# A Lifestyle-Based Perspective on the Mobility Choices and Preferences of Urban Travelers
## 5 Discussion and Limitations
This may be explained by the different levels of familiarity with technology, as Digitally Engaged Conventionalists (cluster 2) scored the highest on the number of electronic activities and electronic devices owned, while Eco-Conscious Social Adapters (cluster 1) scored the lowest. In line with these findings, previous studies on consumer intentions toward autonomous driving have shown that people more familiar with technology tend to have greater trust in autonomous vehicles [37; 38; 39]. These findings suggest that a nuanced, segment-specific approach may be necessary to effectively promote sustainable mobility choices and encourage the adoption of new transit infrastructure rather than a \"one-size-fits-all strategy\". Diversities among our clusters are also found in relation to individual perceptions of micromobility. Eco-Conscious Social Adapters (cluster 1) shared the strongest belief that micromobility is a credible option, while Socially Driven Digital Enthusiasts (cluster 4) are the weakest among all clusters. As [PERSON] et al. suggested [40], a green lifestyle propensity is a key determinant factor for the use of e-scooters, which seems to be supported in our case as cluster 1 exhibited strong concerns around recycling and energy savings. However, this does not fully explain the low micromobility acceptance among clusters 2 and 3 (also sharing strong environmental values), indicating that other factors (objective or subjective) are important determinants as well with active living being one of them [41]. Similarly, our clusters demonstrated significant differences in their belief that modes reflect social status, with Socially Driven Digital Enthusiasts (cluster 4) scoring the highest and Cautious Green Conservatives (cluster 3) the lowest on this aspect. It is well established in the transport literature that a car is often seen as a status symbol [24; 42; 43; 44; 45]. [PERSON] et al. found that love for personal mobility negatively affected public transport use [19], while [PERSON] and [PERSON] extensively discussed the symbolic-affective associations of cars at the individual level, which have had an effect on the increase in car ownership across Europe in recent years [27]. [PERSON] also found a connection between the symbolic meaning of cars and the influence of others' opinions: \"... the person being interviewed could explain how that car meant status to a spouse of a boyfriend/girlfriend, to a neighbor, or to other people in general\" [23] (p. 27). These findings align with our segment characteristics: cluster 4 comprises individuals who are highly affected by the choices of their closest people, whereas cluster 3 members are the least affected. Our work is guided by the overarching objective of supporting market segmentation approaches that can effectively encourage behavioral change in favor of sustainable mobility. We found that when mode choice is ideally decoupled from its typical criteria (cost, time, safety, lack of alternative), individuals tend to shift toward more sustainable choices. Moreover, cluster membership plays a role in the intensity of this shift (Table 1). In addition, we investigated people's willingness to adjust their necessary activities (work, education, personal obligations) and their desirable activities (leisure) to their preferred mode choice which also resulted in significant differences between our clusters. EcoConscious Social Adapters (cluster 1) displayed the highest score among all clusters as per their willingness to change both their desirable and necessary activities to fit their preferred mode choices, while Cautious Green Conservatives (cluster 3) displayed the lowest scores, especially for necessary activities. Cautious Green Conservatives exhibit lower willingness to change their behavior, which could be attributed to their more conservative or skeptical attitudes toward sustainability. This mirrors the findings of [PERSON] et al.