App would allow me to arrive on time | 0.86 |
G1 - App would estimate my travel time | 0.85 | |
G6 - App would estimate total travel costs of different alternative routes | 0.84 | |
G5 - App would give me personalized information about my most frequent trips | 0.83 | |
G2 - App would suggest me an alternative route in case of an accident on the way | 0.83 | |
G4 - App would inform me in real-time about occupancy levels on public transport | 0.68 | |
G7 - App would reduce my travel costs | 0.62 | |
Technophilia (89) | T1 - I think it is interesting to try new apps | 0.85 |
T2 - I like to install new apps | 0.83 | |
T3 - I like travel and geolocation apps | 0.75 | |
T4 - I usually use apps to make payments, reservations, etc. | 0.72 | |
Hedonic-normative (89) | H1 - App would enable me to share my achievements in emissions’ reduction on social networks | 0.84 |
N1 - App would estimate CO2 emissions of my trips | 0.79 | |
N2 - App would enable me to reduce my CO2 emissions | 0.77 | |
H2 - App will make my trips more fun | 0.72 | |
H3 - App will estimate my calorie burn while travelling | 0.58 |
