# Investigating the Influential Factors of Ride-Hailing Usage Frequency in the Post-Pandemic Era
## 4 Survey Results  
### Personal Attributes Analysis  
Based on the statistics of valid samples, the basic user information is shown in Table 1. In terms of gender, the proportion of males is 40.56%, and that of females is 59.44%. According to the Seventh National Population Census Bulletin of Nanjing, the proportions of males and females was 51.05% and 48.95%, respectively [28]. This result reflects the high level of engagement of women participating in online surveys, which may be related to their greater activity on social media platforms. [PERSON] et al. conducted a survey on ride-hailing users in Nanjing, and the results showed that women accounted for 55.4%, which was close to the result of this study [29]. The group aged 19-40 accounts for the highest proportion at 87.19%, which aligns closely with the findings of [PERSON] et al. and [PERSON] et al. in their surveys on shared travel in Nanjing [29; 30]. This is mainly because the ride-hailing service is a new service built on smart phones and the internet, and young people tend to more easily accept such modern applications of technology. By comparison, those aged 18 and below, 41-65, and 66 and above account for 8.05%, 3.45%, and 1.31%, respectively. The proportion of respondents in the survey with a bachelor/associate degree and above and the proportion of students are relatively high. The survey findings conducted by [PERSON] et al. on shared bicycle usage behavior in Nanjing indicated a similar proportion of individuals with undergraduate education levels [30]. Those with higher educational level typically have greater purchasing power and higher expectations for service quality, making them more inclined to choose ride-hailing services. Regarding household monthly income, the proportions of those with a monthly household income below 5000, 5000-10,000, and 10,000-15,000 are 27.75%, 41.87%, and 17.57%, respectively. This income distribution indicates that the respondents largely belong to the middle-income group. This population prioritizes time efficiency and convenience, and ride-hailing services can help them avoid the uncertainty and unpredictability of public transportation. Regarding whether they own a car, 64.20% of the respondents own a private car, while 35.80% do not. Users with private cars mainly choose ride-hailing services because they can satisfy their needs for door-to-door service and eliminate the inconvenience of finding parking spaces. For those users who do not own a private car, the ride-hailing service may be a cost-effective travel mode.  
In general, compared with the population structure distribution in Nanjing, the income and education level of the survey samples are higher than the average level of the census population, and the average age is relatively younger than the census data. These disparities are commonly expected for online-recruited samples in similar research contexts [31; 32]. However, compared with the results of recent related research on shared travel in Nanjing, the distribution of the survey samples in this study is similar, so the survey samples in this study still have reference value for understanding the factors affecting the travel frequency of ride-hailing users in the post-pandemic era.