## 4 Discussion  
Analyzing data from 1451 respondents who participated in the study, it can be concluded that there is a strong predominance of men (70%) over women (25%). Among the respondents, the primary age group is individuals aged 25-34 (35%). It should be noted that these results are consistent with the findings of [PERSON] et al. [62] concerning car-sharing users, which demonstrated that younger men are more likely to use alternative forms of transport, including car sharing. Similarly, the high percentage of people with secondary and higher education (68% in total) indicates a population of well-educated users, which is also supported by the research of [PERSON] and [PERSON] [63], suggesting that the level of education influences the awareness and acceptance of innovative transport solutions. The predominance of full-time employment (60%) and the average income of most respondents highlight the economic considerations in the decision to use car-sharing services. According to the study by [PERSON] [64], transport costs and availability are significant factors influencing the choice to use peer-to-peer car-sharing services. Moreover, the regional concentration of respondents in urban areas (80% residing in cities) reflects the potential of peer-to-peer car sharing to address mobility challenges in densely populated areas, supporting [PERSON] and [PERSON]'s [65] argument that these services can help reduce the number of private vehicles and enhance urban transport efficiency. Overall, 80% of respondents live in urban areas, aligning with the findings of [PERSON] et al. [66], which indicate a greater readiness among urban residents to use alternative forms of transport due to better service availability and more significant parking challenges. The frequency of vehicle use demonstrates that despite the growing popularity of peer-to-peer car sharing, personal cars still play a crucial role in the daily mobility of the respondents. This correlates with the observations of [PERSON] et al. [67], who noted that car sharing does not completely replace car ownership but rather complements existing means of transport, particularly for occasional transport needs. The analysis using Social Network Analysis (SNA) reveals important structural characteristics of how users select vehicles for peer-to-peer car sharing. The relatively low network density (0.2536) indicates that the decision-making process is influenced by a few central factors rather than representing an evenly distributed set of considerations. Key features, such as fuel efficiency (F1, F7) and battery capacity (F12), are highly interconnected with other attributes, as evidenced by their high degree centrality values (0.3913). These results align with previous studies emphasizing the economic and environmental considerations driving users' decisions. Additionally, the short average path length (1.872) suggests that users can quickly navigate and assess these central features, making the decision process more efficient. This implies that platforms should prioritize the visibility and integration of these key factors to improve the overall user experience. In peer-to-peer car-sharing systems, fleet management takes on a different role compared to that in traditional car-sharing models. Instead of directly managing the fleet, platform operators must focus on creating a robust system that incentivizes vehicle owners--ordinary individuals--to list their cars on the platform. Research by [PERSON] et al. [68] highlights that individuals are more likely to participate in such schemes when there are clear economic benefits and when cars with higher efficiency and modern features are preferred by renters. Platforms could offer tools or guidelines to help vehicle owners maintain their cars in line with user expectations, such as ensuring good fuel efficiency or equipping vehicles with basic safety features. The key challenge for management is balancing the needs of renters with the flexibility desired by vehicle owners.